Challenges and Prospects in Remote Sensing Data Intelligent Interpretation
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 101
Special Issue Editors
Interests: remote sensing; ecological remote sensing; image segmentation and classification; forest remote sensing
Interests: multi-modal data fusion; intelligent interpretation of remote sensing imagery; large model compression and edge computing; 3D reconstruction from imagery and point clouds
Interests: multi-modal image fusion; image processing; vision navigation based on remote sensing image; remote sensing image generation and translation
Interests: remote sensing; ecological environment monitoring; spatial analysis; data assimilation; data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing, as an important method of earth observation, plays an indispensable role in various fields, such as resource investigation, environmental monitoring, urban management, and disaster prevention and mitigation. With the rapid development of satellite and unmanned aerial vehicle (UAV) technologies, the types of remote sensing data have become increasingly diverse, including multispectral, hyperspectral, thermal infrared, SAR, and LiDAR data. They provide a rich data foundation for the interpretation of remote sensing. The development of machine learning and deep learning has provided advanced technological tools for land cover segmentation/classification, change detection, object detection and recognition, etc. However, in the context of remote sensing big data, with the increasing demand for accuracy, depth, and breadth of knowledge interpretation, the intelligent interpretation capability of remote sensing data is insufficient. This Special Issue aims to explore new theories, methods, and applications in remote sensing data intelligent interpretation, promote the development of remote sensing interpretation toward higher accuracy, finer granularity, and greater comprehensiveness, and provide stronger scientific and technological support for global sustainable development.
Potential topics of interest may include, but are not limited to, the following:
- Intelligent land cover segmentation or classification algorithm;
- Intelligent ground object change detection algorithm;
- Intelligent object detection and recognition algorithm;
- Intelligent motion tracking and analysis algorithm;
- Advanced multimodal data fusion algorithm;
- Advanced remote sensing large model optimization algorithm;
- Application in the field of resource investigation;
- Application in the field of environmental monitoring;
- Application in the field of urban management;
- Application in the field of disaster emergency response.
Dr. Xiaoli Li
Dr. Kun Hu
Dr. Xupei Zhang
Prof. Dr. Jinsong Chen
Guest Editors
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Keywords
- remote sensing data intelligent interpretation
- land cover segmentation or classification
- change detection
- object detection and recognition
- remote sensing large models
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