Advances in Computer Vision and Machine Learning Applications on Remote Sensing Images
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 312
Special Issue Editors
Interests: remote sensing image processing; image quality enhancement; object/change detection
Special Issues, Collections and Topics in MDPI journals
Interests: large language model tuning; data privacy; model robustness
Interests: the intersection of computer vision, machine learning, and computer graphics
Interests: image fusion; computer vision; remote sensing; urban monitoring; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technology has become a pivotal tool in various fields, including environmental monitoring, urban planning, disaster management, and agriculture. With the increased availability of high-resolution satellite imagery and aerial photography, the volume and complexity of remote sensing data have skyrocketed, necessitating the development of advanced computational techniques. In recent years, the intersection of computer vision (CV) and machine learning (ML) has shown great potential in improving the accuracy, efficiency, and scalability of remote sensing image analysis. This Special Issue seeks to highlight the latest advances in the application of computer vision and machine learning techniques to remote sensing images, showcasing how these methodologies are transforming the analysis of geospatial data. The Special Issue will provide a platform for researchers, practitioners, and policymakers to understand how these advanced computational techniques are revolutionizing the field of remote sensing and can be leveraged to address global challenges such as climate change, natural disasters, and sustainable development.
The primary objective of this Special Issue is to provide a comprehensive overview of the current state-of-the-art methods and innovations in computer vision and machine learning for remote sensing. We aim to focus on new algorithms, novel applications, and emerging trends in the integration of CV and ML for remote sensing image interpretation. Topics may cover anything from classical detection to tracking, recognition, matching, and classification for remote sensing applications. Hence, multisource data fusion (e.g., multispectral, hyperspectral, and thermal), multiscale approaches, or studies focused on the intersection of CV and ML for remote sensing image interpretation, among other issues, are welcome. Articles may address, but are not limited, to the following topics:
Multimodal and multispectral data fusion;
Image matching;
Image quality enhancement;
Dimensional reduction and clustering;
Geographic information extraction, such as roads, buildings, and water bodies;
Object detection and recognition, change detection, and anomaly detection;
High-fidelity urban 3D modelling and scene simulation;
Unsupervised and semi-supervised learning;
Explainable AI (XAI) in remote sensing;
Real-time processing and edge computing: techniques for the real-time processing of remote sensing data, especially using edge devices and cloud computing platforms;
Applications in specific domains, such as agriculture (crop monitoring, pest detection), environmental management (deforestation, biodiversity), urban planning (city development, traffic monitoring), and disaster response (flood, wildfire detection).
Dr. Qiang Li
Dr. Jing Li
Dr. Dan Wang
Dr. Tania Stathaki
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
- remote sensing image processing
- geospatial data analysis
- computer vision
- machine learning
- satellite imagery
- image fusion
- advanced computational techniques
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