Advances in Artificial Intelligence (AI) and Deep Learning (DL) in UAV-Based Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 528
Special Issue Editors
Interests: computer vision; RPAS/UAV; remote sensing; cloud computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on advancing the integration of Artificial Intelligence (AI) and Deep Learning (DL) in UAV-based remote sensing. UAVs have revolutionized remote sensing by providing flexible, cost-effective, and high-resolution data acquisition capabilities. AI and DL methods have further enhanced the analysis, interpretation, and predictive modeling of UAV-collected data, contributing to applications in agriculture, forestry, environmental monitoring, disaster management, and urban planning.
The objective of this Special Issue is to bring together groundbreaking research and practical implementations that leverage AI and DL to advance UAV remote sensing. We invite submissions showcasing novel methodologies, innovative algorithms, and real-world applications. Particular focus will be given to challenges such as scalability, accuracy, adaptability, and efficiency in processing UAV data across diverse environmental and operational conditions. Contributions that highlight the development of robust and flexible AI models capable of adapting to varying terrains, weather conditions, and application domains are especially encouraged.
Suggested Themes:
- Development of AI/DL models for UAV image and video analytics;
- UAV-based environmental and disaster monitoring systems;
- Precision agriculture using UAVs and AI;
- Real-time data processing and analytics for UAV applications;
- AI for multi-sensor integration in UAV platforms;
- Ethical considerations and challenges in UAV data processing.
Article Types: Original research articles, review papers, and case studies.
Dr. Michal Aibin
Dr. Ryan Rad
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- artificial intelligence
- deep learning
- UAV remote sensing
- object detection
- semantic segmentation
- environmental monitoring
- precision agriculture
- 3D reconstruction
- real-time analytics
- multi-sensor integration
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