Object Detection and Tracking in Satellite Imagery and Video
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 October 2026 | Viewed by 324
Special Issue Editors
Interests: visual saliency modeling; photogrammetry and remote sensing; image and video processing; virtual reality
Interests: artificial intelligence; computer vision; intelligent equipment
Special Issues, Collections and Topics in MDPI journals
Interests: probabilistic generative models; model compression (knowledge distillation, quantization, etc.; AI-enabled solutions for healthcare, meteorology and other issues
Special Issue Information
Dear Colleagues,
The advent of modern satellite constellations, delivering high revisit rates and sub-meter resolution, coupled with the emergence of satellite video capabilities, has ushered in a revolution in Earth observation. This deluge of spatiotemporal data presents unprecedented opportunities for monitoring dynamic processes on a global scale. Against this backdrop, automated object detection and tracking have emerged as pivotal enabling technologies, capable of transforming raw pixel data into actionable intelligence. These advanced techniques are poised to make significant contributions to a wide array of application domains, including traffic monitoring, urban planning, disaster response, and environmental monitoring. However, the field of remote sensing also presents unique and significant challenges, such as extremely small object sizes, complex backgrounds, and highly variable imaging conditions. These inherent difficulties push conventional computer vision methodologies to their limits, thereby creating a critical demand for specialized and innovative research.
This Special Issue aims to compile high-quality research and review articles that present significant advances in theory, methodology, and application. We seek to foster the development of robust, efficient, interpretable, and trustworthy algorithms that can reliably operate in real-world scenarios. The scope of this Special Issue covers research related to object detection and tracking, spanning novel deep-learning architectures, benchmark datasets and performance evaluation, edge computing and lightweight deployment, as well as new applications.
Topics of interest include, but are not limited to:
- Novel Deep Learning Architectures for detection and tracking
- Small Object Detection
- Tracking in Satellite Video Sequences
- High Reliability and Robustness methods
- Efficient and Rapid Detection/Tracking Solutions
- Explainable AI for Remote Sensing
- Multi-Modal and Multi-Temporal Data Fusion
- Weakly-Supervised and Self-Supervised Learning Strategies
- Domain Adaptation and Generalization Techniques
- Edge Deployment and Lightweight Models
- Large-Scale Benchmarks and Performance Evaluation
- Real-World Applications
- Generative AI for Remote Sensing
Dr. Kao Zhang
Prof. Dr. Feng Jiang
Dr. Xin Ding
Dr. Zhenglong Ding
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- object detection
- object tracking
- satellite imagery and video
- explainable AI for remote sensing
- multi-modal data fusion
- remote sensing applications
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