Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image. - Shuang Zhu; Jinshui Zhang; Guanyuan Shuai; Hongli Liu 003 (IGARSS, 2016)

An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions. - Dengfeng Xie; Jinshui Zhang; Xiufang Zhu; Yaozhong Pan; Hongli Liu 003; Zhoumiqi Yuan; Ya Yun (Sensors, 2016)

Highly efficient paddy classification using UAV-based orthorectified image. - Hongli Liu 003; Zhoumiqi Yuan; Jinshui Zhang; Guanyuan Shuai (IGARSS, 2017)

An Efficient Approach Based on UAV Orthographic Imagery to Map Paddy With Support of Field-Level Canopy Height From Point Cloud Data. - Hongli Liu 003; Jinshui Zhang; Yaozhong Pan; Guanyuan Shuai; Xiufang Zhu; Shuang Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Multi-temporal RADARSAT-2 polarimetric SAR for maize mapping supported by segmentations from high-resolution optical image. - Guanyuan Shuai; Jinshui Zhang; Bruno Basso; Yaozhong Pan; Xiufang Zhu; Shuang Zhu; Hongli Liu 003 (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Autumn Crop Mapping based on Deep Learning Method driven by Historical Labelled Dataset. - Shuang Zhu; Jinshui Zhang; Guanyuan Shuai; Hongli Liu 003; Feng Zhang; Zheng Dong (IGARSS, 2020)