Yinhe Liu’s personal websites

Research Interests

My interests include high spatial resolution remote sensing interpretation and computer vision, focusing on creative datasets and algorithms for various applications, such as large-scale land cover/wetland mapping, change detection analysis, and geo-object extraction.

Education

• Ph.D. in Photogrammetry and Remote Sensing (2019-2024)
  Wuhan University, Wuhan, China
  Adviser: Prof. Yanfei Zhong

  

• B.E. in Surveying and Mapping Engineering (2015-2019)
  Northeastern University, Shenyang, China
  Adviser: Prof. Jiateng Guo

  

Publications

Primary Author Publications

1. Scale-aware Deep Reinforcement Learning for High Resolution Remote Sensing Imagery Classification (2023)
   Yinhe Liu, Yanfei Zhong*, Sunan Shi, Liangpei Zhang*
   ISPRS Journal of Photogrammetry and Remote Sensing, SCI Q1 Top, IF=12.7
   Page

2. Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning (2023)
   Yinhe Liu, Sunan Shi, Junjue Wang, Yanfei Zhong***
   *Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023)

3. Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China (2023)
   Yinhe Liu, Yanfei Zhong*, Ailong Ma, Ji Zhao, Liangpei Zhang*
   International Journal of Applied Earth Observation and Geoinformation, SCI Q1 Top, IF=7.5
   Page

4. Mapping 30-m Resolution Land Cover of China Based on Full Convolutional Neural Network (2022)
   Yinhe Liu, Yanfei Zhong***
   *Proceedings of the 7th China High Resolution Earth Observation Conference (CHREOC 2020)

5. A Geometry-and Texture-based Automatic Discontinuity Trace Extraction Method for Rock Mass Point Cloud (2019)
   Guo, Jiateng*, Yinhe Liu, Lixin Wu, Shanjun Liu, Tianhong Yang, Wancheng Zhu, Zirui Zhang*
   International Journal of Rock Mechanics and Mining Sciences, SCI Q1 Top, IF=7.2

Collaborative Publications

1. Cross-Temporal High Spatial Resolution Urban Scene Classification and Change Detection Based on a Class-Weighted Deep Adaptation Network (2024)
   Shi, Sunan, Yanfei Zhong, Yinhe Liu, Liangpei Zhang, Deren Li
   Urban Informatics

2. A Graph-Based Framework to Integrate Semantic Object/Land-Use Relationships for Urban Land-Use Mapping with Case Studies of Chinese Cities (2023)
   Su, Yu, Yanfei Zhong, Yinhe Liu, Zhendong Zheng
   International Journal of Geographical Information Science (IJ-GIS), SCI Q1, IF=5.7

3. Multi-Temporal Urban Semantic Understanding Based on GF-2 Remote Sensing Imagery: From Tri-Temporal Datasets to Multi-Task Mapping (2023)
   Shi, Sunan, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang, Deren Li
   International Journal of Digital Earth (IJ-DE), SCI Q1, IF=5.1

4. High-Resolution Fine-Grained Wetland Mapping Based on Class-Balanced Deep Semantic Segmentation Networks (2023)
   Yingxin Wu, Yinhe Liu, Shunan Shi, Yanfei Zhong
   2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023)

5. Weakly Supervised Semantic Change Detection via Label Refinement Framework (2022)
   Zheng, Zhuo, Yinhe Liu, Shiqi Tian, Junjue Wang, Ailong Ma, Yanfei Zhong
   2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)

Awards

• Innovation Challenge on AI Application Scene: Third Prize (2023)
• Best Presentation Award at the 5th Wetland Remote Sensing Conference (2023)
• IEEE GRSS Data Fusion Contest: 4th Place (2021)
  Track: Weakly-supervised multitemporal semantic change detection
• Excellent Youth Paper Fund Award
  Proceedings of the 7th China High Resolution Earth Observation Conference (2020)
  Top 10 Paper of Youth Scholars
• IEEE GRSS Data Fusion Contest: 6th Place (2020)
  Track: Land cover classification with low-resolution labels
• Tianzhi Cup Artificial Intelligence Challenge: 6th Place (2019)