Xingli Qin

According to our database, Xingli Qin authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Pingxiang Li, Hongwei Zeng, Miao Zhang, Kaimin Sun

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

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, Fuyou Tian, Yupei Cao, Yazhou Liu

Proceedings of the IGARSS 2024, 2024

2023

A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering.

Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Yan Zhao, Xia Yao, Tao Cheng, Xingli Qin, Fangming Wu

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

2022

Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery.

Xingli Qin, Lingli Zhao, Jie Yang, Pingxiang Li, Bingfang Wu, Kaimin Sun, Yubin Xu

Remote. Sens., December, 2022

2020

A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images.

Xingli Qin, Jie Yang, Lingli Zhao, Pingxiang Li, Kaimin Sun

Remote. Sens., 2020

2019

A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering.

Xingli Qin, Jie Yang, Pingxiang Li, Weidong Sun, Wei Liu

Remote. Sens., 2019

Research on Water Body Extraction from Gaofen-3 Imagery Based on Polarimetric Decomposition and Machine Learning.

Xingli Qin, Jie Yang, Pingxiang Li, Weidong Sun

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019