Yinhe Liu

According to our database, Yinhe Liu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Cross-temporal high spatial resolution urban scene classification and change detection based on a class-weighted deep adaptation network.

Sunan Shi, Yanfei Zhong, Yinhe Liu, Liangpei Zhang, Deren Li

Urban Inform., 2024

Occlusion-Aware Road Extraction Network for High-Resolution Remote Sensing Imagery.

Ruoyu Yang, Yanfei Zhong, Yinhe Liu, Xiaoyan Lu, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

MapChange: Enhancing Semantic Change Detection with Temporal-Invariant Historical Maps Based on Deep Triplet Network.

Yinhe Liu, Sunan Shi, Zhuo Zheng, Jue Wang, Shiqi Tian, Yanfei Zhong

CoRR, 2024

2023

Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping.

Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang, Deren Li

Int. J. Digit. Earth, December, 2023

Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China.

Yinhe Liu, Yanfei Zhong, Ailong Ma, Ji Zhao, Liangpei Zhang

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

A graph-based framework to integrate semantic object/land-use relationships for urban land-use mapping with case studies of Chinese cities.

Yu Su, Yanfei Zhong, Yinhe Liu, Zhendong Zheng

Int. J. Geogr. Inf. Sci., 2023

High-Resolution Fine-Grained Wetland Mapping Based on Class-Balanced Deep Semantic Segmentation Networks.

Yingxin Wu, Yinhe Liu, Sunan Shi, Yanfei Zhong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning.

Yinhe Liu, Sunan Shi, Junjue Wang, Yanfei Zhong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery.

Sunan Shi, Yanfei Zhong, Ji Zhao, Pengyuan Lv, Yinhe Liu, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Change Detection Based on a New Chinese Satellite Dataset and a Deep Conditional Random Field Framework.

Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Deren Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Weakly Supervised Semantic Change Detection via Label Refinement Framework.

Zhuo Zheng, Yinhe Liu, Shiqi Tian, Junjue Wang, Ailong Ma, Yanfei Zhong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021