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Synthetic Aperture Radar Processing Approach for Simultaneous Target Detection and Image Formation
2018
Sensors
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This approach is based on SAR imagery formation in time domain and human visual saliency detection. ...
Hence, a new SAR processing approach for simultaneous target detection and image formation is proposed in this paper. ...
Therefore, high resolution imaging for the whole reconnaissance scene before target detection is purposeless and unnecessary. ...
doi:10.3390/s18103377
pmid:30308993
pmcid:PMC6211051
fatcat:dz46hq7arfb2dgtpxpduxdi7vm
Target detection in complex scene of SAR image based on existence probability
2016
EURASIP Journal on Advances in Signal Processing
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This study proposes a target detection approach based on the target existence probability in complex scenes of a synthetic aperture radar image. ...
Hence, the proposed approach is self-adapting for complex scenes and the algorithm is substantially suitable for different detection missions as well (e.g. vehicle, ship or aircraft detection in the related ...
This study proposes an existence probability-based approach for the SAR image target detection in a complex scene. ...
doi:10.1186/s13634-016-0413-4
fatcat:vmr4t3hd5fa7va3mz3rh6iceya
Soft Thresholding Attention Network for Adaptive Feature Denoising in SAR Ship Detection
2021
IEEE Access
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Meanwhile, deep learning-based methods have bought new capabilities for ship detection in SAR images on account of high accuracy and robustness. ...
However, several challenges remain to be addressed: 1) the shapes of the ships in SAR images have a relatively extreme aspect ratio comparing to the target objects in the optical images, and 2) complex ...
ACKNOWLEDGMENT
(Rui Wang and Sihan Shao contributed equally to this work.) ...
doi:10.1109/access.2021.3059033
fatcat:ss5j6cnqxnd5hdzsnfjbop5vmq
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection
2022
Remote Sensing
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Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and other fields. ...
In response, for SAR target detection tasks, this paper combines the global contextual information perception of transformers and the local feature representation capabilities of convolutional neural networks ...
Acknowledgments: We would like to thank the anonymous reviewers for their constructive and valuable suggestions on the earlier drafts of this manuscript. ...
doi:10.3390/rs14061488
fatcat:vychv7ewcnh6rhjnqfxpqgurbe
A Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images
2022
Remote Sensing
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Aiming to solve the above problems, a lightweight model for ship detection and recognition in complex-scene SAR images is proposed in this paper. ...
Additionally, there have been few studies on integrated ship detection and recognition in complex SAR images. ...
Acknowledgments: The authors would like to thank the pioneer researchers in SAR ship detection and other related fields.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs14236053
fatcat:zlfwctqbdfcu5kxozrg5j7bho4
Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model
2017
Remote Sensing
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Due to the multiplicative speckle noise and complex backscattering in SAR imagery, producing satisfying results is still challenging. ...
Experimental results with two single-polarization and two multi-polarization SAR images demonstrate that the proposed method has better speckle noise robustness, higher accuracy, and more stability in ...
Tao Tang conducted the preparation of the manuscript and is responsible for the technical support of the manuscript. Weiping Ni, Han Zhang and Wentai Lei helped analyze and discuss the results. ...
doi:10.3390/rs9121290
fatcat:nd2ffpvqjnep3nne45flpwxelu
D-ATR for SAR Images Based on Deep Neural Networks
2019
Remote Sensing
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To recognize targets in large-scene SAR images, the traditional methods of SAR ATR are comprised of four major steps: detection, discrimination, feature extraction, and classification. ...
Experiments on the MSTAR dataset and large-scene SAR images (with resolution 1478 × 1784) show that the proposed method can obtain a high accuracy and fast processing speed, and out-performs other methods ...
target detection and discrimination method coukld detect and discriminate the targets from complex background clutter with a high accuracy and fast speed for high-resolution SAR images, which provides ...
doi:10.3390/rs11080906
fatcat:tyvhdjzpebhpzfdpe356fxbweq
Attention Receptive Pyramid Network for Ship Detection in SAR Images
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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However, due to the influence of various sizes and complex background of ships, detecting multiscale ships in SAR images is still challenging. ...
To evaluate the effectiveness of ARPN, experiments are conducted on SAR Ship Detection Dataset and two large-scene SAR images. ...
With the surge of high-resolution SAR images, CNN-based methods have been applied to ship detection in SAR images. Kang et al. ...
doi:10.1109/jstars.2020.2997081
fatcat:pplmyfehgbfinbvi4dzdh4zf6e
Analysis of the ship target detection in high-resolution SAR images based on information theory and Harris corner detection
2018
EURASIP Journal on Wireless Communications and Networking
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In order to make up the shortcomings of some existing ship target detection algorithms for high-resolution synthetic aperture radar (SAR) images, a ship target detection algorithm based on information ...
theory and Harris corner detection for SAR images is proposed in this paper. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s13638-018-1321-0
fatcat:nrtubcgrrfdgveannqqe2pixtu
Ship target discrimination in SAR images based on BOW model with multiple features and spatial pyramid matching
2020
IEEE Access
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For more information, see https://creativecommons.org/licenses/by/4.0/. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. ...
CONCLUSION This paper proposes a ship target discrimination method based on MF-SPM-BOW model in complex scenes. ...
According to the above analysis, in this paper, we propose a new discrimination method based on the BOW model to deal with SAR ship target discrimination in complex scenes In the local feature extraction ...
doi:10.1109/access.2020.3022642
fatcat:ti2dz7tlh5dvjfiswkbvjzthkm
An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images
2020
Remote Sensing
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With the improvement of image resolution in synthetic aperture radars (SARs), sea clutter characteristics become more complex, which poses new challenges to traditional ship target detection missions. ...
In this paper, to detect ship targets quickly and efficiently in a complex background, we propose an adaptive hierarchical detection method based on a coarse-to-fine mechanism. ...
Compared with existing ship target detection methods in high-resolution SAR images, the proposed method can detect the target while maintaining the CFAR characteristics. ...
doi:10.3390/rs12020303
fatcat:43yqzh246ngvnjxontfotsmxby
Enhanced Feature Extraction for Ship Detection from Multi-Resolution and Multi-Scene Synthetic Aperture Radar (SAR) Images
2019
Remote Sensing
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However, due to the multi-resolution imaging mode and complex background, it is hard for the network to extract representative SAR target features, which limits the ship detection performance. ...
In this paper, experiments on the multi-resolution SAR images of GaoFen-3 and Sentinel-1 under complex backgrounds are carried out and the results verify the effectiveness of SCB and SAB. ...
Through airborne and spaceborne SAR, a large number of high resolution SAR ocean images can be obtained. ...
doi:10.3390/rs11222694
fatcat:nlvmhp2u6vhwtiunrzv3jwd6zm
A Review on Automatic Target Recognition and Detection Approaches for SAR Images
2019
International Journal for Research in Applied Science and Engineering Technology
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Here in this paper discusses the different techniques and approaches for the target recognition and object detection for SAR imaginary and find the common problem face by the researchers during implementation ...
This paper present a comparative or survey study of object detection or target recognition techniques for synthetic aperture radar images. ...
Experiments have been done on these fast target detection for high resolution SAR image schemes to test and show its performance was too complex in previous articles. ...
doi:10.22214/ijraset.2019.4113
fatcat:ap6ctdp56naxjofu7bgzj4jqe4
A Fast and Lightweight Detection Network for Multi-Scale SAR Ship Detection under Complex Backgrounds
2021
Remote Sensing
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In this paper, a fast and lightweight detection network, namely FASC-Net, is proposed for multi-scale SAR ship detection under complex backgrounds. ...
It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under complex backgrounds. ...
For ship detection in high-resolution SAR images, Wei et al. ...
doi:10.3390/rs14010031
fatcat:j37gl3hnrvb75kwqxasauzoyr4
AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Network
[article]
2024
arXiv
pre-print
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Recently, methods based on deep learning have been successfully applied to ship detection for synthetic aperture radar (SAR) images. ...
For that, a novel adaptive multi-hierarchical attention module (AMAM) is proposed to learn multi-scale features and adaptively aggregate salient features from various feature layers, even in complex environments ...
HRSID [61] dataset contains 5604 high-resolution SAR images and 16,951 ship instances. ...
arXiv:2401.13214v1
fatcat:vqm3lw3oandixjs5irlcuoirde
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