Advanced Image Processing Algorithms for Object Detection and Tracking in Aerial and Satellite Imagery
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 29 August 2025 | Viewed by 175
Special Issue Editors
Interests: hyperspectral imaging; computer vision; pattern recognition; applications to remote sensing, agriculture, environment, and medicine
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing image processing; deep learning for remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: satellite video object detection; remote sensing object detection
Special Issue Information
Dear Colleagues,
The availability of aerial and satellite imagery has revolutionized numerous fields, including environmental monitoring, urban planning, and disaster management. Central to harnessing the full potential of this imagery are advanced image processing algorithms that facilitate accurate object detection and tracking. These algorithms enable the precise identification and analysis of features of geospatial objects within diverse and complex landscapes.
This Special Issue aims to collate cutting-edge research and developments in image processing techniques focusing on object detection and tracking for aerial and satellite imagery. We invite contributions that address the unique challenges posed by these data sources, including varying resolutions, perspectives, and environmental conditions. Our goal is to showcase innovative methodologies that enhance the accuracy, efficiency, and applicability of object detection and tracking in remote sensing.
- Deep Learning-based Object Detection in Aerial and Satellite Imagery;
- Advanced Algorithms and Techniques for Object Tracking in Hyperspectral Videos;
- Cross-modal Remote Sensing Object Detection and Tracking;
- The Applications of Remote Sensing Object Detection in Urban Planning, Disaster Management, Environmental Monitoring, and Smart Farming.
Prof. Dr. Jun Zhou
Prof. Dr. Libao Zhang
Dr. Junpeng Zhang
Dr. Jue Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- deep learning
- object detection
- object tracking
- cross-modal representation learning
- hyperspectral videos
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