Bo Du
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Engineering Computer Science
Bo Du's Degrees
- PhD Computer Science Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering Tsinghua University
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(Suggest an Edit or Addition)Bo Du'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
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art (2016) (1404)
- Saliency-Guided Unsupervised Feature Learning for Scene Classification (2015) (434)
- Scene Classification via a Gradient Boosting Random Convolutional Network Framework (2016) (358)
- Stacked Convolutional Denoising Auto-Encoders for Feature Representation (2017) (321)
- Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding (2015) (274)
- Unsupervised Domain Adaptive Re-Identification: Theory and Practice (2018) (269)
- A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection (2016) (254)
- Random-Selection-Based Anomaly Detector for Hyperspectral Imagery (2011) (249)
- A Discriminative Metric Learning Based Anomaly Detection Method (2014) (246)
- Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image (2019) (213)
- Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images (2019) (203)
- Spectral–Spatial Unified Networks for Hyperspectral Image Classification (2018) (202)
- Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection (2016) (194)
- Slow Feature Analysis for Change Detection in Multispectral Imagery (2014) (185)
- Recurrent Feature Reasoning for Image Inpainting (2020) (181)
- Hyperspectral image unsupervised classification by robust manifold matrix factorization (2019) (170)
- Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification (2020) (168)
- Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images (2018) (159)
- Deeply-supervised CNN for prostate segmentation (2017) (158)
- Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning (2014) (154)
- Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China (2011) (151)
- A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion (2017) (150)
- A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images (2015) (147)
- Target detection based on a dynamic subspace (2014) (146)
- Exploring Representativeness and Informativeness for Active Learning (2019) (146)
- Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest (2019) (135)
- Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification (2020) (132)
- PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images (2017) (132)
- An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral Unmixing (2013) (129)
- Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery Classification (2015) (128)
- Hyperspectral image classification via a random patches network (2018) (125)
- Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images (2016) (119)
- Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation (2019) (115)
- A Subspace-Based Change Detection Method for Hyperspectral Images (2013) (112)
- Compression of hyperspectral remote sensing images by tensor approach (2015) (108)
- Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning (2017) (107)
- Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network (2020) (106)
- Fast Spatio-Temporal Residual Network for Video Super-Resolution (2019) (97)
- Domain Adaptation With Neural Embedding Matching (2020) (96)
- Target Detection Based on Random Forest Metric Learning (2015) (96)
- A Robust Nonlinear Hyperspectral Anomaly Detection Approach (2014) (93)
- A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification (2017) (91)
- Hybrid Detectors Based on Selective Endmembers (2010) (86)
- Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion (2019) (86)
- Kernel Slow Feature Analysis for Scene Change Detection (2017) (85)
- Progressive Reconstruction of Visual Structure for Image Inpainting (2019) (83)
- Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection (2017) (81)
- Global context based automatic road segmentation via dilated convolutional neural network (2020) (80)
- Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification (2020) (76)
- Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion (2017) (76)
- An unsupervised parameter learning model for RVFL neural network (2019) (76)
- A spectral-spatial based local summation anomaly detection method for hyperspectral images (2016) (74)
- MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting (2019) (70)
- Unsupervised transfer learning for target detection from hyperspectral images (2013) (70)
- Hyperspectral Anomaly Detection via a Sparsity Score Estimation Framework (2017) (70)
- Multistage GAN for Fabric Defect Detection (2019) (68)
- A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification (2017) (67)
- A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target Detection (2013) (64)
- Iterative Reweighting Heterogeneous Transfer Learning Framework for Supervised Remote Sensing Image Classification (2017) (63)
- TextFuseNet: Scene Text Detection with Richer Fused Features (2020) (62)
- Spatial Coherence-Based Batch-Mode Active Learning for Remote Sensing Image Classification (2015) (60)
- Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image Classification (2013) (59)
- An Improved Quantum-Behaved Particle Swarm Optimization for Endmember Extraction (2019) (58)
- Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification (2022) (56)
- Nonlocal Low-Rank Tensor Completion for Visual Data (2019) (56)
- Automatic Radiometric Normalization for Multitemporal Remote Sensing Imagery With Iterative Slow Feature Analysis (2014) (54)
- A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral Classification (2012) (54)
- Domain Adaptation for Remote Sensing Image Classification: A Low-Rank Reconstruction and Instance Weighting Label Propagation Inspired Algorithm (2015) (53)
- Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images (2021) (52)
- Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation (2019) (52)
- Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses (2021) (49)
- An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral Information (2015) (46)
- Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect (2018) (46)
- Spectral–Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification (2020) (44)
- Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification (2021) (44)
- BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images (2018) (44)
- Object Tracking in Satellite Videos Based on a Multiframe Optical Flow Tracker (2018) (44)
- Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification (2021) (43)
- Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images (2021) (43)
- Hierarchical feature learning with dropout k-means for hyperspectral image classification (2016) (42)
- Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network (2019) (41)
- An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing (2015) (41)
- Semi-Supervised Multi-View Deep Discriminant Representation Learning (2020) (41)
- Unsupervised-Restricted Deconvolutional Neural Network for Very High Resolution Remote-Sensing Image Classification (2017) (40)
- Adaptive Manifold Regularized Matrix Factorization for Data Clustering (2017) (38)
- Tracking Objects From Satellite Videos: A Velocity Feature Based Correlation Filter (2019) (38)
- Reinforced Transformer for Medical Image Captioning (2019) (36)
- Target Dictionary Construction-Based Sparse Representation Hyperspectral Target Detection Methods (2019) (36)
- A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection (2015) (36)
- A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification (2016) (35)
- Joint weighted nuclear norm and total variation regularization for hyperspectral image denoising (2018) (34)
- Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images (2019) (34)
- Hyperspectral anomalous change detection based on joint sparse representation (2018) (32)
- Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification (2019) (32)
- Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction Methods (2014) (32)
- Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint (2016) (31)
- Hyperspectral Target Detection via Adaptive Information - Theoretic Metric Learning with Local Constraints (2018) (31)
- Self-supervised Training of Graph Convolutional Networks (2020) (30)
- Combining local and global: Rich and robust feature pooling for visual recognition (2017) (30)
- Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning (2021) (30)
- Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF (2016) (29)
- A Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization Algorithm for Hyperspectral Endmember Extraction (2017) (29)
- Hyperspectral anomaly change detection with slow feature analysis (2015) (29)
- Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniques (2011) (29)
- A hypothesis independent subpixel target detector for hyperspectral Images (2015) (28)
- Multi-Temporal Scene Classification and Scene Change Detection With Correlation Based Fusion (2020) (27)
- GPU Parallel Implementation of Isometric Mapping for Hyperspectral Classification (2017) (27)
- Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video (2019) (27)
- Landslide spatial susceptibility mapping by using GIS and remote sensing techniques: a case study in Zigui County, the Three Georges reservoir, China (2015) (27)
- Unsupervised Scene Change Detection via Latent Dirichlet Allocation and Multivariate Alteration Detection (2018) (27)
- Recent advances in hyperspectral image processing (2012) (27)
- Robust Dual Clustering with Adaptive Manifold Regularization (2017) (26)
- A Novel Endmember Extraction Method for Hyperspectral Imagery Based on Quantum-Behaved Particle Swarm Optimization (2017) (26)
- Maximum margin metric learning based target detection for hyperspectral images (2015) (26)
- A Poisson nonnegative matrix factorization method with parameter subspace clustering constraint for endmember extraction in hyperspectral imagery (2017) (25)
- Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks (2020) (24)
- Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing (2018) (24)
- A sparse and discriminative tensor to vector projection for human gait feature representation (2015) (24)
- Spatially Adaptive Sparse Representation for Target Detection in Hyperspectral Images (2017) (23)
- Robust face alignment by cascaded regression and de-occlusion (2019) (23)
- Learning From Synthetic Images via Active Pseudo-Labeling (2020) (22)
- Regularization Framework for Target Detection in Hyperspectral Imagery (2014) (22)
- Two-Stream Convolutional Networks for Hyperspectral Target Detection (2021) (22)
- SemiText: Scene text detection with semi-supervised learning (2020) (22)
- Binary-Class Collaborative Representation for Target Detection in Hyperspectral Images (2019) (21)
- A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery (2022) (21)
- Shape prior constrained PSO model for bladder wall MRI segmentation (2017) (21)
- Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach (2016) (21)
- Fully Contextual Network for Hyperspectral Scene Parsing (2021) (21)
- Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection (2019) (21)
- Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information (2017) (20)
- HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking (2021) (20)
- An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral Imagery (2014) (20)
- Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction (2017) (19)
- Homologous Component Analysis for Domain Adaptation (2020) (19)
- An Improved Multiobjective Discrete Particle Swarm Optimization for Hyperspectral Endmember Extraction (2019) (19)
- A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection (2020) (18)
- Defect Detection from UAV Images Based on Region-Based CNNs (2018) (18)
- Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment (2021) (18)
- Robust learning with imperfect privileged information (2020) (18)
- Beyond Background Feature Extraction: An Anomaly Detection Algorithm Inspired by Slowly Varying Signal Analysis (2016) (18)
- Hyperspectral Anomaly Change Detection Based on Autoencoder (2020) (18)
- A robust background regression based score estimation algorithm for hyperspectral anomaly detection (2016) (18)
- On Combining Social Media and Spatial Technology for POI Cognition and Image Localization (2017) (18)
- Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect (2017) (17)
- A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection (2020) (17)
- A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error (2019) (17)
- IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection (2017) (17)
- Enhanced Multiscale Feature Fusion Network for HSI Classification (2021) (17)
- A Bandwise Noise Model Combined With Low-Rank Matrix Factorization for Hyperspectral Image Denoising (2018) (17)
- Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery (2011) (16)
- Multi-Task Learning for Blind Source Separation (2018) (15)
- Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model (2022) (15)
- A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets (2018) (15)
- ASTS: A Unified Framework for Arbitrary Shape Text Spotting (2020) (15)
- Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling (2016) (14)
- On combining active and transfer learning for medical data classification (2018) (14)
- Multi-hop Convolutions on Weighted Graphs (2019) (14)
- A robust dimensionality reduction and matrix factorization framework for data clustering (2019) (14)
- Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, China (2014) (13)
- On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification (2019) (13)
- Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection (2017) (13)
- Hyperspectral Imagery Classification via Stochastic HHSVMs (2019) (13)
- Can We Generate Good Samples for Hyperspectral Classification? — A Generative Adversarial Network Based Method (2018) (13)
- Leveraging Ratings and Reviews with Gating Mechanism for Recommendation (2019) (13)
- Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning (2019) (12)
- A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability (2019) (12)
- ANSGA-III: A Multiobjective Endmember Extraction Algorithm for Hyperspectral Images (2019) (12)
- Spatial-spectral weighted nuclear norm minimization for hyperspectral image denoising (2020) (12)
- Multidomain Subspace Classification for Hyperspectral Images (2016) (12)
- Social Trust Network Embedding (2019) (12)
- Image denoising based on learning over-complete dictionary (2012) (11)
- A Background Self-Learning Framework for Unstructured Target Detectors (2013) (11)
- Learning Visual Words for Weakly-Supervised Semantic Segmentation (2021) (11)
- Attention-Based Multiscale Residual Adaptation Network for Cross-Scene Classification (2021) (11)
- Multiobjective Optimized Endmember Extraction for Hyperspectral Image (2017) (10)
- Iterative Privileged Learning (2020) (10)
- Hyperspectral image target detection via integrated background suppression with adaptive weight selection (2018) (10)
- Percentage of Vegetation Cover Change Monitoring in Wuhan Region Based on Remote Sensing (2011) (10)
- LAM3L: Locally adaptive maximum margin metric learning for visual data classification (2017) (10)
- Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks (2019) (10)
- MMFE: Multitask Multiview Feature Embedding (2015) (9)
- An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images (2020) (9)
- Endmember Extraction From Highly Mixed Data Using Linear Mixture Model Constrained Particle Swarm Optimization (2019) (9)
- TLR: Transfer Latent Representation for Unsupervised Domain Adaptation (2018) (9)
- Temporal Network Embedding with High-Order Nonlinear Information (2020) (9)
- Matrix completion with Preference Ranking for Top-N Recommendation (2018) (8)
- Targeted change detection for stacked multi-temporal hyperspectral image (2012) (8)
- Real-time tracking based on weighted compressive tracking and a cognitive memory model (2017) (8)
- VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking (2018) (8)
- An image-based endmember bundle extraction algorithm using reconstruction error for hyperspectral imagery (2016) (8)
- A K-L divergence constrained sparse NMF for hyperspectral signal unmixing (2014) (8)
- Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images (2021) (7)
- Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization (2020) (7)
- Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection (2021) (7)
- Single-Spectrum-Driven Binary-Class Sparse Representation Target Detector for Hyperspectral Imagery (2021) (7)
- Multiview clustering based on Robust and Regularized Matrix Approximation (2016) (7)
- R-SVM+: Robust Learning with Privileged Information (2018) (7)
- Hyperspectral Anomaly Detection Based on Machine Learning: An Overview (2022) (6)
- RNN-based signal classification for hybrid audio data compression (2019) (6)
- Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis (2018) (6)
- Hyperspectral biological images compression based on multiway tensor projection (2014) (6)
- Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System (2020) (6)
- Semantic Change Detection with Asymmetric Siamese Networks (2020) (6)
- A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data (2017) (5)
- Compressed Self-Attention for Deep Metric Learning (2020) (5)
- Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection (2022) (5)
- A spectral dissimilarity constrained nonnegative matrix factorization based cancer screening algorithm from hyperspectral fluorescence images (2012) (5)
- Denoising auto-encoders toward robust unsupervised feature representation (2016) (5)
- Robust Self-Ensembling Network for Hyperspectral Image Classification (2021) (5)
- Scene Change Detection VIA Deep Convolution Canonical Correlation Analysis Neural Network (2019) (5)
- Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification (2019) (5)
- DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection (2020) (5)
- A sparse self-representation method for band selection in hyperspectral imagery classification (2015) (5)
- A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification (2017) (5)
- A Low-Rank Tensor Decomposition Based Hyperspectral Image Compression Algorithm (2016) (5)
- LogDet Metric-Based Domain Adaptation (2020) (5)
- Unified Multi-scale Feature Abstraction for Medical Image Segmentation (2019) (5)
- PASiam: Predicting Attention Inspired Siamese Network, for Space-Borne Satellite Video Tracking (2019) (5)
- Slow feature analysis for hyperspectral change detection (2014) (4)
- On Gleaning Knowledge from Multiple Domains for Active Learning (2017) (4)
- Self-Ensembling GAN for Cross-Domain Semantic Segmentation (2021) (4)
- A manifold learning based feature extraction method for hyperspectral classification (2012) (4)
- Adversarial strategy for transductive zero-shot learning (2021) (4)
- Independent Feature and Label Components for Multi-label Classification (2018) (4)
- Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations (2021) (4)
- Density Map-based vehicle counting in remote sensing images with limited resolution (2022) (4)
- FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning (2021) (4)
- Sparse tensor discriminative locality alignment for gait recognition (2016) (4)
- Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure (2019) (4)
- Hyperspectral image classification based on multi-scale information compensation (2020) (4)
- The linear mixed model constrained particle swarm optimization for hyperspectral endmember extraction from highly mixed data (2016) (4)
- Pseudo Supervised Matrix Factorization in Discriminative Subspace (2019) (4)
- Deep Canonical Correlation Analysis Network for Scene Change Detection of Multi-Temporal VHR Imagery (2019) (4)
- Adversarial Prototype Learning for Hyperspectral Image Classification (2021) (4)
- Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation (2020) (3)
- Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network (2019) (3)
- A Study for Hyperspectral Anomaly Change Detection on “Viareggio 2013 Trial” Dataset (2019) (3)
- EDLAD: An Encoder-Decoder Long Short-Term Memory Network-Based Anomaly Detector for Hyperspectral Images (2021) (3)
- Multiobjective endmember extraction for hyperspectral image (2017) (3)
- A robust DCT domain watermarking algorithm based on chaos system (2009) (3)
- Learning to reweight examples in multi-label classification (2021) (3)
- Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions (2022) (3)
- An endmember dissimilarity based Non-negative Matrix Factorization method for hyperspectral unmixing (2012) (3)
- Positive Unlabeled Learning with Class-prior Approximation (2020) (3)
- Bi-adapting kernel learning for unsupervised domain adaptation (2020) (3)
- GSEAD: Graphical score estimation for hyperspectral anomaly detection (2016) (3)
- Feature extraction using near-isometric linear embeddings for hyperspectral imagery classification (2016) (3)
- LocalDrop: A Hybrid Regularization for Deep Neural Networks (2021) (3)
- A Low-Rank Total-Variation Regularized Tensor Completion Algorithm (2017) (2)
- An Unsupervised Domain Adaptation Algorithm Based on Canonical Correlation Analysis (2017) (2)
- Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification (2022) (2)
- Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation (2021) (2)
- A structured sub-pixel target detection method base on manifold learning method (2011) (2)
- From center to surrounding: An interactive learning framework for hyperspectral image classification (2023) (2)
- Edge-Learning-Enabled Realistic Touch and Stable Communication for Remote Haptic Display (2021) (2)
- Binary Change Guided Hyperspectral Multiclass Change Detection (2021) (2)
- A quantum-behaved particle swarm optimization for hyperspectral endmember extraction (2016) (2)
- Adversarial Fine-Grained Adaptation Network for Cross-Scene Classification (2021) (2)
- An novel active learning strategy for hyperspectral image classification (2012) (2)
- R2FP: Rich and Robust Feature Pooling for Mining Visual Data (2015) (2)
- A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery (2020) (2)
- How to Construct a Deep Network-Based Hyperspectral Target Detector? ‐‐‐‐‐ A LSTM Inspired Method (2021) (2)
- A local subspace based nonlinear target detector (2012) (2)
- Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images (2020) (2)
- Dynamic Analysis of Vegetation Coverage Change in Miyun Reservoir Basin from 2000 to 2005 Based on Remote Sensing (2010) (2)
- Parallel discriminative subspace for city target detection from high dimension images (2020) (1)
- Multi-Priori Learning Algorithm for Hyperspectral Target Detection (2018) (1)
- Stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition (2017) (1)
- Spatial-Spectral Joint Reconstruction with Inter-band Correlation for Hyperspectral Anomaly Detection (2022) (1)
- Multi-class active learning: A hybrid informative and representative criterion inspired approach (2017) (1)
- An Automatic Relative Radiometric Correction Method Based on Slow Feature Analysis (2013) (1)
- Automatically Adjustable Multi-Scale Feature Extraction Framework for Hyperspectral Image Classification (2021) (1)
- Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection. (2023) (1)
- Self-Paced Subspace Clustering (2019) (1)
- Building Extraction From Remote Sensing Image With Privileged Information (2019) (1)
- Dual-Regularization Complementary Learning for Image Classification (2021) (1)
- Correction to "Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images" (2021) (1)
- Sparsity Score Estimation for Hyperspectral Anomaly Detection (2016) (1)
- On Combining Compressed Sensing and Sparse Representations for Object Tracking (2016) (1)
- Local decision maximum margin metric learning for hyperspectral target detection (2015) (1)
- Automatic 3D Medical Image Segmentation with Densely-Connected Volumetric ConvNets (2019) (1)
- Hyperspectral Medical Images Unmixing for Cancer Screening Based on Rotational Independent Component Analysis (2013) (1)
- Towards a real-time production of immersive spatial audio of high individuality with an RBF neural network (2019) (1)
- OASIS: One-pass aligned Atlas Set for Image Segmentation (2019) (0)
- Endmember number estimation for hyperspectral imagery based on vertex component analysis (2014) (0)
- An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea (2023) (0)
- An endmember extraction framework based on abundance constraint (2012) (0)
- HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search (2023) (0)
- Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection. (2023) (0)
- Robust Metric based Anomaly Detection in Kernel Feature Space (2012) (0)
- Segmentation Networks Domain Adaptation A real image ( a ) Without adaptation ( b ) With adaptation Real images without annotations Synthetic images with annotations ... ... ? ? (2018) (0)
- Batch Mode Active Learning for Geographical Image Classification (2015) (0)
- 基于类别可分性的高光谱图像波段选择 (Supervised Band Selection Based on Class Separability for Hyperspectral Image) (2015) (0)
- A method for object identification in multispectral image based on tensor approach (2012) (0)
- Centroid-centered Modeling for Efficient Vision Transformer Pre-training (2023) (0)
- Probabilistic Graph Embedding for Unsupervised Domain Adaptation (2018) (0)
- SISTOR: A statistics-inspired sparsity target detector for hyperspectral images (2015) (0)
- Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification. (2021) (0)
- Conference Title Percentage of Vegetation Cover Change Monitoring in Wuhan Region Based on Remote Sensing (2012) (0)
- SAR Image Compression Based on Multi-Resblock and Global Context (2023) (0)
- Unified active and semi-supervised learning for hyperspectral image classification (2021) (0)
- Dilated Convolution Layers U-Net Generator Conv Feature DeConv Feature Attention Feature DenseNet Discriminator VGG 16 Feature Extrator L 1 Loss Adversarial Loss Perceptual Loss Style Loss Skip Connections (2019) (0)
- BRAD: Background regression based hyperspectral anomaly detection, a k-nn score estimation aspect (2016) (0)
- An improved method to detect remote sensing image targets captured by sensor network (2011) (0)
- Object Tracking for Satellite Video based on Kernelized Correlation Filters and Three Frame Difference (2017) (0)
- A Structured Sub-pixel Target Detector for Hyperspectral Imagery (2009) (0)
- The multi-source remote sensing data integration and fusion to recognize uninhabited islands (2009) (0)
- 一种基于背景自学习的高光谱图像生物信息提取方法 (Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images) (2015) (0)
- DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification (2023) (0)
- Spatial correlated information based batch mode active learning method for remote sensing image classification (2013) (0)
- Matrix Completion with Noise via Leveraged Sampling (2020) (0)
- Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification (2021) (0)
- Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model (2023) (0)
- Can Spectral Information Work While Extracting Spatial Distribution?—An Online Spectral Information Compensation Network for HSI Classification (2023) (0)
- Multi-subband and Multi-subepoch Time Series Feature Learning for EEG-based Sleep Stage Classification (2021) (0)
- Endmember extraction analysis considering endmember variability (2013) (0)
- Discriminant Spatial-Spectral Hypergraph Learning for Hyperspectral Image Classification (2018) (0)
- A spatial filter based framework for target detection in hyperspectral imagery (2013) (0)
- Sub-pixel mapping using Fuzzy ARTMAP neural network with fused remote sensed images (2009) (0)
- IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments (2019) (0)
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