A salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiao-Yang Zhao 003; Yong-Gong Ren; Ximing Li 002; Xiang-Hai Wang 001 (CoRR, 2018)

A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise. - Bo Fu 001; Xiao-Yang Zhao 003; Yi Li; Xiang-Hai Wang 001; Yong-Gong Ren (CoRR, 2018)

Patch-based contour prior image denoising for salt and pepper noise. - Bo Fu 001; Xiaoyang Zhao 003; Yi Li; XiangHai Wang 001 (Multim. Tools Appl., 2019)

A convolutional neural networks denoising approach for salt and pepper noise. - Bo Fu 001; Xiaoyang Zhao 003; Yi Li; XiangHai Wang 001; Yonggong Ren (Multim. Tools Appl., 2019)

A salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiaoyang Zhao 003; Chuanming Song 001; Ximing Li 002; Xiang-Hai Wang 001 (Multim. Tools Appl., 2019)

NSST and vector-valued C-V model based image segmentation algorithm. - XiangHai Wang 001; Xiaoyang Zhao 003; Yihuan Zhu; Xin Su (IET Image Process., 2020)

CSDBF: Dual-Branch Framework Based on Temporal-Spatial Joint Graph Attention With Complement Strategy for Hyperspectral Image Change Detection. - XiangHai Wang 001; Keyun Zhao; Xiaoyang Zhao 003; Siyao Li (IEEE Trans. Geosci. Remote. Sens., 2022)

FSL-Unet: Full-Scale Linked Unet With Spatial-Spectral Joint Perceptual Attention for Hyperspectral and Multispectral Image Fusion. - Xiang-Hai Wang 001; Xinying Wang 005; Keyun Zhao; Xiaoyang Zhao 003; Chuanming Song 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

GTMSiam: Gated Transmitting-Based Multiscale Siamese Network for Hyperspectral Image Change Detection. - Xiang-Hai Wang 001; Keyun Zhao; Xiao-Yang Zhao 003; Siyao Li (IEEE Geosci. Remote. Sens. Lett., 2023)

BiG-FSLF: A Cross Heterogeneous Domain Few-Shot Learning Framework Based on Bidirectional Generation for Hyperspectral Image Change Detection. - Xiang-Hai Wang 001; Siyao Li; Xiao-Yang Zhao 003; Keyun Zhao (IEEE Trans. Geosci. Remote. Sens., 2023)

TriTF: A Triplet Transformer Framework Based on Parents and Brother Attention for Hyperspectral Image Change Detection. - Xiang-Hai Wang 001; Keyun Zhao; Xiao-Yang Zhao 003; Siyao Li (IEEE Trans. Geosci. Remote. Sens., 2023)

GeSANet: Geospatial-Awareness Network for VHR Remote Sensing Image Change Detection. - Xiao-Yang Zhao 003; Keyun Zhao; Siyao Li; Xiang-Hai Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion. - Xiang-Hai Wang 001; Xinying Wang 005; Ruoxi Song; Xiao-Yang Zhao 003; Keyun Zhao (Knowl. Based Syst., 2023)

Interdomain Collaboration Between Hyperspectral and VHR Remote Sensing Images: A Cross-Scene Few-Shot Learning Framework for Change Detection. - XiangHai Wang 001; Siyao Li; Xiaoyang Zhao 003; Yuetong Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

GTransCD: Graph Transformer-Guided Multitemporal Information United Framework for Hyperspectral Image Change Detection. - Xiao-Yang Zhao 003; Siyao Li; Tingting Geng; Xiang-Hai Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

GaMPF: A Full-Scale Gated Message Passing Framework Based on Collaborative Estimation for VHR Remote Sensing Image Change Detection. - Xiaoyang Zhao 003; Keyun Zhao; Siyao Li; Chuanming Song 001; Xiang-Hai Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Patch- and Class-Wise Hyperspectral Knowledge Learning: A Composite Consistency-Constrained Self-Ensemble Framework for Change Detection. - Xiao-Yang Zhao 003; Siyao Li; Xinyue Liu; Chuanming Song 001; XiangHai Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)