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Spaceborne High-Resolution SAR Imaging (Second Edition)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 2051

Special Issue Editors


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Guest Editor
Xi'an Institute of Space Radio Technology, Xi'an 710000, China
Interests: radar system design; SAR system design and imaging processing; electromagnetic vortex radar imaging

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Guest Editor
XF International Joint Research Center, Xidian University, Xi’an 710017, China
Interests: InSAR signal processing; phase unwrapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

After the resounding success of the first edition of our Special Issue, titled “Spaceborne High-Resolution SAR Imaging”, we are thrilled to announce the second edition of this issue.

Spaceborne SAR denotes wide-range active microwave imaging equipment that has important application value in military reconnaissance, topographic mapping, disaster monitoring, and agricultural and forestry detection, and in other neighboring areas. With the continuous progress of various applications of spaceborne synthetic aperture radar, the demand for high spatial resolution and high temporal resolution in both military reconnaissance and civilian monitoring applications is increasing. At present, the resolution of the most advanced microwave photonic radar has reached the centimeter or even millimeter level, but it also poses a great challenge to the design and imaging of the SAR system, such as the contradiction between a high resolution and a wide swath, the bending problem of satellite orbits, poor imaging in real-time, and image recognition difficulties caused by massive data. In view of the above problems, the innovative development of the new system and technology of spaceborne high-resolution SAR will become the focus of this research area.

The focus of this Special Issue is to report the latest high-resolution spaceborne SAR imaging system and the technology behind it. Specifically, this includes (but is not limited to) the research of advanced radar technology, the latest spaceborne SAR imaging theory, target detection and recognition based on spaceborne SAR images, and the acquisition and mining of image target information.

  • Novel spaceborne SAR missions, systems, and techniques;
  • HRWS SAR;
  • SAR satellite networking;
  • Moving target detection and focusing with long synthetic aperture time;
  • Spaceborne SAR interference;
  • Three-dimensional deformation measurement of spaceborne SAR;
  • Microwave photonic SAR imaging and its applications.

Dr. Jianlai Chen
Prof. Dr. Caipin Li
Prof. Dr. Jian Peng
Dr. Yang Lan
Prof. Dr. Mengdao Xing
Guest Editors

Yi Xiong
Guest Editor Assistant
College of Automation, Central South University, Changsha 410083, China
Email: xy639692@163.com
Interests: nonlinear SAR imaging

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

  • new imaging mechanism and theory
  • high-resolution imaging
  • advance radar techniques
  • multi-source data fusion
  • target detection

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Related Special Issue

Published Papers (2 papers)

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Research

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24 pages, 1533 KiB  
Article
Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering
by Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou and Rui Zou
Remote Sens. 2025, 17(5), 840; https://doi.org/10.3390/rs17050840 - 27 Feb 2025
Viewed by 481
Abstract
Change detection for synthetic aperture radar (SAR) images effectively identifies and analyzes changes in the ground surface, demonstrating significant value in applications such as urban planning, natural disaster assessment, and environmental protection. Since speckle noise is an inherent characteristic of SAR images, noise [...] Read more.
Change detection for synthetic aperture radar (SAR) images effectively identifies and analyzes changes in the ground surface, demonstrating significant value in applications such as urban planning, natural disaster assessment, and environmental protection. Since speckle noise is an inherent characteristic of SAR images, noise suppression has always been a challenging problem. At the same time, the existing unsupervised deep learning-based methods relying on the pseudo labels may lead to a low-performance network. These methods are high data-dependent. To this end, we propose a novel unsupervised change detection method based on curvelet fusion and local patch similarity information clustering (CF-LPSICM). Firstly, a curvelet fusion module is designed to utilize the complementary information of different difference images. Different fusion rules are designed for the low-frequency subband, mid-frequency directional subband, and high-frequency subband of curvelet coefficients. Then the proposed local patch similarity information clustering algorithm is used to classify the image pixels to output the final change map. The pixels with similar structures and the weight of spatial information are incorporated into the traditional clustering algorithm in a fuzzy way, which greatly suppresses the speckle noise and enhances the structural information of the changing area. Experimental results and analysis on five datasets verify the effectiveness and robustness of the proposed method. Full article
(This article belongs to the Special Issue Spaceborne High-Resolution SAR Imaging (Second Edition))
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Review

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28 pages, 16484 KiB  
Review
A Review of Spaceborne High-Resolution Spotlight/Sliding Spotlight Mode SAR Imaging
by Baolong Wu, Chengjin Liu and Jianlai Chen
Remote Sens. 2025, 17(1), 38; https://doi.org/10.3390/rs17010038 - 26 Dec 2024
Cited by 1 | Viewed by 1132
Abstract
Spotlight/sliding spotlight modes can achieve higher resolution than the other imaging modes and are widely used in object detection and recognition applications. This paper reviews the progress of the spaceborne spotlight/sliding spotlight SAR imaging field. The three steps of the current spaceborne spotlight/sliding [...] Read more.
Spotlight/sliding spotlight modes can achieve higher resolution than the other imaging modes and are widely used in object detection and recognition applications. This paper reviews the progress of the spaceborne spotlight/sliding spotlight SAR imaging field. The three steps of the current spaceborne spotlight/sliding spotlight SAR imaging algorithm framework are discussed in this paper. These include the following: eliminating the azimuth spectral aliasing by azimuth deramp preprocessing; implementing imaging processing using imaging kernels (RD, CS, RMA, etc.); and degrading the back-folded phenomenon in the final focused image domain by reference function multiplication post-processing. The different imaging kernels, consisting of RD, CS, RMA, BAS, FS, and PFA, are presented. The phase errors in high-resolution spaceborne spotlight/sliding spotlight SAR imaging, especially the stop-and-go error, curved orbit error, and tropospheric delay error, are analyzed in detail. Furthermore, the autofocus methods are described. In addition, some new imaging SAR systems based on spotlight/sliding spotlight SAR mode, which have more advantages than the classic spaceborne spotlight/sliding spotlight SAR imaging, were shown in this paper. These include FMCW-based systems, multichannel systems, varying-PRF systems, and bistatic systems. Full article
(This article belongs to the Special Issue Spaceborne High-Resolution SAR Imaging (Second Edition))
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