Target Recognition and Detection Based on High Resolution Radar 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 October 2024 | Viewed by 132
Special Issue Editors
2. Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing 100029, China
Interests: image processing; artificial intelligence; remote sensing; high performance computing
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; artificial intelligence; computer vision; human-computer interface
Special Issues, Collections and Topics in MDPI journals
Interests: radar
Interests: interferometric synthetic aperture radar (InSAR); satellite remote sensing; signal processing
Special Issue Information
Dear Colleagues,
The capacity to successfully detect and identify objects in radar imaging has important implications for military surveillance, environmental protection, and other applications. With the development of modern radar systems capable of producing high-quality pictures, novel algorithms and approaches that enhance the accuracy and reliability of target identification and localization have been developed. We are pleased to invite you to submit your papers to this Special Issue of Remote Sensing, entitled “Target Recognition and Detection Based on High Resolution Radar Images”. This Special Issue focuses on novel research and technologies that aim to enhance target recognition and detection abilities using high-resolution radar pictures, and explores the application of these techniques in various domains. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- radar image dataset
- synthetic aperture radar (SAR) image processing
- novel feature extraction methods.
- SAR image interpretation
- automatic target recognition
- target detection
- deep learning-based approaches (big models et al.)
- other radar image applications.
Prof. Dr. Fan Zhang
Prof. Dr. Huiyu (Joe) Zhou
Prof. Dr. Fei Gao
Dr. Lixiang Ma
Dr. Fei Ma
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
- high-resolution radar images
- synthetic aperture radar (SAR)
- target detection
- target recognition
- deep learning
- machine learning
- image processing
