Advanced Artificial Intelligence and Deep Learning for Remote Sensing (4th Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 965
Editors
Interests: infrared small-target detection; remote sensing image processing; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: radar signal detection; target detection and recognition; radar system
Special Issues, Collections and Topics in MDPI journals
Interests: target detection; image restoration; remote sensing object detection
Special Issues, Collections and Topics in MDPI journals
Interests: object detection; remote sensing and scene perception; infrared image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing is a fundamental tool for examining the world from afar. The development of artificial intelligence (AI) and deep learning (DL) applications has paved the way for research opportunities in various fields such as remote sensing, which uses Earth observation, disaster warning, and environmental monitoring. In recent years, with the continuous development of remote sensing technologies, especially the continuous emergence of different detection sensors and new detection systems and the continuous accumulation of historical data and samples, it is possible to use AI and DL for big data training, and the field has become a research hotspot.
This Special Issue aims to report the latest advances and trends in AI and DL techniques applied to remote sensing, with a particular thematic emphasis on foundation models for Earth observation, multi-modal and cross-modal remote sensing learning, vision–language understanding of geospatial scenes, and trustworthy physics-informed AI. Both theoretical and applied papers are welcome, especially those addressing interpretability, physical consistency, and generalization of AI-driven remote sensing systems. We invite experts and scholars to contribute original research on the latest progress of AI and DL in Earth observation, disaster warning, environmental monitoring, and multi-sensor remote sensing to further promote technological advancement in this field.
The topics include, but are not limited to, the following:
- Foundation models and large-scale pretraining for remote sensing scene understanding.
- Vision–language models for geospatial scene interpretation.
- Multi-modal learning across optical, SAR, LiDAR, infrared, and UAV data.
- Physics-informed and knowledge-guided deep learning for remote sensing.
- Trustworthy and explainable AI in remote sensing.
- Object detection and scene classification in high-resolution and SAR imagery.
- UAV remote sensing and scene perception.
- Large-scale geospatial data mining in remote sensing.
This Special Issue is a new edition of “Advanced Artificial Intelligence and Deep Learning for Remote Sensing (3rd Edition)”, which can be viewed at https://www.mdpi.com/journal/remotesensing/special_issues/L289L3L887
Prof. Dr. Zhenming Peng
Prof. Dr. Zhengzhou Li
Dr. Yimian Dai
Dr. Yuhan Liu
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-anonymized 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.
Keywords
- foundation models
- multi-modal remote sensing
- vision–language models
- trustworthy AI
- multi-temporal change detection
- SAR scene classification
- LiDAR scene reconstruction
- remote sensing object recognition
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