Huan-feng Shen
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Huan-feng Shenengineering Degrees
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Applied Physics
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Electrical Engineering
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Engineering
Huan-feng Shen's Degrees
- PhD Electrical Engineering National Taiwan University
- Masters Electrical Engineering National Taiwan University
- Bachelors Electrical Engineering National Taiwan University
Why Is Huan-feng Shen Influential?
(Suggest an Edit or Addition)Huan-feng Shen's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Hyperspectral Image Restoration Using Low-Rank Matrix Recovery (2014) (604)
- Deep learning in environmental remote sensing: Achievements and challenges (2020) (469)
- Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model (2012) (456)
- Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration (2016) (399)
- Image super-resolution: The techniques, applications, and future (2016) (355)
- Land-cover classification with high-resolution remote sensing images using transferable deep models (2018) (346)
- Missing Information Reconstruction of Remote Sensing Data: A Technical Review (2015) (305)
- Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network (2017) (303)
- A super-resolution reconstruction algorithm for surveillance images (2010) (286)
- A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution (2007) (277)
- A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening (2017) (273)
- Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach (2017) (270)
- Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network (2018) (249)
- Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China (2016) (242)
- Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method (2013) (229)
- Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning (2014) (227)
- A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images (2009) (221)
- A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video (2007) (210)
- An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images (2016) (188)
- Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation (2015) (184)
- Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges (2019) (160)
- Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature (2015) (160)
- Point-surface fusion of station measurements and satellite observations for mapping PM 2.5 distribution in China: Methods and assessment (2016) (156)
- A Practical Compressed Sensing-Based Pan-Sharpening Method (2012) (141)
- Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model (2012) (141)
- A super-resolution reconstruction algorithm for hyperspectral images (2012) (138)
- Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors (2019) (137)
- Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model (2014) (136)
- Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation (2018) (129)
- The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations (2017) (127)
- Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images (2012) (126)
- Two-Step Sparse Coding for the Pan-Sharpening of Remote Sensing Images (2014) (120)
- An effective thin cloud removal procedure for visible remote sensing images (2014) (115)
- Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model (2014) (106)
- Multi-feature combined cloud and cloud shadow detection in GF-1 WFV imagery (2016) (96)
- Estimating Regional Ground‐Level PM2.5 Directly From Satellite Top‐Of‐Atmosphere Reflectance Using Deep Belief Networks (2017) (93)
- Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2.5 remote sensing data (2018) (92)
- Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary Learning (2014) (92)
- Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images (2009) (91)
- High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations (2017) (87)
- Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network (2018) (81)
- The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations. (2019) (80)
- Noise Removal From Hyperspectral Image With Joint Spectral–Spatial Distributed Sparse Representation (2016) (75)
- A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method (2016) (72)
- Estimation of ultrahigh resolution PM2.5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals (2018) (72)
- An Online Coupled Dictionary Learning Approach for Remote Sensing Image Fusion (2014) (71)
- Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning (2020) (71)
- A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud (2018) (70)
- Robust registration for remote sensing images by combining and localizing feature- and area-based methods (2019) (70)
- Adaptive Multiple-Frame Image Super-Resolution Based on U-Curve (2010) (70)
- A robust mosaicking procedure for high spatial resolution remote sensing images (2015) (69)
- Sparse-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information (2015) (69)
- Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences (2014) (67)
- Regional Spatially Adaptive Total Variation Super-Resolution With Spatial Information Filtering and Clustering (2013) (66)
- Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces (2018) (66)
- Remote Sensing Image Mosaicking: Achievements and Challenges (2019) (65)
- Patch Matching-Based Multitemporal Group Sparse Representation for the Missing Information Reconstruction of Remote-Sensing Images (2016) (65)
- Single image haze removal considering sensor blur and noise (2013) (64)
- Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial–Spectral Group Sparsity (2016) (63)
- A locally adaptive L1-L2 norm for multi-frame super-resolution of images with mixed noise and outliers (2014) (61)
- Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data (2020) (61)
- Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties (2016) (61)
- An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine (2020) (59)
- Reconstructing MODIS LST Based on Multitemporal Classification and Robust Regression (2015) (59)
- A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation (2020) (58)
- Recovering Reflectance of AQUA MODIS Band 6 Based on Within-Class Local Fitting (2011) (57)
- A spatial and temporal reflectance fusion model considering sensor observation differences (2013) (56)
- Polarimetric-Spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers (2014) (55)
- A Perceptually Inspired Variational Method for the Uneven Intensity Correction of Remote Sensing Images (2012) (54)
- Land-surface temperature retrieval at high spatial and temporal resolutions based on multi-sensor fusion (2013) (53)
- A long-term and comprehensive assessment of the urbanization-induced impacts on vegetation net primary productivity. (2019) (53)
- Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution (2016) (53)
- Estimation of spatiotemporal PM1.0 distributions in China by combining PM2.5 observations with satellite aerosol optical depth. (2019) (51)
- A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection (2021) (51)
- A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT VEGETATION NDVI Time-Series Data (2015) (49)
- The recent developments in cloud removal approaches of MODIS snow cover product (2019) (47)
- An Adaptive Nonlocal Regularized Shadow Removal Method for Aerial Remote Sensing Images (2014) (47)
- Hyperspectral Image Denoising With a Spatial–Spectral View Fusion Strategy (2014) (46)
- Exploring the association between the built environment and remotely sensed PM2.5 concentrations in urban areas (2019) (46)
- Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5 (2018) (45)
- The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data. (2019) (45)
- Spatial–Spectral Fusion by Combining Deep Learning and Variational Model (2018) (44)
- Hyperspectral image recovery employing a multidimensional nonlocal total variation model (2015) (43)
- Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images (2018) (43)
- Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S (2020) (43)
- Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression (2014) (42)
- The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States (2015) (42)
- Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image (2016) (42)
- A Review on Recent Developments in Fully Polarimetric SAR Image Despeckling (2018) (42)
- Pansharpening for Cloud-Contaminated Very High-Resolution Remote Sensing Images (2019) (41)
- Monitoring snow cover variability (2000–2014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method (2017) (41)
- SAR Image Despeckling by the Use of Variational Methods With Adaptive Nonlocal Functionals (2016) (40)
- Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation (2019) (39)
- A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods (2018) (38)
- Multiframe image super-resolution adapted with local spatial information. (2011) (37)
- Adaptive Anisotropic Diffusion Method for Polarimetric SAR Speckle Filtering (2015) (37)
- Deep learning based cloud detection for remote sensing images by the fusion of multi-scale convolutional features (2018) (37)
- A spatially adaptive retinex variational model for the uneven intensity correction of remote sensing images (2014) (36)
- A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes (2019) (36)
- Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation (2015) (36)
- DEM generation from contours and a low-resolution DEM (2017) (35)
- Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion (2021) (35)
- Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques (2021) (33)
- Improving the estimation of hydrological states in the SWAT model via the ensemble Kalman smoother: Synthetic experiments for the Heihe River Basin in northwest China (2014) (33)
- Multimodal registration of remotely sensed images based on Jeffrey’s divergence (2016) (33)
- Fusion of multi-scale DEMs using a regularized super-resolution method (2015) (32)
- Pansharpening with a Guided Filter Based on Three-Layer Decomposition (2016) (32)
- Assimilating multi-source data into land surface model to simultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields. (2016) (31)
- An Integrated Method for Reconstructing Daily MODIS Land Surface Temperature Data (2019) (30)
- Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection (2021) (30)
- A Blind Restoration Method for Remote Sensing Images (2012) (29)
- A residual convolutional neural network for polarimetric SAR image super-resolution (2020) (29)
- A Variational Gradient-based Fusion Method for Visible and SWIR Imagery (2012) (28)
- Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns (2021) (28)
- Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and Residual Correction (2019) (27)
- A piece-wise approach to removing the nonlinear and irregular stripes in MODIS data (2014) (27)
- SAR Image Despeckling Employing a Recursive Deep CNN Prior (2021) (26)
- Zoom-based super-resolution reconstruction approach using prior total variation (2007) (26)
- A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation (2020) (26)
- Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery (2016) (26)
- Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset (2020) (25)
- Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S (2018) (24)
- Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution (2020) (24)
- Hyperspectral Image Denoising with a Combined Spatial and Spectral Weighted Hyperspectral Total Variation Model (2016) (22)
- Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations (2019) (22)
- A Principal Component Based Haze Masking Method for Visible Images (2014) (21)
- Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China (2019) (21)
- Advances and Opportunities in Remote Sensing Image Geometric Registration: A systematic review of state-of-the-art approaches and future research directions (2021) (20)
- A MAP algorithm to super-resolution image reconstruction (2004) (19)
- Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach (2020) (19)
- Estimating snow depth by combining satellite data and ground-based observations over Alaska: A deep learning approach (2020) (19)
- A general variational framework considering cast shadows for the topographic correction of remote sensing imagery (2016) (19)
- A differential information residual convolutional neural network for pansharpening (2020) (19)
- Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping (2022) (19)
- A Two-Stage Fusion Framework to Generate a Spatio-Temporally Continuous MODIS NDSI Product over the Tibetan Plateau (2019) (19)
- Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error. (2018) (18)
- A 33-Year NPP Monitoring Study in Southwest China by the Fusion of Multi-Source Remote Sensing and Station Data (2017) (18)
- Differential Information Residual Convolutional Neural Network for Pansharpening (2019) (18)
- Evaluation of Multiple Downscaled Microwave Soil Moisture Products over the Central Tibetan Plateau (2017) (18)
- Improving Spatial Coverage for Aqua MODIS AOD using NDVI-Based Multi-Temporal Regression Analysis (2017) (18)
- A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar (2021) (18)
- Robust Registration by Rank Minimization for Multiangle Hyper/Multispectral Remotely Sensed Imagery (2014) (18)
- CLOUD DETECTION BY FUSING MULTI-SCALE CONVOLUTIONAL FEATURES (2018) (18)
- Shadow removal based on separated illumination correction for urban aerial remote sensing images (2019) (16)
- Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating Minimization (2014) (16)
- A Nonlinear Guided Filter for Polarimetric SAR Image Despeckling (2019) (15)
- Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects (2022) (15)
- Region-based adaptive anisotropic diffusion for image enhancement and denoising (2010) (15)
- High-Spatial-Resolution Population Exposure to PM2.5 Pollution Based on Multi-Satellite Retrievals: A Case Study of Seasonal Variation in the Yangtze River Delta, China in 2013 (2019) (15)
- Terra MODIS band 5 Stripe noise detection and correction using MAP-based algorithm (2011) (15)
- A Blind Super-Resolution Reconstruction Method Considering Image Registration Errors (2015) (15)
- INTEGRATED FUSION METHOD FOR MULTIPLE TEMPORAL-SPATIAL-SPECTRAL IMAGES (2012) (15)
- Climate Control on Net Primary Productivity in the Complicated Mountainous Area: A Case Study of Yunnan, China (2018) (14)
- Block Adjustment-Based Radiometric Normalization by Considering Global and Local Differences (2020) (14)
- Universal reconstruction method for radiometric quality improvement of remote sensing images (2010) (14)
- Remote sensing data quality model: from data sources to lifecycle phases (2019) (14)
- Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties (2019) (13)
- Generating High-Quality and High-Resolution Seamless Satellite Imagery for Large-Scale Urban Regions (2019) (13)
- Normalization of medium-resolution NDVI by the use of coarser reference data: method and evaluation (2014) (13)
- A Spatial–Spectral Adaptive Haze Removal Method for Visible Remote Sensing Images (2020) (12)
- Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated method (2015) (12)
- A unified framework for spatio-temporal-spectral fusion of remote sensing images (2015) (12)
- Spatiotemporal analysis of water area annual variations using a Landsat time series: a case study of nine plateau lakes in Yunnan province, China (2016) (12)
- A sub-pixel mapping algorithm based on artificial immune systems for remote sensing imagery (2009) (11)
- Missing Information Reconstruction for Single Remote Sensing Images Using Structure-Preserving Global Optimization (2017) (11)
- Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging (2020) (11)
- The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year (2020) (11)
- Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system (2021) (11)
- Long-term urban impervious surface monitoring using spectral mixture analysis: A case study of Wuhan city in China (2016) (10)
- Accuracy assessment of SRTM V4.1 and ASTER GDEM V2 in high-altitude mountainous areas: A case study in Yulong Snow Mountain, China (2015) (10)
- Multiple timescale analysis of the urban heat island effect based on the Community Land Model: a case study of the city of Xi’an, China (2017) (10)
- A Remote Sensing Spatiotemporal Fusion Model of Landsat and Modis Data via Deep Learning (2018) (10)
- Global air quality change during COVID-19: a synthetic analysis of satellite, reanalysis and ground station data (2021) (10)
- Efficacy of Possible Strategies to Mitigate the Urban Heat Island Based on Urbanized High-Resolution Land Data Assimilation System (u-HRLDAS) (2019) (10)
- Polarimetric SAR Image Super-Resolution VIA Deep Convolutional Neural Network (2019) (10)
- A noise-adjusted iterative randomized singular value decomposition method for hyperspectral image denoising (2014) (9)
- Regional-scale winter wheat phenology monitoring using multisensor spatio-temporal fusion in a South Central China growing area (2016) (9)
- Framelet-based sparse regularization for uneven intensity correction of remote sensing images in a retinex variational framework (2016) (9)
- Region-by-Region Registration Combining Feature-Based and Optical Flow Methods for Remote Sensing Images (2021) (9)
- Urban Classification by the Fusion of Thermal Infrared Hyperspectral and Visible Data (2015) (9)
- Monitoring of Historical Glacier Recession in Yulong Mountain by the Integration of Multisource Remote Sensing Data (2018) (9)
- Shadow removal based on clustering correction of illumination field for urban aerial remote sensing images (2017) (8)
- Feature selection based on max–min-associated indices for classification of remotely sensed imagery (2012) (8)
- A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES (2016) (8)
- Improving Soil Moisture Estimation with a Dual Ensemble Kalman Smoother by Jointly Assimilating AMSR-E Brightness Temperature and MODIS LST (2017) (8)
- A two-step deep learning framework for mapping gapless all-weather land surface temperature using thermal infrared and passive microwave data (2022) (8)
- Sensor web - Enabled flood event process detection and instant service (2019) (8)
- Cloud removal by fusing multi-source and multi-temporal images (2017) (7)
- Real-time and Seamless Monitoring of Ground-level PM2.5 Using Satellite Remote Sensing (2018) (7)
- A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅ (2021) (7)
- Monitoring Three-Decade Expansion of China's Major Cities Based on Satellite Remote Sensing Images (2020) (7)
- An attention mechanism based convolutional network for satellite precipitation downscaling over China (2022) (7)
- Comparison of big-leaf and two-leaf light use efficiency models for GPP simulation after considering a radiation scalar (2022) (7)
- Generating Comparable and Fine-Scale Time Series of Summer Land Surface Temperature for Thermal Environment Monitoring (2021) (7)
- Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques (2019) (7)
- Forest height mapping using inventory and multi-source satellite data over Hunan Province in southern China (2022) (7)
- Spatially continuous mapping of daily global ozone distribution (2004–2014) with the Aura OMI sensor (2016) (7)
- Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network (2017) (7)
- Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network (2021) (6)
- Relationships analysis of land surface temperature with vegetation indicators and impervious surface fraction by fusing multi-temporal and multi-sensor remotely sensed data (2015) (6)
- Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PM2.5 Mapping (2019) (6)
- Opposite Spatiotemporal Patterns for Surface Urban Heat Island of Two "Stove Cities" in China: Wuhan and Nanchang (2021) (6)
- The relationships between PM2.5 and AOD in China: About and behind spatiotemporal variations (2018) (6)
- Deep Learning for Ground-Level PM2.5 Prediction from Satellite Remote Sensing Data (2018) (6)
- A remote sensing assessment index for urban ecological livability and its application (2022) (5)
- A novel solution for remote sensing of air quality: From satellite reflectance to ground PM2.5 (2017) (5)
- SARF: A Simple, Adjustable, and Robust Fusion Method (2021) (5)
- Spatiotemporal Fusion With Only Two Remote Sensing Images as Input (2020) (5)
- Oblique Stripe Removal in Remote Sensing Images via Oriented Variation (2018) (5)
- Multispectral and SAR Image Fusion Based on Laplacian Pyramid and Sparse Representation (2022) (5)
- STAR NDSI collection: A cloud-free MODIS NDSI dataset (2001–2020) for China (2022) (5)
- PolSAR anisotropic diffusion filter with a refined similarity measure and an adaptive fidelity constraint (2016) (5)
- MOUNTAINOUS REMOTE SENSING IMAGES REGISTRATION BASED ON IMPROVED OPTICAL FLOW ESTIMATION (2019) (5)
- Fusion of multispectral and SAR images using sparse representation (2016) (5)
- [Maximum a posteriori fusion method based on gradient consistency constraint for multispectral/panchromatic remote sensing images]. (2014) (5)
- A tale of two cities: different urban heat mitigation efficacy with the same strategies (2020) (5)
- Remote Sensing Image Classification Using Deep–Shallow Learning (2021) (5)
- Deep-Learning-Based Super-Resolution of Video Satellite Imagery by the Coupling of Multiframe and Single-Frame Models (2022) (5)
- Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network (2022) (5)
- DESTRIPING AND INPAINTING OF REMOTE SENSING IMAGES USING MAXIMUM A-POSTERIORI METHOD (2008) (5)
- Registration of multitemporal GF-1 remote sensing images with weighting perspective transformation model (2017) (5)
- A METHOD OF IMAGE RESOLUTION ENHANCEMENT BASED ON THE MATCHING TECHNIQUE (2004) (4)
- Effect characteristics of Chinese New Year fireworks/firecrackers on PM2.5 concentration at large space and time scales (2016) (4)
- Validation approaches for satellite-based PM2.5 estimation: Assessment and a new approach (2018) (4)
- Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening (2017) (4)
- A scattering law based cirrus correction method for Landsat 8 OLI visible and near-infrared images (2021) (4)
- A spatial — Spectral adaptive haze removal method for remote sensing images (2017) (4)
- One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination (2022) (4)
- Multifrequency Polarimetric SAR Image Despeckling by Iterative Nonlocal Means Based on a Space-Frequency Information Joint Covariance Matrix (2019) (4)
- AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATIONRECONSTRUCTION AND RESOLUTION ENHANCEMENT (2017) (4)
- Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods (2012) (4)
- Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data (2021) (4)
- An Adaptive Non-local Means Filter Based on Region Homogeneity (2013) (4)
- Spatial-Spectral Fusion in Different Swath Widths by a Recurrent Expanding Residual Convolutional Neural Network (2019) (4)
- Building damage information investigation after earthquake using single post-event PolSAR image (2016) (4)
- Extracting urban water by combining deep learning and Google Earth Engine (2019) (3)
- Simulating the Response of the Surface Urban Heat Environment to Land Use and Land Cover Changes: A Case Study of Wuhan, China (2021) (3)
- A Global Seamless DEM Based on Multi-Source Data Fusion (GSDEM-30): Product Generation and Evaluation (2019) (3)
- ESPFNet: An Edge-Aware Spatial Pyramid Fusion Network for Salient Shadow Detection in Aerial Remote Sensing Images (2021) (3)
- Hourly PM2.5 Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations (2021) (3)
- Reconstructing global PM2.5 monitoring dataset from OpenAQ using a two-step spatio-temporal model based on SES-IDW and LSTM (2022) (3)
- Coupling Dual Graph Convolution Network and Residual Network for Local Climate Zone Mapping (2022) (3)
- A Spatial and Temporal Non-Local Filter Based Data Fusion (2016) (3)
- Spatially adaptive nonlocal total variation for PolSAR despeckling (2014) (3)
- The recent developments in spatio-temporally continuous snow cover product generation (2019) (3)
- On the Generation of Gapless and Seamless Daily Surface Reflectance Data (2018) (3)
- Coupling Model- and Data-Driven Methods for Remote Sensing Image Restoration and Fusion: Improving physical interpretability (2022) (3)
- Automatic cloud and cloud shadow detection in GF-1 WFV imagery using multiple features (2016) (3)
- Multi-Vehicle Object Tracking in Satellite Video Enhanced by Slow Features and Motion Features (2021) (3)
- Missing Data Reconstruction for Remote Sensing Images With Weighted Low-Rank Tensor Model (2019) (3)
- A universal remote sensing image quality improvement method with deep learning (2016) (3)
- A Unified Spatial-Temporal-Spectral Learning Framework for Reconstructing Missing Data in Remote Sensing Images (2018) (2)
- Estimating Surface Soil Moisture from Satellite Observations Using Machine Learning Trained on In Situ Measurements in the Continental U.S. (2019) (2)
- An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images (2016) (2)
- SMOS soil moisture downscaling based on back propagation neural network with MODIS LST and EVI (2016) (2)
- An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images (2021) (2)
- CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images (2021) (2)
- Radiometric quality improvement of hyperspectral remote sensing images: a technical tutorial on variational framework (2021) (2)
- FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images (2022) (2)
- Miss data reconstruction in remote sensing images with a double weighted tensor low rank model (2017) (2)
- Hyperspectral images reconstruction based super-pixel mapping using cross-channel sparse model (2013) (2)
- A Deep Learning-Based Heterogeneous Spatio-Temporal-Spectral Fusion: SAR and Optical Images (2021) (2)
- Downscaling GNSS-R Based Vegetation Water Content Product Using Random Forest Model (2019) (2)
- Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory (2012) (2)
- Can Terrestrial Restoration Methodologies be Transferred to Planetary Hyperspectral Imagery? A Quantitative Intercomparison and Discussion (2020) (2)
- Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems (2023) (2)
- A MAP Approach for Joint Image Registration, Blur Identification and Super Resolution (2009) (2)
- Temporal Domain Group Sparse Representation Based Cloud Removal for Remote Sensing Images (2015) (2)
- Single Remote Sensing Image Haze Removal Based on Spatial and Spectral Self-Adaptive Model (2015) (1)
- Blind super-resolution reconstruction method based on maximum a posterior estimation: Blind super-resolution reconstruction method based on maximum a posterior estimation (2011) (1)
- Time Dependent Robust Anisotropic Diffusion Processes: Time Dependent Robust Anisotropic Diffusion Processes (2009) (1)
- Mapping PM2.5 distribution in China by fusing station measurements and satellite observation (2016) (1)
- STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products (2021) (1)
- Quality improvement of hyperspectral remote sensing images: A technical overview (2016) (1)
- Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images (2023) (1)
- Estimating Snow-Depth by Fusing Satellite and Station Observations: A Deep Learning Approach (2019) (1)
- Cloud and Shadow Removal for Sentinel-2 by Progressively Spatiotemporal Patch Group Learning (2019) (1)
- Forward-and-backward diffusion for hyperspectral remote sensing image smoothing and enhancement (2008) (1)
- Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data (2022) (1)
- Combined the Data-Driven with Model-Driven Stragegy: A Novel Framework for Mixed Noise Removal in Hyperspectral Image (2020) (1)
- Cascaded Downscaling–Calibration Networks for Satellite Precipitation Estimation (2022) (1)
- Hypspectral image denoising via multidimensional nonlocal model (2013) (1)
- Global air quality change during COVID-19: a synthetic result of human activities and meteorology (2020) (1)
- Analysis model based recovery of remote sensing data (2014) (1)
- A New Downscaling-Calibration Procedure for TRMM Precipitation Data Over Yangtze River Economic Belt Region Based on a Multivariate Adaptive Regression Spline Model (2022) (1)
- Numerical simulation of diurnal variation of urban land surface temperature based on CLM4.5 (2016) (1)
- An L1-regularized variational approach for NDVI time-series reconstruction considering inter-annual seasonal similarity (2022) (1)
- Mapping PM2.5 concentration at sub-km level resolution: a dual-scale retrieval method (2019) (1)
- Temperature and Emissivity Retrieval from Hyperspectral Thermal Infrared Data Using Dictionary-Based Sparse Representation for Emissivity (2023) (0)
- Hypspectral image denoising with a multi-view fusion strategy (2012) (0)
- Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images (2022) (0)
- Enhancement of vertical cloud-induced radiative heating in East Asian monsoon circulation derived from CloudSat-CALIPSO observations (2020) (0)
- An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone (2022) (0)
- Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion (2021) (0)
- Performance comparison of Fengyun-4A and Himawari-8 in PM2.5 estimation in China (2021) (0)
- A fast two-step algorithm for large-area thick cloud removal in high-resolution images (2022) (0)
- Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling (2022) (0)
- Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network (2021) (0)
- Validation of MODIS 1-Km MAIAC Aerosol Products with AERONET in China During 2008-2016 (2019) (0)
- Urban Expansion Trajectories in China’s 36 Major Cities (2019) (0)
- A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series (2023) (0)
- Improving urban extent extraction from VHR optical data by means of cloud detection and image reconstruction (2016) (0)
- A Spatiotemporal Constrained Machine Learning Method for OCO-2 Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction (2022) (0)
- PolSAR anisotropic di ff usion fi lter with a re fi ned similarity measure and an adaptive fi delity constraint (2016) (0)
- Solid Waste Detection in Cities Using Remote Sensing Imagery Based on a Location-Guided Key Point Network With Multiple Enhancements (2023) (0)
- Foreword to the Special Issue on Quality Improvements of Remote Sensing Data (2018) (0)
- The Spatio-Temporal Reconstruction of Lake Water Levels Using Deep Learning Models: A Case Study on Altai Mountains (2022) (0)
- Improving the quality of remote sensing images using a universal reconstruction method (2008) (0)
- Title A total variation regularization based super-resolutionreconstruction algorithm for digital video (2010) (0)
- Development and Validation of Low-Cost IoT Environmental Sensors: A Case Study in Wuhan, China (2023) (0)
- Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images (2023) (0)
- Enhanced Residual Dense Network Joint with GRUS for Multispectral and Hyperspectral Image Fusion (2021) (0)
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations (2023) (0)
- Impact of Urban Spatial Form on Daytime Land Surface Temperature in Communities of Wuhan (2019) (0)
- Generation of SMAP 9 KM soil moisture using a spatio-temporal information fusion model (2017) (0)
- Lunar Hyperspectral Image Destriping Method Using Low-Rank Matrix Recovery and Guided Profile (2020) (0)
- Cloud-covered MODIS LST reconstruction by combining assimilation data and remote sensing data through a nonlocality-reinforced network (2023) (0)
- Refined PolSAR anisotropic diffusion filter coupling with adaptive data-fitting term (2015) (0)
- Spectral super-resolution meets deep learning: Achievements and challenges (2023) (0)
- Improving Soil Moisture and Temperature Profile and Surface Turbulent Fluxes Estimations in Irrigated Field by Assimilating Multi-source Data into Land Surface Model (2016) (0)
- 地球表层特征参量反演与模拟的机理-学习耦合范式 (2022) (0)
- A land cover adaptive topographic correction and evaluation method for remote sensing data (2015) (0)
- Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades (2021) (0)
- A Fast Globally Optimal Seamline Detection Method for High-Resolution Remote Sensing Images (2023) (0)
- Cross-sensor remote sensing imagery super-resolution via an edge-guided attention-based network (2023) (0)
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