A new sub-pixel mapping algorithm based on a BP neural network with an observation model. - Liangpei Zhang 001; Ke Wu 004; Yanfei Zhong; Pingxiang Li (Neurocomputing, 2008)

A scale-based forward-and-backward diffusion process for adaptive image enhancement and denoising. - Yi Wang 021; Ruiqing Niu; Liangpei Zhang 001; Ke Wu 004; Hichem Sahli (EURASIP J. Adv. Signal Process., 2011)

A gradient and Laplacian based reaction-diffusion filter for hyperspectral image denosing. - Yi Wang 021; Ke Wu 004; Tao Chen 004 (WHISPERS, 2015)

Sub-pixel land-cover change detection based on pixel unmixing and EM algorithm. - Ke Wu 004; Yue Ma; Liangpei Zhang 001 (WHISPERS, 2015)

Gradient and Laplacian-Based Hyperspectral Anisotropic Diffusion. - Yi Wang 021; Ke Wu 004; Yetao Yang; Tao Chen 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Sub-pixel mapping of remotely sensed imagery based on maximum a posteriori estimation and fuzzy ARTMAP neural network. - Ke Wu 004; Qian Du 001 (WHISPERS, 2016)

Multi-Probe Based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery. - Ke Wu 004; Dong Zhao; Yanfei Zhong; Qian Du 001 (Remote. Sens., 2016)

Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City. - Yetao Yang; Yi Wang 021; Ke Wu 004; Xin Yu (Remote. Sens., 2016)

Adaptive pixel unmixing based on a fuzzy ARTMAP neural network with selective endmembers. - Ke Wu 004; Lifei Wei; Xianmin Wang; Ruiqing Niu (Soft Comput., 2016)

Sub-Pixel Mapping Based on MAP Model and Spatial Attraction Theory for Remotely Sensed Image. - Ke Wu 004; Qian Du 001; Xiangyun Hu; Xianmin Wang (IEEE Access, 2017)

Subpixel Change Detection of Multitemporal Remote Sensed Images Using Variability of Endmembers. - Ke Wu 004; Qian Du 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

A Novel Approach to Subpixel Land-Cover Change Detection Based on a Supervised Back-Propagation Neural Network for Remotely Sensed Images With Different Resolutions. - Ke Wu 004; Yanfei Zhong; Xianmin Wang; Weiwei Sun 005 (IEEE Geosci. Remote. Sens. Lett., 2017)

Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Xiangyun Hu (IEEE Geosci. Remote. Sens. Lett., 2017)

Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions. - Ke Wu 004; Qian Du 001; Yi Wang 021; Yetao Yang (Remote. Sens., 2017)

Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Liangpei Zhang 001; Xiangyun Hu (Remote. Sens., 2017)

Multi-Priori Learning Algorithm for Hyperspectral Target Detection. - Yuxiang Zhang 001; Mingming Xu; Bo Du 001; Ke Wu 004; Xiangyun Hu; Yanni Dong (IGARSS, 2018)

A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery. - Ke Wu 004; Xiaoxiao Feng; Honggen Xu; Yuxiang Zhang 001 (IEEE Access, 2018)

Hyperspectral image target detection via integrated background suppression with adaptive weight selection. - Ke Wu 004; Guang Xu; Yuxiang Zhang 001; Bo Du 001 (Neurocomputing, 2018)

Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas. - Yetao Yang; Ke Wu 004; Yi Wang 021; Tao Chen 004; Xiang Wang (Sensors, 2019)

Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection. - Yuxiang Zhang 001; Ke Wu 004; Bo Du 001; Xiangyun Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection. - Yuxiang Zhang 001; Kai He; Yanni Dong; Ke Wu 004; Tao Chen 004 (IGARSS, 2020)

Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image. - Yuxiang Zhang 001; Kang Liu; Yanni Dong; Ke Wu 004; Xiangyun Hu (IEEE Geosci. Remote. Sens. Lett., 2020)

Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks. - Huize Liu; Ke Wu 004; Honggen Xu; Ying Xu (Remote. Sens., 2021)

A Novel Change Detection Approach Based on Spectral Unmixing from Stacked Multitemporal Remote Sensing Images with a Variability of Endmembers. - Ke Wu 004; Tao Chen 004; Ying Xu; Dongwei Song; Haishan Li (Remote. Sens., 2021)

Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest. - Yuxiang Zhang 001; Yanni Dong; Ke Wu 004; Tao Chen 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An Integrated Change Detection Method Based on Spectral Unmixing and the CNN for Hyperspectral Imagery. - Haishan Li; Ke Wu 004; Ying Xu (Remote. Sens., 2022)

Enhanced Spectral-Spatial Residual Attention Network for Hyperspectral Image Classification. - Yanting Zhan; Ke Wu 004; Yanni Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Siamese Network Based on Multiple Attention and Multilayer Transformers for Change Detection. - Wenjie Tang; Ke Wu 004; Yuxiang Zhang 001; Yanting Zhan (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Spatial Feedback Refined Network With Multilevel Feature Fusion for Hyperspectral Image Subpixel Mapping. - Junfei Zhong; Ke Wu 004; Ying Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

Detection of Coral Reef Bleaching by Multitemporal Sentinel-2 Data Using the PU-Bagging Algorithm: A Feasibility Study at Lizard Island. - Ke Wu 004; Fan Yang; Huize Liu; Ying Xu (Remote. Sens., 2024)

Multiscale Feature Search-Based Graph Convolutional Network for Hyperspectral Image Classification. - Ke Wu 004; Yanting Zhan; Ying An; Suyi Li 006 (Remote. Sens., 2024)

A Novel Sample Generation Method for Deep Learning Lithological Mapping with Airborne TASI Hyperspectral Data in Northern Liuyuan, Gansu, China. - Huize Liu; Ke Wu 004; Dandan Zhou; Ying Xu (Remote. Sens., 2024)