The Recent Progression of Machine Learning in Remote Sensing: Theory and Modelling

Dear Colleagues,

Machine learning has emerged as a powerful tool in remote sensing, enabling the analysis and interpretation of large-scale and complex datasets with remarkable accuracy and efficiency. By leveraging statistical theory, learning theory, and neural networks techniques, machine learning methods can automatically learn patterns and relationships within remote sensing data, uncovering hidden information and aiding in the understanding of various phenomena.

We are pleased to announce the Special Issue, “The Recent Progression of Machine Learning in Remote Sensing: Theory and Modelling”, which will provide researchers with the opportunity to present the modelling techniques of machine learning for remote sensing data analysis, also encouraging machine learning theoretical research for remote sensing data analysis. Articles for this Special Issue may address, but are not limited to, the following topics in remote sensing images:

• Image Classification;
• Image Clustering;
• Image Denoising;
• Objective Detection/Object Tracking;
• Change Detection/Anomaly Detection;
• Machine learning theory for RS Data: Generalizability, Interpretability, etc.

Dr. Rong Wang
Prof. Dr. Lefei Zhang
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.