Research on Water Body Extraction from Gaofen-3 Imagery Based on Polarimetric Decomposition and Machine Learning. - Xingli Qin; Jie Yang 040; Pingxiang Li; Weidong Sun (IGARSS, 2019)

A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering. - Xingli Qin; Jie Yang 040; Pingxiang Li; Weidong Sun; Wei Liu (Remote. Sens., 2019)

A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images. - Xingli Qin; Jie Yang 040; Lingli Zhao; Pingxiang Li; Kaimin Sun (Remote. Sens., 2020)

Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery. - Xingli Qin; Lingli Zhao; Jie Yang 040; Pingxiang Li; Bingfang Wu; Kaimin Sun; Yubin Xu (Remote. Sens., 2022)

A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering. - Yuanchao Li; Hongwei Zeng; Miao Zhang 002; Bingfang Wu; Yan Zhao; Xia Yao; Tao Cheng 003; Xingli Qin; Fangming Wu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

An Object-Level Multi-Source Transfer Learning Method Integrating Optical and SAR Features: A Case Study of Gaofen, Ziyuan, and Sentinel-1 Satellites. - Xingli Qin; Bingfang Wu; Hongwei Zeng; Miao Zhang 002; Fuyou Tian; Yupei Cao; Yazhou Liu (IGARSS, 2024)

Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition. - Xingli Qin; Lingli Zhao; Jie Yang 040; Pingxiang Li; Hongwei Zeng; Miao Zhang 002; Kaimin Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)