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.
  2
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
  4
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
  5
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

· [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
· [2025.12]PR | 面向无人机边缘端实时灾害损毁评估的知识蒸馏框架DisasterKD
· [2025.11]我组学生荣获第十一届中国研究生智慧城市技术与创意设计大赛一等奖
· [2025.04]2025 RSIDEA工作室招新 · 遥感智能解译 科研之旅邀你同行
· [2025.03]夜间视觉|微光-热红外多模态夜间目标跟踪数据集(NOT-156)
· [2025.1]CVPR2025 | HyperFree:波段自适应的新一代高光谱遥感基础模
· [2024.05]我组学生赴珠海参加2024年健康地理学青年学者论坛
· [2024.05]我组学生参加2024视觉与学习青年学者研讨会

Access Statistics:


 

Flag Counter
end_bar