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、 热红外高光谱遥感信息处理。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 工作室招生 EarthMiss数据集现已发布! NEW!2025年研究生招生(欢迎与我们联系!)
成果速递 MORE

  1
Z. Zheng, 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.
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D. Wang, L. Cao, L. Gao, and Y. Zhong, "Airborne thermal infrared hyperspectral image temperature and emissivity retrieval based on inter-channel correlated automatic atmospheric compensation and TES", Remote Sensing of Environment, vol 315, pp. 114410, 2024
  3
Y. Zhou, A. Ma, J. Wang, Z. Chen, and Y. Zhong, "Remote sensing meta modal representation for missing modality land cover mapping: From EarthMiss dataset to MetaRS method," Remote Sensing of Environment, vol. 333, p. 115132, 2026
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T. Ke Y. Zhong, M. Song, X. Wang, and L. Zhang, "Mineral detection based on hyperspectral remote sensing imagery on Mars: From detection methods to fine mapping," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 218, pp. 761-780, 2024
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Y. Liu Y. Zhong, S. Shi, and L. Zhang, "Scale-aware deep reinforcement learning for high resolution remote sensing imagery classification," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 209, pp. 296-311, 2024
资源共享 MORE

· [2026.04]OpenDPR: Open-Vocabulary Change Detection via Vision-Centric Diffusion-Guided Prototype Retrieval for Remote Sensing Imagery
· [2026.04]CFDNet: Coupling Computational Fluid Dynamics With Convolutional Neural Networks for Gas Detection Using Thermal Infrared Multispectral Video
· [2025.11]MaRS: A Multi-Modality Very-High-Resolution Remote Sensing Foundation Model with Cross-Granularity Meta-Modality Learning
· [2025.05] EarthVQA dataset: a multi-modal multi-task VQA dataset (EarthVQA) to advance relational relational-based judging, counting, and comprehensive analysis
近期动态 MORE

高分辨率多模态遥感智能解译进展与展望
· [2026.11]我组老师参加第二十一届地理信息科学理论与方法学术年会
· [2026.10]RSIDEA师生参加第八届中国湿地遥感大会
· [2026.09]新刊推荐 | Nature Portfolio 推出 npj Geoinformatics,武汉大学钟燕飞教授任主编
· [2026.08]我组师生赴日本福冈参加AOGS 2026学术会议
· [2026.07]RSIDEA发布HyperImageNet:面向精细地物理解的最大规模、最细粒度高空间-高光谱分辨率遥感基准数据集
· [2026.06]我组学生赴美国丹佛参加CVPR 2026学术会议
· [2026.03]ISPRS2026 | 面向光谱抗噪的航空长波红外高光谱影像地表温度与发射率定量反演方法
· [2026.03]TGRS 2026 | 基于计算流体动力学的热红外多光谱视频动态不规则气体探测方法
· [2026.10]2026 RSIDEA工作室招新 · 遥感智能解译 科研之旅邀你同行

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