Image Matching and Target Recognition Technologies: Prospects and Challenges
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 April 2026 | Viewed by 1
Special Issue Editors
Interests: real-time image processing; target recognition
Interests: radar signal processing; SAR target detection; marine environment; SAR GMTI
Special Issues, Collections and Topics in MDPI journals
Interests: real-time photogrammetry; 3D reconstruction; vector 3D mapping; remote sensing intelligent interpretation; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of remote sensing technology has led to an unprecedented explosion in the availability of high-resolution Earth observation data, acquired from diverse platforms including satellites, aircraft, and unmanned aerial vehicles (UAVs). This deluge of data presents significant opportunities and formidable challenges in the domains of image matching and target recognition. Image matching serves as a foundational technique for tasks such as multi-temporal analysis, three-dimensional reconstruction, and image registration, and target recognition enables the automated identification and monitoring of terrestrial objects and dynamic phenomena. The academic community continues to advance state-of-the-art methodologies—from traditional feature-based approaches to deep learning architectures—to address domain-specific challenges inherent in remote sensing imagery, including variations in illumination, seasonal transitions, perspective disparities, and complex contextual backgrounds.
In response to these challenges, this Special Issue focuses on the field of image matching and target recognition for remote sensing, aiming to gather and highlight the latest research achievements and innovative practices in the field. This includes, but is not limited to, the following topics:
- Advanced feature detection and matching algorithms for multi-sensor remote sensing data;
- Deep learning approaches for target recognition and detection in complex environments;
- Multi-temporal image analysis and change detection techniques;
- Three-dimensional reconstruction and stereo matching from aerial and satellite imagery;
- Multi-modal data fusion for improved matching and recognition performance;
- Large-scale image processing and efficient computational methods;
- Few-shot object detection and recognition in remote sensing data;
- Robust algorithms for handling varying atmospheric conditions and seasonal changes;
- Real-time processing techniques for emergency response applications.
Prof. Dr. Jianghua Cheng
Prof. Dr. Gui Gao
Dr. Xiongwu Xiao
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 matching
- target recognition real-time image processing
- machine learning
- image feature extraction and processing
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