High-Resolution Remote Sensing Image Processing and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 28 September 2025 | Viewed by 98
Special Issue Editors
Interests: high resolution remote sensing image processing; night light remote sensing
Interests: high-resolution remote sensing; object detection; spatiotemporal prediction; Internet of Things
Special Issue Information
Dear Colleagues,
In the rapidly evolving field of remote sensing, high-resolution imagery is key in research and applications. Advanced sensors are now capable of capturing images with spatial and spectral detail, providing scientists and decision-makers with rich information to more accurately assess environmental changes and their impacts. High-resolution remote sensing imagery not only enhances the precision and efficiency of monitoring but also serves as a powerful tool for addressing global challenges. For instance, in environmental monitoring, it can precisely track deforestation, land use changes, and pollution sources; in precision agriculture, it helps farmers optimize crop management; and in urban planning, it provides data support for the development of smart cities. With continuous technological advancements, the application value of high-resolution remote sensing imagery in areas such as land use, environmental monitoring, precision agriculture, and human activity monitoring is becoming increasingly prominent. However, faced with vast amounts of remote sensing data, we also need to leverage AI technologies to address new challenges.
The core objective of this Special Issue is to unearth and share breakthrough achievements in high-resolution remote sensing image processing and its extensive application areas. We are dedicated to presenting novel algorithms that can break through the bottlenecks of traditional methods. We focus on exploring how high-resolution remote sensing can revolutionize different industries. By demonstrating these applications, we aim to inspire more researchers to apply high-resolution remote sensing technology in their respective fields and foster more effective solutions.
The scope of this Special Issue includes, but is not limited to, the following:
- Advanced super-resolution techniques for high-resolution remote sensing images;
- Remote sensing image registration and fusion;
- Intelligent fusion methods for multi-source high-resolution images;
- 3D reconstruction and visualization in high-resolution remote sensing;
- Deep learning methods for high-resolution satellite image processing and interpretation;
- Object detection and analysis for high-resolution remote sensing images;
- Semantic segmentation for high-resolution remote sensing images;
- Change detection for multi-temporal images;
- Remote sensing vision-language models;
- Artificial intelligence for unmanned aerial vehicle remote sensing;
- High-resolution remote sensing for environmental monitoring;
- High-resolution remote sensing in agriculture;
- High-resolution remote sensing for urban planning;
- High-resolution remote sensing for disaster management and emergency response.
Dr. Kai Xu
Dr. Yixiang Chen
Prof. Dr. Kun Qin
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.
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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
- high-resolution remote sensing
- deep learning
- image processing
- image fusion
- object detection
- semantic segmentation
- change detection
- remote sensing vision–language model.
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