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Electronics
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Advanced Applications with SAR/PolSAR Images in Earth Observation Task
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Advanced Applications with SAR/PolSAR Images in Earth Observation Task

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 4051

Special Issue Editors

Prof. Dr. Deliang Xiang

E-Mail Website
Guest Editor
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Interests: SAR target detection and recognition; SAR image registration; PolSAR data interpretation
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Zhang

E-Mail Website
Guest Editor
School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: SAR/PolSAR image processing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Sinong Quan

E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: radar polarimetric information processing; feature extraction and target detection; SAR recognition and countermeasure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, synthetic aperture radar (SAR) technology has become one of the most important technologies in spaceborne microwave remote sensing, because it can operate during all weather conditions as well as at any time of day. Remote sensing data and images result from complex interactions of electromagnetic (EM) waves with natural media, such as terrain surfaces, the atmosphere, and oceans. Now, due to the development of hardware technology, humans can obtain large amounts of SAR data. These data/images present rich sources for the quantitative description and monitoring of our Earth’s environments. Compared to the traditional single-polarization SAR, the polarimetric SAR (PolSAR) contains more polarimetric information regarding scenes, which can further allow us to understand the characteristics of scenes more effectively. However, information retrieval from PolSAR images requires a full understanding of the polarimetric scattering mechanism and SAR imaging principles. The study of EM wave scattering for remote sensing applications, especially for PolSAR technology, has also become an active and interdisciplinary area. This Special Issue aims to achieve Earth observation with SAR/PolSAR data, which requires high-quality results in SAR/PolSAR applications. Topics include but are not limited to the following:

  • SAR/PolSAR terrain classification;
  • SAR/PolSAR object detection and recognition;
  • SAR/PolSAR change detection;
  • Radar polarimetric theory;
  • SAR/PolSAR time-series image analysis;
  • SAR/PolSAR image interpretation;
  • SAR/PolSAR denoising;
  • Deep-learning-based SAR/PolSAR processing.

Prof. Dr. Deliang Xiang
Dr. Tao Zhang
Dr. Sinong Quan
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. Electronics 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 2400 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

  • SAR/PolSAR terrain classification
  • SAR/PolSAR object detection and recognition
  • SAR/PolSAR change detection
  • radar polarimetric theory
  • SAR/PolSAR time-series image analysis
  • SAR/PolSAR image interpretation
  • SAR/PolSAR denoising
  • deep-learning-based SAR/PolSAR processing

Published Papers (3 papers)

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Research

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11 pages, 4539 KiB  
Article
Ship Detection in Spaceborne SAR Images under Radio Interference Environment Based on CFAR
by Bengteng Ma, Huizhang Yang and Jian Yang
Electronics 2022, 11(24), 4135; https://doi.org/10.3390/electronics11244135 - 12 Dec 2022
Cited by 2 | Viewed by 1261
Abstract
Spaceborne synthetic aperture radar (SAR) can be easily interfered with by narrowband radio frequency interference (RFI) from ground radiation sources, causing significant degradation of image quality. In the application of SAR ship detection, the radio interference will raise the detection threshold of a [...] Read more.
Spaceborne synthetic aperture radar (SAR) can be easily interfered with by narrowband radio frequency interference (RFI) from ground radiation sources, causing significant degradation of image quality. In the application of SAR ship detection, the radio interference will raise the detection threshold of a constant false alarm rate (CFAR) detector, and consequently results in the degradation of detection performance. In order to solve this problem, we propose a ship-detection method for SAR under a narrowband RFI environment. The proposed method is mainly divided into five steps: (1) transform the input SAR image with narrowband RFI into 2-D frequency domain by fast Fourier transform (FFT); (2) use CFAR detector to detect RFI in 2-D frequency domain; (3) suppress RFI data points using adaptively weighting in the 2-D frequency domain; (4) transform the RFI suppressed 2-D spectrum into the image domain via inverse FFT; (5) apply CFAR detector for ship detection. Simulation and real data experiments show that the proposed method can effectively detect ships from SAR images with ocean background even if there exists serious RFI. Full article
(This article belongs to the Special Issue Advanced Applications with SAR/PolSAR Images in Earth Observation Task)
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11 pages, 5742 KiB  
Communication
SAR Image Reconstruction of Vehicle Targets Based on Tensor Decomposition
by Tao Tang and Gangyao Kuang
Electronics 2022, 11(18), 2859; https://doi.org/10.3390/electronics11182859 - 9 Sep 2022
Cited by 2 | Viewed by 1067
Abstract
Due to the imaging mechanism of Synthetic Aperture Radars (SARs), the target shape on an SAR image is sensitive to the radar incidence angle and target azimuth, but there is strong correlation and redundancy between adjacent azimuth images of SAR targets. This paper [...] Read more.
Due to the imaging mechanism of Synthetic Aperture Radars (SARs), the target shape on an SAR image is sensitive to the radar incidence angle and target azimuth, but there is strong correlation and redundancy between adjacent azimuth images of SAR targets. This paper studies multi-angle SAR image reconstruction based on non-negative Tucker decomposition using adjacent azimuth images reconstructed to form a sparse tensor. Sparse tensors are used to perform non-negative Tucker decomposition, resulting in non-negative core tensors and factor matrices. The reconstruction tensor is obtained by calculating the n-mode product of the core tensor and the factor matrix, and then image reconstruction is realized. The similarity between the original image and the reconstructed image is calculated by using the structural similarity index and the cosine of the angle between the feature vectors. The reconstruction results of three target images of MSTAR show that the reconstructed image has a similarity higher than 95% with the original image in most cases, which can support target recognition under sparse observation to a certain extent. Full article
(This article belongs to the Special Issue Advanced Applications with SAR/PolSAR Images in Earth Observation Task)
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Other

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8 pages, 2262 KiB  
Brief Report
Time-Varying Reflectivity Modulation on Inverse Synthetic Aperture Radar Image Using Active Frequency Selective Surface
by Yong Xu, Ran Sui, Junjie Wang and Dejun Feng
Electronics 2022, 11(20), 3318; https://doi.org/10.3390/electronics11203318 - 14 Oct 2022
Viewed by 1099
Abstract
Interrupted-sampling repeater modulation (ISRM) can generate multiple virtual target images by sampling and forwarding radar signals to confront the inverse synthetic aperture radar (ISAR). However, the repeating delay is unavoidable and the system is complex. Moreover, numerous works mainly discuss the ISAR image [...] Read more.
Interrupted-sampling repeater modulation (ISRM) can generate multiple virtual target images by sampling and forwarding radar signals to confront the inverse synthetic aperture radar (ISAR). However, the repeating delay is unavoidable and the system is complex. Moreover, numerous works mainly discuss the ISAR image deception based on periodic modulation, and the modulation effect is relatively limited. Active frequency selective surface (AFSS) can perform intermittent amplitude modulation to the reflected signal by varying target reflectivity, thus, it can achieve the function of ISRM. In this paper, the possibility of AFSS applied in the multiple virtual target generation is discussed, and an ISAR image-modulation method is proposed. The radar signal is periodically modulated by varying target reflectivity, which is accomplished by the AFSS-loaded PIN diodes. On this basis, the AFSS modulating frequency is randomly varied in a slow time domain. When the modulation signal is processed by the ISAR system, the produced target image is unfocused and cannot be recognized by radar. Simulation results are utilized to demonstrate the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Advanced Applications with SAR/PolSAR Images in Earth Observation Task)
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