Recent Progress in UAV-AI Remote Sensing II

Dear Colleagues,

The development of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI) technologies has generated increasing interest and started a new field of research applications. Faced with precise or incidental needs in different research areas such as energy, construction, security, agriculture, forestry and ecology, UAV imagery provides the research community with a large amount of widely sourced, real-time and high-resolution data, followed by effective and efficient data mining using AI to obtain new, implicit or useful information to support practical guidance and further applications. Combining the advantages of UAVs and AI enables automated and rapid processing and modelling to gain immediate and spatio-temporally variable knowledge of the target area and significantly reduce the workload of operators and instructors. In order to build a UAV-AI system for solving complex problems, researchers will perform a full range of tasks from data collection to model building, and the achievement of any task will contribute to the development of UAV-AI.

This special issue aims at research covering the interpretation of data obtained from different UAV sensors using artificial intelligence techniques. Research on the integration of multi-source, multi-temporal or multi-scale UAV imagery (e.g. multispectral, hyperspectral, thermal imaging, LiDAR, etc.) and multiple AI domains (e.g. deep learning, reinforcement learning and joint learning) is welcome and aims to address challenges or bottlenecks in each domain. Articles may address, but are not limited to, the following topics:Data processing (multispectral, hyperspectral, thermal, LiDAR, etc.)

• Real-time object detection, counting, segmentation and tracking
• Change detection in land, forest, grass
• Pests, disease, and other disasters monitoring
• AI algorithms for UAV data
• UAV-AI system development
• UAV-AI applications

Dr. Yingying Dong
Dr. Chenghai Yang
Dr. Giovanni Laneve
Prof. Dr. Wenjiang Huang
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.

• unmanned aerial vehicles
• artificial intelligence
• data fusion
• data mining
• UAV-AI algorithms
• real-time processing
• change detection
• disaster monitoring
• system and applications

• Recent Progress in UAV-AI Remote Sensing in Remote Sensing (16 articles)