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Fengchao Xiong
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2020 – today
- 2024
- [j29]Fengchao Xiong, Tianhan Li, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3366-3378 (2024) - [j28]Di Hu, Xia Yuan, Huiying Xi, Jie Li, Zhenbo Song, Fengchao Xiong, Kai Zhang, Chunxia Zhao:
Road Structure Inspired UGV-Satellite Cross-View Geo-Localization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16767-16786 (2024) - [j27]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou:
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j26]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian:
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j25]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian:
Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j24]Fengchao Xiong, Tianhan Li, Yi Yang, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Wavelet Siamese Network With Semi-Supervised Domain Adaptation for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j23]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j22]Minchao Ye, Jiawei Ling, Wanli Huo, Zhaojuan Zhang, Fengchao Xiong, Yuntao Qian:
Discriminative Vision Transformer for Heterogeneous Cross-Domain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j21]Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian:
Iterative Low-Rank Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c23]Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian:
Semantic-Aware Alignment Network for Cross-Resolution Change Detection. IGARSS 2024: 8594-8598 - [i5]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian:
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. CoRR abs/2401.03885 (2024) - [i4]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. CoRR abs/2405.01726 (2024) - 2023
- [j20]Jun Zhou, Fengchao Xiong, Lei Tong, Naoto Yokoya, Pedram Ghamisi:
Guest Editorial: Spectral imaging powered computer vision. IET Comput. Vis. 17(7): 723-725 (2023) - [j19]Minchao Ye, Chenglong Wang, Zhihao Meng, Fengchao Xiong, Yuntao Qian:
Domain-invariant attention network for transfer learning between cross-scene hyperspectral images. IET Comput. Vis. 17(7): 739-749 (2023) - [j18]Shou Feng, Rui Feng, Jianfei Liu, Chunhui Zhao, Fengchao Xiong, Lifu Zhang:
An Attention-Based Multiscale Spectral-Spatial Network for Hyperspectral Target Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j17]Zhuang Zhao, Jiutao Mu, Hui Xie, Fengchao Xiong, Jun Lu, Jing Han:
Rapid coded aperture spectrometer based on energy concentration characteristic. Signal Process. 209: 109001 (2023) - [j16]Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j15]Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian:
Deep Parameterized Neural Networks for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j14]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. IEEE Trans. Image Process. 32: 2901-2914 (2023) - [c22]Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian:
Iterative Refinement Network for Hyperspectral Image Denoising. ICME 2023: 2753-2758 - [c21]Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian:
Wavelet Siamese Network for Change Detection in Remote Sensing Images. IGARSS 2023: 5455-5458 - [c20]Fengchao Xiong, Zhongyi Gu, Wenbin Zheng, Tianhan Li, Jun Zhou:
Multi-Task Attentional U-Net for Hyperspectral Image Denoising. IGARSS 2023: 7336-7339 - [c19]Yuheng Jin, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function. WHISPERS 2023: 1-5 - 2022
- [j13]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j12]Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian:
MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j11]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian:
SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j10]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j9]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 31: 5469-5483 (2022) - [c18]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c17]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP 2022: 2809-2813 - [c16]Xiangyu Wu, Jianfeng Lu, Zhuanfeng Li, Fengchao Xiong:
Ques-to-Visual Guided Visual Question Answering. ICIP 2022: 4193-4197 - [c15]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c14]Chenglong Wang, Minchao Ye, Ling Lei, Fengchao Xiong, Yuntao Qian:
Cross-Domain Attention Network for Hyperspectral Image Classification. IGARSS 2022: 1564-1567 - [c13]Zhihao Meng, Minchao Ye, Futian Yao, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Image Classification Based on Cycle-Consistent Adversarial Networks. IGARSS 2022: 1912-1915 - 2021
- [j8]Jianxi Wang, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2473-2483 (2021) - [c12]Shide Zou, Fengchao Xiong, Haonan Luo, Jianfeng Lu, Yuntao Qian:
AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images. DICTA 2021: 1-8 - [c11]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c10]Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. IGARSS 2021: 4131-4134 - [c9]Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. WHISPERS 2021: 1-5 - 2020
- [j7]Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. Remote. Sens. 12(24): 4027 (2020) - [j6]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6088-6100 (2020) - [j5]Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou:
Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58(10): 7418-7434 (2020) - [j4]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Material Based Object Tracking in Hyperspectral Videos. IEEE Trans. Image Process. 29: 3719-3733 (2020) - [c8]Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Haifeng Zhao, Jun Zhou:
M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images. DICTA 2020: 1-8 - [c7]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian:
BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. ICIP 2020: 2106-2110 - [c6]Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2020: 2157-2160 - [i3]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. CoRR abs/2012.01829 (2020)
2010 – 2019
- 2019
- [j3]Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(4): 2341-2357 (2019) - [j2]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Restoration via L0 Gradient Regularized Low-Rank Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(12): 10410-10425 (2019) - [c5]Qipeng Qian, Fengchao Xiong, Jun Zhou:
Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing. IGARSS 2019: 2151-2154 - [c4]Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian:
Dynamic Material-Aware Object Tracking in Hyperspectral Videos. WHISPERS 2019: 1-6 - 2018
- [c3]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. ICIP 2018: 3219-3223 - [c2]Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du:
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. ICSM 2018: 308-319 - [c1]Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2018: 6392-6395 - [i2]Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du:
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. CoRR abs/1810.11819 (2018) - [i1]Fengchao Xiong, Jun Zhou, Kun Qian, Yuntao Qian:
Spectral-spatial features for material based object tracking in hyperspectral videos. CoRR abs/1812.04179 (2018) - 2017
- [j1]Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, Yuan Yan Tang:
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 55(3): 1776-1792 (2017)
Coauthor Index
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