A Novel Multi-Angle SAR Imaging System and Method Based on an Ultrahigh Speed Platform

Chang, Wen‐Shao; Tao, Haihong; Sun, Guang-Cai; Wang, Yuqi; Bao, Zheng

doi:10.3390/s19071701

Cited by 3 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The works in [1][2][3][4][5][6] concern several aspects of the SAR imaging. In [1], the authors propose a multi-angle SAR imaging system suited for an ultrahigh speed platform and based on multi-beamforming. By acquiring images at different angles during the same flight, the system allows better characterization of the target on the ground, as well as a simplified motion error compensation.…”

Section: Sar Imagingmentioning

confidence: 99%

Special Issue “Synthetic Aperture Radar (SAR) Techniques and Applications”

Bovenga

2020

Sensors

View full text Add to dashboard Cite

This editorial of the special issue titled “Synthetic Aperture Radar (SAR) Techniques and Applications”, reviews the nineteen papers selected for publication. The proposed studies investigate different aspects of SAR processing including signal modelling, simulation, image analysis, as well as some examples of applications. The papers are grouped according to homogeneous subjects, then objectives and methods are summarised, and the more relevant results are commented.

show abstract

Section: Sar Imagingmentioning

confidence: 99%

Special Issue “Synthetic Aperture Radar (SAR) Techniques and Applications”

Bovenga

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…SAR sensors actively emit pulse radar signals and can provide high-resolution images, unrestricted by weather or lighting conditions, through echo signal processing [1,2]. With the rapid development of the marine economy and navigation technology, SAR image ship target detection has become increasingly important in maritime traffic management [3] and sea rescue [4].…”

Section: Introductionmentioning

confidence: 99%

CViTF-Net: A Convolutional and Visual Transformer Fusion Network for Small Ship Target Detection in Synthetic Aperture Radar Images

Huang,

Liu,

Chen

2023

Remote Sensing

View full text Add to dashboard Cite

Detecting small ship targets in large-scale synthetic aperture radar (SAR) images with complex backgrounds is challenging. This difficulty arises due to indistinct visual features and noise interference. To address these issues, we propose a novel two-stage detector, namely a convolutional and visual transformer fusion network (CViTF-Net), and enhance its detection performance through three innovative modules. Firstly, we designed a pyramid structured CViT backbone. This design leverages convolutional blocks to extract low-level and local features, while utilizing transformer blocks to capture inter-object dependencies over larger image regions. As a result, the CViT backbone adeptly integrates local and global information to bolster the feature representation capacity of targets. Subsequently, we proposed the Gaussian prior discrepancy (GPD) assigner. This assigner employs the discrepancy of Gaussian distributions in two dimensions to assess the degree of matching between priors and ground truth values, thus refining the discriminative criteria for positive and negative samples. Lastly, we designed the level synchronized attention mechanism (LSAM). This mechanism simultaneously considers information from multiple layers in region of interest (RoI) feature maps, and adaptively adjusts the weights of diverse regions within the final RoI. As a result, it enhances the capability to capture both target details and contextual information. We achieved the highest comprehensive evaluation results for the public LS-SSDD-v1.0 dataset, with an mAP of 79.7% and an F1 of 80.8%. In addition, the robustness of the CViTF-Net was validated using the public SSDD dataset. Visualization of the experimental results indicated that CViTF-Net can effectively enhance the detection performance for small ship targets in complex scenes.

show abstract

“…However, target identification for the MMW seeker is very difficult under land backgrounds, especially under complex backgrounds. Moreover, for the MMW seeker with strict limitations of the non-deviation flight trajectory, it is unable to image the target in two dimensionalities as synthetic aperture radar (SAR) [4,5,6]. That is to say, for small range tactical missiles, one has to realize target identification just by using the high-resolution range profile (HRRP) in the range direction [7,8,9].…”

Section: Introductionmentioning

confidence: 99%

A Target Identification Method for the Millimeter Wave Seeker via Correlation Matching and Beam Pointing

Chen

Liu

et al. 2019

Sensors

View full text Add to dashboard Cite

Target identification is a challenging task under land backgrounds for the millimeter wave (MMW) seeker, especially under complex backgrounds. Focusing on the problem, an effective method combining correlation matching and beam pointing is proposed in this paper. In the beginning, seeker scanning for target detection is conducted in two rounds, and target information of the detected targets is stored for correlation matching. Point or body feature judgment is implemented by using high resolution range profile (HRRP). Then, the error distribution zone is constructed with the beam pointing as the origin. In the end, we identify the target by searching the one which lies in the closest error distribution from the beam pointing center. The effectiveness of the proposed method is verified by using mooring test-fly and real flight data.

show abstract

A Novel Multi-Angle SAR Imaging System and Method Based on an Ultrahigh Speed Platform

Cited by 3 publications

References 15 publications

Special Issue “Synthetic Aperture Radar (SAR) Techniques and Applications”

Special Issue “Synthetic Aperture Radar (SAR) Techniques and Applications”

CViTF-Net: A Convolutional and Visual Transformer Fusion Network for Small Ship Target Detection in Synthetic Aperture Radar Images

A Target Identification Method for the Millimeter Wave Seeker via Correlation Matching and Beam Pointing

Contact Info

Product

Resources

About