Machine Learning in UAV Remote Sensing

Dear Colleagues,

This Special Issue aims to explore the cutting-edge advancements in the field of machine learning (ML) applied to unmanned aerial vehicle (UAV) remote sensing, revolutionizing the capabilities of sensor technology. UAVs equipped with remote sensing instruments have emerged as powerful tools for data acquisition in various domains, including environmental monitoring, precision agriculture, disaster management, and infrastructure inspection. By leveraging ML techniques, these UAV-based sensing systems can unlock unprecedented potential for data analysis, interpretation, and decision making.

The Special Issue will feature research articles and reviews that highlight the fusion of machine learning algorithms with UAV remote sensing technologies. Topics of interest include, but are not limited to, deep learning for image classification and object detection, data fusion techniques for multi-sensor integration, anomaly detection and change detection algorithms, reinforcement learning for autonomous UAV navigation, and cloud-based ML frameworks for large-scale data processing.

Dr. Zhiling Guo
Dr. Qi Chen
Dr. Wei Yuan
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. Sensors 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 2600 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.

• machine learning
• UAV remote sensing
• sensor technology
• deep learning
• data fusion
• anomaly detection
• change detection
• reinforcement learning
• autonomous navigation
• cloud computing