Topic Modelling for Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images Based on Multiscale Image Segmentation. - Li Shen 004; Linmei Wu; Yanshuai Dai; Wenfan Qiao; Ying Wang (Remote. Sens., 2017)

Detection of Vegetation Areas Attacked By Pests and Diseases Based on Adaptively Weighted Enhanced Global and Local Deep Features. - Yanshuai Dai; Li Shen 004; Yungang Cao; Tianjie Lei; Wenfan Qiao (IGARSS, 2019)

A Fine-Grained Fully Convolutional Network For Extraction of Building Along High-Speed Rail Lines from VHR Remote Sensing Image. - Wenfan Qiao; Li Shen 004; Jicheng Wang; Yungang Cao; Shi He; Yanshuai Dai (IGARSS, 2019)

Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images. - Jicheng Wang; Li Shen 004; Wenfan Qiao; Yanshuai Dai; Zhilin Li 001 (Remote. Sens., 2019)

Building Damage Detection in Vhr Satellite Images Via Multi-Scale Scene Change Detection. - Wenjun Zhang; Li Shen 004; Wenfan Qiao (IGARSS, 2021)

A Weakly Supervised Semantic Segmentation Approach for Damaged Building Extraction From Postearthquake High-Resolution Remote-Sensing Images. - Wenfan Qiao; Li Shen 004; Jicheng Wang; Xiaotian Yang; Zhilin Li 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

A Weakly Supervised Bitemporal Scene Change Detection Approach for Pixel-Level Building Damage Assessment Using Pre- and Post-Disaster High-Resolution Remote Sensing Images. - Wenfan Qiao; Li Shen 004; Wei Wang; Zhilin Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines. - Wenfan Qiao; Li Shen 004; Jicheng Wang; Zhilin Li 001 (Int. J. Digit. Earth, 2024)

Revolutionizing building damage detection: A novel weakly supervised approach using high-resolution remote sensing images. - Wenfan Qiao; Li Shen; Qi Wen; Quan Wen; Shiyang Tang; Zhilin Li (Int. J. Digit. Earth, 2024)