Advanced AI Technology for Remote Sensing Analysis
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 664
Special Issue Editors
Interests: computer vision; remote sensing; change detection; hyperspectral image classification; road extraction
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; image recognition; domain adaptation; few-shot learning; light-weight neural network
Special Issues, Collections and Topics in MDPI journals
Interests: compact CNN design; remote sensing scene image recognition; transfer learning and domain adaptation
2. McGregor Coxall Australia Pty Ltd., Sydney, NSW, Australia
Interests: machine learning; geospatial 3D analysis; geospatial database querying; web GIS; airborne/spaceborne image processing; feature extraction; time-series analysis in forecasting modelling and domain adaptation in various environmental applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence (AI) has precipitated remarkable advancements across various scientific and engineering domains. Among these, remote sensing stands out as a critical area where AI technologies, including machine learning and deep learning, are increasingly integrated to revolutionize how we acquire, process, and interpret Earth observation data. Despite the inspiring success of previous work based on standard benchmark datasets, new advanced AI technologies still need to be further clarified and real-world downstream tasks still need to be further explored. This Special Issue aims to explore the cutting-edge intersections of AI technology and remote sensing analysis, presenting novel research findings, methodological developments, and comprehensive reviews.
This Special Issue aims to investigate the application of advanced AI technologies for remote sensing analysis. We invite submissions that address various aspects of remote sensing analysis and the corresponding advanced AI technologies in remote sensing scenes. Potential topics of interest include, but are not limited to, the following:
- Multi-modality (multi-source) image fusion;
- Cross-domain adaptation or multi-domain generalization methods;
- Multi-modality remote sensing image benchmark datasets;
- Multi-modality large foundation models for remote sensing scenes;
- Visual–linguistic models for remote sensing scenes;
- Case studies and applications of multi-modality networks in remote sensing for agriculture, urban planning, forestry, climate change, etc.;
- Multi-view joint analysis of remote sensing scenes;
- Image segmentation/detection or change detection;
- Remote sensing analysis with foundation models.
Authors are invited to submit original research articles (including reviews, articles, technical notes, and communications) that contribute to the field of advanced AI for remote sensing. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of accepted papers. Manuscripts should follow the guidelines provided by the journal and should clearly address the Special Issue theme.
Dr. Guangliang Cheng
Prof. Dr. Qi Zhao
Dr. Shuchang Lyu
Dr. Hossein M. Rizeei
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.
Keywords
- multi-modality images
- image fusion
- cross-domain adaptation
- visual–linguistic models
- multi-modality downstream tasks
- remote sensing
- pattern analysis
- advanced AI technology
- image segmentation/detection and change detection
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