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ORCIDKe Wu 0004
Person information
- affiliation: China University of Geosciences, School of Geophysics and Geomatics, Wuhan, Hubei, China
- affiliation: Chinese Academy of Sciences (CAS), Aerospace Information Research Institute, Beijing, China
- affiliation (PhD 2008): Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, China
Other persons with the same name
- Ke Wu — disambiguation page
- Ke Wu 0001
![[0000-0002-2756-8750]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2756-8750")
— Carnegie Mellon University, Pittsburgh, PA, USA - Ke Wu 0002 — Yellow River Conservancy Technical University, School of Surveying and Mapping Engineering, Kaifeng, China (and 1 more)
- Ke Wu 0003 — National University of Defense Technology, College of Computer, Changsha, China
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2020 – today
- 2025
[j28]Suyi Li, Ke Wu, Huize Liu, Dandan Zhou, Ying Xu:
Hyperspectral Image Classification Based on Multiscale Feature Search Graph Convolutional Network With Meta Pseudolabels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 23485-23504 (2025)- 2024
- [j27]Ke Wu, Yanting Zhan, Ying An, Suyi Li:
Multiscale Feature Search-Based Graph Convolutional Network for Hyperspectral Image Classification. Remote. Sens. 16(13): 2328 (2024) - [j26]Ke Wu, Fan Yang, Huize Liu, Ying Xu:
Detection of Coral Reef Bleaching by Multitemporal Sentinel-2 Data Using the PU-Bagging Algorithm: A Feasibility Study at Lizard Island. Remote. Sens. 16(13): 2473 (2024) - [j25]Huize Liu, Ke Wu, Dandan Zhou, Ying Xu:
A Novel Sample Generation Method for Deep Learning Lithological Mapping with Airborne TASI Hyperspectral Data in Northern Liuyuan, Gansu, China. Remote. Sens. 16(15): 2852 (2024) - [j24]Junfei Zhong, Ke Wu, Ying Xu:
Deep Spatial Feedback Refined Network With Multilevel Feature Fusion for Hyperspectral Image Subpixel Mapping. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - 2023
- [j23]Wenjie Tang, Ke Wu, Yuxiang Zhang, Yanting Zhan:
A Siamese Network Based on Multiple Attention and Multilayer Transformers for Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j22]Haishan Li, Ke Wu, Ying Xu:
An Integrated Change Detection Method Based on Spectral Unmixing and the CNN for Hyperspectral Imagery. Remote. Sens. 14(11): 2523 (2022) - [j21]Yanting Zhan, Ke Wu, Yanni Dong:
Enhanced Spectral-Spatial Residual Attention Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7171-7186 (2022) - 2021
- [j20]Ke Wu, Tao Chen, Ying Xu, Dongwei Song, Haishan Li:
A Novel Change Detection Approach Based on Spectral Unmixing from Stacked Multitemporal Remote Sensing Images with a Variability of Endmembers. Remote. Sens. 13(13): 2550 (2021) - [j19]Huize Liu, Ke Wu, Honggen Xu, Ying Xu:
Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks. Remote. Sens. 13(16): 3117 (2021) - [j18]Yuxiang Zhang, Yanni Dong, Ke Wu, Tao Chen:
Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9079-9088 (2021) - 2020
- [j17]Yuxiang Zhang, Kang Liu, Yanni Dong, Ke Wu, Xiangyun Hu:
Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 17(8): 1440-1444 (2020) - [c5]Yuxiang Zhang, Kai He, Yanni Dong, Ke Wu, Tao Chen:
Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection. IGARSS 2020: 2424-2427
2010 – 2019
- 2019
- [j16]Yetao Yang, Ke Wu, Yi Wang, Tao Chen, Xiang Wang:
Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas. Sensors 19(21): 4685 (2019) - [j15]Yuxiang Zhang, Ke Wu, Bo Du, Xiangyun Hu:
Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2135-2147 (2019) - 2018
- [j14]Ke Wu, Xiaoxiao Feng, Honggen Xu, Yuxiang Zhang:
A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery. IEEE Access 6: 75206-75215 (2018) - [j13]Ke Wu, Guang Xu, Yuxiang Zhang, Bo Du:
Hyperspectral image target detection via integrated background suppression with adaptive weight selection. Neurocomputing 315: 59-67 (2018) - [c4]Yuxiang Zhang, Mingming Xu, Bo Du, Ke Wu, Xiangyun Hu, Yanni Dong:
Multi-Priori Learning Algorithm for Hyperspectral Target Detection. IGARSS 2018: 2757-2760 - 2017
- [j12]Ke Wu, Qian Du, Xiangyun Hu, Xianmin Wang:
Sub-Pixel Mapping Based on MAP Model and Spatial Attraction Theory for Remotely Sensed Image. IEEE Access 5: 25126-25132 (2017) - [j11]Ke Wu, Qian Du:
Subpixel Change Detection of Multitemporal Remote Sensed Images Using Variability of Endmembers. IEEE Geosci. Remote. Sens. Lett. 14(6): 796-800 (2017) - [j10]Ke Wu, Yanfei Zhong, Xianmin Wang, Weiwei Sun:
A Novel Approach to Subpixel Land-Cover Change Detection Based on a Supervised Back-Propagation Neural Network for Remotely Sensed Images With Different Resolutions. IEEE Geosci. Remote. Sens. Lett. 14(10): 1750-1754 (2017) - [j9]Yuxiang Zhang, Ke Wu, Bo Du, Xiangyun Hu:
Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection. IEEE Geosci. Remote. Sens. Lett. 14(11): 1933-1937 (2017) - [j8]Ke Wu, Qian Du, Yi Wang, Yetao Yang:
Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions. Remote. Sens. 9(3): 284 (2017) - [j7]Yuxiang Zhang, Ke Wu, Bo Du, Liangpei Zhang, Xiangyun Hu:
Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information. Remote. Sens. 9(5): 482 (2017) - 2016
- [j6]Yetao Yang, Yi Wang, Ke Wu, Xin Yu:
Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City. Remote. Sens. 8(4): 304 (2016) - [j5]Ke Wu, Dong Zhao, Yanfei Zhong, Qian Du:
Multi-Probe Based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery. Remote. Sens. 8(8): 645 (2016) - [j4]Ke Wu, Lifei Wei, Xianmin Wang, Ruiqing Niu:
Adaptive pixel unmixing based on a fuzzy ARTMAP neural network with selective endmembers. Soft Comput. 20(12): 4723-4732 (2016) - [c3]Ke Wu, Qian Du:
Sub-pixel mapping of remotely sensed imagery based on maximum a posteriori estimation and fuzzy ARTMAP neural network. WHISPERS 2016: 1-5 - 2015
- [j3]Yi Wang, Ke Wu, Yetao Yang, Tao Chen:
Gradient and Laplacian-Based Hyperspectral Anisotropic Diffusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3235-3249 (2015) - [c2]Yi Wang, Ke Wu, Tao Chen:
A gradient and Laplacian based reaction-diffusion filter for hyperspectral image denosing. WHISPERS 2015: 1-4 - [c1]Ke Wu, Yue Ma, Liangpei Zhang:
Sub-pixel land-cover change detection based on pixel unmixing and EM algorithm. WHISPERS 2015: 1-4 - 2011
- [j2]Yi Wang, Ruiqing Niu, Liangpei Zhang, Ke Wu, Hichem Sahli:
A scale-based forward-and-backward diffusion process for adaptive image enhancement and denoising. EURASIP J. Adv. Signal Process. 2011: 22 (2011)
2000 – 2009
- 2008
- [j1]Liangpei Zhang, Ke Wu, Yanfei Zhong, Pingxiang Li:
A new sub-pixel mapping algorithm based on a BP neural network with an observation model. Neurocomputing 71(10-12): 2046-2054 (2008)
Coauthor Index
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