Advanced Technology for Remote Sensing Image Analysis and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 28 September 2025 | Viewed by 188
Special Issue Editors
Interests: hyperspectral/multispectral data analysis and processing; multisensor information fusion and applications; VHR image information extraction and interpretation; polarized hyperspectral image processing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; deep learning; image classification; data fusion; image enhancement
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent interpretation of remote sensing images; image processing; machine learning and artificial intelligence (AI)
Interests: remote sensing; imaging spectroscopy; big data; ecosystem monitoring
2. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
Interests: intelligent interpretation of remote sensing images; image processing; machine learning; artificial intelligence (AI)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the rapid development of sensors in recent years, remote sensing imaging technology has made great progress and has been applied in many fields. Remote sensing images are surface images collected from high-altitude or remote devices such as satellites and airplanes. Compared to traditional ground measurement methods, remote sensing images have a wide coverage area and strong diversity, which can cover surface information of different periods, regions, and scales. Remote sensing images can be divided into various types, including infrared images, multispectral images, hyperspectral images, etc. Remote sensing images are widely used in some applications such as earth science, environmental science, agriculture and forestry, urban planning, etc.
Although machine learning techniques, especially deep learning, have achieved great success in the field of remote sensing image processing, deep analysis of the characteristics of remote sensing images and improvements in application performance still face significant challenges, including unbalanced sample categories, limited generalization ability, poor cross-scenario performance, the different characteristics of multi-sensors or data sources, high computational costs and expenses, etc. Therefore, more solutions should be developed to utilize some advanced machine learning techniques, such as few-shot learning, meta-learning, semi-supervised learning, active learning, or other new technologies, to alleviate these challenges and promote the widespread application of remote sensing images.
This Special Issue encourages authors to submit research, review, or application-oriented articles on topics regarding remote sensing image analysis and applications, such as enhancement, restoration, classification, semantic segmentation, compression, object detection, super-resolution, and analysis. These topics include, but are not limited to, the following:
- Image enhancement;
- Semi supervised image classification;
- Image segmentation;
- Optical/hyperspectral/multispectral image analysis;
- Object-based image understanding;
- Change/anomaly detection;
- Multimodal fusion;
- Cross-scene image processing;
- Domain-adaptation/few-shot learning-based methods;
- On-board image compression;
- Other new machine learning models for remote sensing image processing.
Prof. Dr. Junping Zhang
Dr. Haixia Bi
Prof. Dr. Cuiping Shi
Dr. Chaonan Ji
Prof. Dr. Liguo Wang
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
- deep learning
- classification
- image fusion
- segmentation
- enhancement
- cross-domain
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