Artificial Intelligence Remote Sensing Change Detection: Development and Challenges

Dear Colleagues,

Remote sensing change detection has emerged as a pivotal tool for monitoring dynamic environmental processes, urban expansion, disaster response, and ecological shifts. The integration of artificial intelligence (AI), particularly deep learning, has revolutionized this field by enabling automated, high-precision analysis of multi-temporal and multi-source satellite data. However, challenges persist in addressing data heterogeneity, model interpretability, computational efficiency, and generalization across diverse geographical contexts. This Special Issue aims to consolidate cutting-edge research on AI-driven methodologies for remote sensing change detection, while critically examining their limitations and future directions.

We invite contributions that explore innovative algorithms, datasets, and applications to advance the theoretical and practical frontiers of AI in change detection. Topics of interest include, but are not limited to, the following:

• Deep learning architectures;
• Multi-modal data fusion;
• Weakly supervised and self-supervised learning;
• Explainable AI (XAI);
• Lightweight models;
• Cross-domain adaptation;
• Application case studies.

We welcome original research articles, reviews, and perspective papers that align with these themes. Join us in shaping the future of intelligent Earth observation systems.

Dr. Lingyan Ran
Prof. Dr. Tao Zhuo
Dr. Shizhou Zhang
Prof. Dr. Fa-Ming Fang
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.