Artificial Intelligence in Computational Remote Sensing

Dear Colleagues,

The emergence of new and more powerful sensor technologies on various platforms (esp. satellites and UAVs) has produced a surge in remote sensing data availability and variety. While a growing number of satellite constellations map the Earth’s surface with increasing detail and frequency, drones of various kinds are gathering data locally.

To make use of these massive amounts of data in an efficient and fast way, computational intelligence tools are increasingly being used for pre-processing, cleaning and enhancing data, and for specific tasks such as classification, segmentation, construction of thematic maps, change detection, super-resolution, object detection and subpixel analysis. As a result, the success of deep learning approaches has injected new vitality in various research fields and introduced the use of remote sensing data to new applications.

In this Special Issue, we emphasize innovative state-of-the-art computational intelligence techniques and algorithms, including deep learning architectures, transfer learning, model fusion and evolutionary learning as well as new and promising fields such as neuromorphic computing. 

Topics covered in this Special Issue:

•  Advanced AI architectures for remote sensing information extraction;
• Conversion of classical RS models using AI;
• Transfer learning and cross-sensor learning;
• Model and data fusion;
• Service robotics systems (UAV, AGV) for safe and remote measuring, inspection, and monitoring;
• Advanced AI-based image feature extraction
• Neuromorphic computing;
• Evolutionary learning and metaheuristics.

Dr. Alireza Taravat
Dr. Matthias P. Wagner
Dr. Andrei Velichko
Dr. Vasilios N. Katsikis
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.