Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis. - Yongjun Zhang 002; Daifeng Peng; Xu Huang 005 (IEEE Geosci. Remote. Sens. Lett., 2018)

A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching. - Xunwei Xie; Yongjun Zhang 002; Xiang Wang; Daifeng Peng (IEEE Geosci. Remote. Sens. Lett., 2019)

Affine-Function Transformation-Based Object Matching for Vehicle Detection from Unmanned Aerial Vehicle Imagery. - Shuang Cao; Yongtao Yu; Haiyan Guan; Daifeng Peng; Wanqian Yan (Remote. Sens., 2019)

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++. - Daifeng Peng; Yongjun Zhang 002; Haiyan Guan (Remote. Sens., 2019)

A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data. - Suoyan Pan; Haiyan Guan; Yongtao Yu; Jonathan Li 001; Daifeng Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data With Digital Images. - Haiyan Guan; Yongtao Yu; Daifeng Peng; Yufu Zang; JianYong Lu; Aixia Li; Jonathan Li 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Robust Feature Matching with Spatial Smoothness Constraints. - Xu Huang 005; Xue Wan; Daifeng Peng (Remote. Sens., 2020)

Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images. - Jian Kang; Haiyan Guan; Daifeng Peng; Ziyi Chen (Int. J. Appl. Earth Obs. Geoinformation, 2021)

SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery. - Daifeng Peng; Lorenzo Bruzzone; Yongjun Zhang 002; Haiyan Guan; Pengfei He (Int. J. Appl. Earth Obs. Geoinformation, 2021)

SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images. - Daifeng Peng; Lorenzo Bruzzone; Yongjun Zhang 002; Haiyan Guan; Haiyong Ding; Xu Huang 005 (IEEE Trans. Geosci. Remote. Sens., 2021)

Road marking extraction in UAV imagery using attentive capsule feature pyramid network. - Haiyan Guan; Xiangda Lei; Yongtao Yu; Haohao Zhao; Daifeng Peng; José Marcato Junior; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Object-Oriented Change Detection Method Based on Spectral-Spatial-Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images. - Chuting Ge; Haiyong Ding; Iñigo Molina; Yongjian He; Daifeng Peng (Remote. Sens., 2022)

RACDNet: Resolution- and Alignment-Aware Change Detection Network for Optical Remote Sensing Imagery. - Juan Tian; Daifeng Peng; Haiyan Guan; Haiyong Ding (Remote. Sens., 2022)

Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images. - Daifeng Peng; Haiyan Guan; Yufu Zang; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2022)

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images. - Lei Ding 008; Kun Zhu 026; Daifeng Peng; Hao Tang 005; Kuiwu Yang; Lorenzo Bruzzone (CoRR, 2023)

Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data. - Yansheng Li 001; Xinwei Li; Yongjun Zhang 002; Daifeng Peng; Lorenzo Bruzzone (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Edge-guided multi-scale foreground attention network for change detection in high resolution remote sensing images. - Junjie Lin; Guojie Wang; Daifeng Peng; Haiyan Guan (Int. J. Appl. Earth Obs. Geoinformation, 2024)

VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images. - Yufu Zang; Shuye Wang; Haiyan Guan; Daifeng Peng; Jike Chen; Yanming Chen 001; Mahmoud Reza Delavar (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images. - Lei Ding 008; Kun Zhu 003; Daifeng Peng; Hao Tang 005; Kuiwu Yang; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2024)

RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation. - Bin Liu; Jian Kang; Haiyan Guan; Xiaodong Zhi; Yongtao Yu; Lingfei Ma; Daifeng Peng; Linlin Xu; Dongchuan Wang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges. - Daifeng Peng; Xuelian Liu; Yongjun Zhang 002; Haiyan Guan; Yansheng Li 001; Lorenzo Bruzzone (Int. J. Appl. Earth Obs. Geoinformation, 2025)