Crop Classification Based on Differential Characteristics of H/α Scattering Parameters for Multitemporal Quad- and Dual-Polarization SAR Images. - Jiao Guo; Pengliang Wei; Jian Liu; Biao Jin; Baofeng Su; Zheng-Shu Zhou (IEEE Trans. Geosci. Remote. Sens., 2018)

Classification and Mapping of Paddy Rice using Multi-temporal Landsat Data with a Deep Semantic Segmentation Model. - Meiqi Du; Jingfeng Huang; Dengfeng Chai; Tao Lin 008; Pengliang Wei (Agro-Geoinformatics, 2021)

Monitoring Meteorological Drought in Southern China Using Remote Sensing Data. - Li Liu 059; Ran Huang; Jiefeng Cheng; Weiwei Liu; Yan Chen; Qi Shao; Dingding Duan; Pengliang Wei; Yuanyuan Chen; Jingfeng Huang (Remote. Sens., 2021)

Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021. - Pengliang Wei; Dengfeng Chai; Ran Huang; Dailiang Peng; Tao Lin 008; Jinming Sha; Weiwei Sun; Jingfeng Huang (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels. - Pengliang Wei; Ran Huang; Tao Lin 008; Jingfeng Huang (Remote. Sens., 2022)

Semantic Segmentation Based on Temporal Features: Learning of Temporal-Spatial Information From Time-Series SAR Images for Paddy Rice Mapping. - Lingbo Yang; Ran Huang; Jingfeng Huang; Tao Lin 008; Limin Wang 005; Ruzemaimaiti Mijiti; Pengliang Wei; Chao Tang; Jie Shao 002; Qiangzi Li; Xin Du 004 (IEEE Trans. Geosci. Remote. Sens., 2022)

Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning. - Pengliang Wei; Jiao Guo; Jiaqian Lian; Chaoyang Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)