RSIDEA是由从事遥感方向研究的科研人员组建的一个学术研究组。学术指导为张良培教授,负责人为 钟燕飞教授。“RSIDEA”的含义是“Intelligent Data Extraction, Analysis and Applications of Remote Sensing(智能化遥感数据提取分析与应用)”。RSIDEA主要研究方向为: 高光谱遥感信息处理 高分辨率遥感影像理解 多源遥感数据地学解译。研究组拥有无人机高光谱/可见光/热红外、热红外高光谱、视频高光谱、百万工业级服务器等硬件设施。

招聘信息 招生信息 EarthVQA数据集现已发布! NEW!2025年研究生招生(欢迎与我们联系!)
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Zheng Z, Y. Zhong, J. Wang, A. Ma and L. Zhang, "FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 11, pp. 13715-13729, 1 Nov. 2023, doi: 10.1109/TPAMI.2023.3296757.
  2
Y. Zhong, B. Yan, J. Yi, R. Yang, M. Xu, Y. Su, Z. Zheng, L. Zhang, "Global urban high-resolution land-use mapping: From benchmarks to multi-megacity applications", Remote Sensing of Environment, vol 298, pp. 113758, 2023
  3
J. Wang, A. Ma, Z. Chen, Z. Zheng, Y. Wan, L. Zhang, and Y. Zhong, "EarthVQANet: Multi-task visual question answering for remote sensing image understanding," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 212, pp. 422-439, 2024
  4
Y. Zhong, Y. Su, S. Wu, Z. Zheng, J. Zhao, A. Ma, Q. Zhu, R. Ye, X. Li, P. Pellikka, and L. Zhang, "Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: a case study of Chinese cities," Remote Sensing of Environment, vol. 247, pp. 111838, 2020
  5
Y. Zhong, X. Hu, C. Luo, X. Wang, J. Zhao, and L. Zhang, "WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H 2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF," Remote Sensing of Environment, vol. 250, pp. 112012, 2020
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· [2024.03]Hi-CNA dataset: a high-resolution remote sensing dataset dedicated to the cropland non-agriculturalization (CNA) tasks
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