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An Adaptive Sample Assignment Strategy Based on Feature Enhancement for Ship Detection in SAR Images

Hao Shi, Zhonghao Fang, Yupei Wang, Liang Chen
2022 Remote Sensing  
Recently, ship detection in synthetic aperture radar (SAR) images has received extensive attention.  ...  In this paper, an adaptive sample assignment (ASA) strategy is proposed to select high-quality positive samples according to the spatial alignment and the knowledge learned from the regression and classification  ...  Conclusions In this article, we first analyze the shortcomings of the original label assignment strategy based on the IoU between anchor boxes and ground-truth objects in SAR images and propose the adaptive  ... 
doi:10.3390/rs14092238 fatcat:eb42cvyg2venpc3zd4eo3yneuy

A Scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images

Linbo Tang, Wei Tang, Xin Qu, Yuqi Han, Wenzheng Wang, Baojun Zhao
2022 Remote Sensing  
Over the past few years, CNN-based detectors have advanced sharply in SAR object detection.  ...  Multi-scale object detection within Synthetic Aperture Radar (SAR) images has become a research hotspot in SAR image interpretation.  ...  Data Availability Statement: Publicly available datasets were used in this study. SSDD datasets can be found here:  ... 
doi:10.3390/rs14040973 fatcat:oixxshz37jhktilee7r4alc6aq

Inshore Ship Detection in Large-Scale SAR Images Based on Saliency Enhancement and Bhattacharyya-like Distance

Jianda Cheng, Deliang Xiang, Jiaxin Tang, Yanpeng Zheng, Dongdong Guan, Bin Du
2022 Remote Sensing  
We embed the DoAP into the BLD-based detection framework to detect inshore ships in large-scale SAR images.  ...  While the detection of offshore ships in synthetic aperture radar (SAR) images has been widely studied, inshore ship detection remains a challenging task.  ...  Acknowledgments: The authors would like to thank the Aerospace Information Research Institute of the Chinese Academy of Sciences for providing the Large-Scale SAR Ship Detection Dataset-v1.0 (LS-SSDD-v1.0  ... 
doi:10.3390/rs14122832 fatcat:2bjgctnefzcihpjmyunpmvpl5i

Oriented Ship Detector for Remote Sensing Imagery Based on Pairwise Branch Detection Head and SAR Feature Enhancement

Bokun He, Qingyi Zhang, Ming Tong, Chu He
2022 Remote Sensing  
of synthetic aperture radar (SAR), we propose an oriented ship detector based on the pairwise branch detection head and adaptive SAR feature enhancement.  ...  Recently, object detection in natural images has made a breakthrough, but it is still challenging in oriented ship detection for remote sensing imagery.  ...  Conclusions In this article, we proposed an accurate ORP-Det for RSI ship detection and a powerful SEE module for SAR images' enhancement.  ... 
doi:10.3390/rs14092177 fatcat:eyzlemgztrhmddqcvtyuvetla4

Adaptive Superpixel Segmentation of Marine SAR Images by Aggregating Fisher Vectors

Xueqian Wang, You He, Gang Li, Antonio Plaza
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this article, we develop a new superpixel segmentation approach and investigate its application on ship target detection in marine synthetic aperture radar (SAR) images.  ...  Superpixel segmentation is an important technique for image analysis.  ...  ACKNOWLEDGMENT The authors would like to thank the Associate Editor and anonymous reviewers for their helpful suggestions, which improved the quality of this article.  ... 
doi:10.1109/jstars.2021.3051301 fatcat:x2wh6f74grbano33soxa4s7gcy

Deep Learning for SAR Ship Detection: Past, Present and Future

Jianwei Li, Congan Xu, Hang Su, Long Gao, Taoyang Wang
2022 Remote Sensing  
As a result, it is also used to detect ships in SAR images.  ...  Since then, lots of researchers focus their attention on this field. In this paper, we analyze the past, present, and future of the deep learning-based ship detection algorithms in SAR images.  ...  An et al. [41] proposed DR-Box-v2 to detect ships in SAR images. A multi-layer anchor box generation strategy for detecting small ships is proposed.  ... 
doi:10.3390/rs14112712 fatcat:dbd6a4ugwjc65pook3wpcuj52a

R2FA-Det: Delving into High-Quality Rotatable Boxes for Ship Detection in SAR Images

Shiqi Chen, Jun Zhang, Ronghui Zhan
2020 Remote Sensing  
Recently, convolutional neural network (CNN)-based methods have been extensively explored for ship detection in synthetic aperture radar (SAR) images due to their powerful feature representation abilities  ...  Extensive experimental validations on two SAR ship datasets are performed and the results demonstrate that our algorithm has higher accuracy with faster speed than some state-of-the-art methods.  ...  Acknowledgments: The authors would like to thank the teachers and students in the Science and Technology on Automatic Target Recognition Laboratory, and the National University of Defense Technology, for  ... 
doi:10.3390/rs12122031 fatcat:bapcpwgf6zh3rgtpbiddnsnv3q

Multi-Scale Ship Detection from SAR and Optical Imagery via A More Accurate YOLOv3

Zhonghua Hong, Ting Yang, Xiaohua Tong, Yun Zhang, Shenlu Jiang, Ruyan Zhou, Yanling Han, Jing Wang, Shuhu Yang, Sicong Liu
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Thus, we propose a new improvement on the 'You Only Look Once' version 3 (YOLOv3) framework for ship detection in marine surveillance, based on synthetic aperture radar (SAR) and optical imagery.  ...  In addition, existing ship detection methods rarely verify the robustness of their algorithms on multi-sensor images.  ...  In general, there are fewer reports of ship detection based on optical images than there are those based on SAR images. Bi et al.  ... 
doi:10.1109/jstars.2021.3087555 fatcat:6xsn6bzqt5dhjimzq5crgxbbze

Attention Receptive Pyramid Network for Ship Detection in SAR Images

YAN ZHAO, Lingjun Zhao, Boli Xiong, Gangyao Kuang
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
To evaluate the effectiveness of ARPN, experiments are conducted on SAR Ship Detection Dataset and two large-scene SAR images.  ...  ARPN is a two-stage detector and designed to improve the performance of detecting multiscale ships in SAR images by enhancing the relationships among nonlocal features and refining information at different  ...  In this field, an important branch is ship detection in SAR images.  ... 
doi:10.1109/jstars.2020.2997081 fatcat:pplmyfehgbfinbvi4dzdh4zf6e


Tingpeng Li, Hua Zhong, Meng Yang
2020 Progress In Electromagnetics Research Letters  
Second, each pixel in the filtered image is assigned to its corresponding super-pixel region via an adaptation of optimization technique.  ...  This paper presents a hierarchical saliency detector for ship detection in synthetic aperture radar (SAR) imagery.  ...  Experiment results on real SAR images demonstrate the effectiveness of the proposed algorithm. ACKNOWLEDGMENT Figure 1 . 1 Processing strategy for ship detection in SAR images.  ... 
doi:10.2528/pierl20030405 fatcat:g26pfl7xrzh53cqoq6qsx4fiv4

Research Review on Marine Search and Rescue

CHEN Xinqiang, SHI Chaojian, WANG Shengzheng, WU Huafeng, XU Tie, KE Ruimin
2017 Journal of Shipping and Ocean Engineering  
Locating the marine target in a quick and precise way is the crucial point of implementing SAR (search and rescue) at sea, which involves aspects of developing SAR strategy and detects the marine targets  ...  As the effect of marine target detection restricts the SAR result directly, the study has focused on reviewing the previous research about marine target detection, especially dim marine target detection  ...  The method distinguished sea-sky-line and wave based on marine image characteristics. The Gabor wavelet was used to enhance feature of marine weak target so as to perfect detection ability.  ... 
doi:10.17265/2159-5879/2017.03.004 fatcat:tnwnqx6ahfgbdagvsu6bjfrxfq

MSR2N: Multi-Stage Rotational Region Based Network for Arbitrary-Oriented Ship Detection in SAR Images

Zhenru Pan, Rong Yang, And Zhimin Zhang
2020 Sensors  
With the above characteristics, MSR2N is more suitable and robust for ship detection in SAR images.  ...  In synthetic aperture radar (SAR) images, ships are often arbitrary-oriented and densely arranged in complex backgrounds, posing enormous challenges for ship detection.  ...  Though many CNN-based methods have been proposed for SAR ship detection, they still encounter bottlenecks on the following issues: (1) Quite different from natural images, in SAR images, strip-like ships  ... 
doi:10.3390/s20082340 pmid:32325991 pmcid:PMC7219256 fatcat:xdqlt23d4vb3zc5brydy2asxv4

High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network

Tianwen Zhang, Xiaoling Zhang
2019 Remote Sensing  
In order to solve this problem, this paper proposes a novel approach for high-speed ship detection in SAR images based on a grid convolutional neural network (G-CNN).  ...  Ship detection in SAR images is also playing an increasingly important role in ocean observation and disaster relief.  ...  We thank Canadian Space Agency (CSA) and China National Space Administration (CNSA) for providing SAR images.  ... 
doi:10.3390/rs11101206 fatcat:zdkouyhjwfgztdzefyqfb2vjnm

A complete processing chain for ship detection using optical satellite imagery

Christina Corbane, Laurent Najman, Emilien Pecoul, Laurent Demagistri, Michel Petit
2010 International Journal of Remote Sensing  
The authors acknowledge SEAS-GUYANE Project for the valuable support.  ...  Several papers in the open literature treat methods for the detection of ship targets on SAR data.  ...  Compared to the large amount of investigations on the feasibility of satellite-based SAR for ship detection purposes, far less research and development activity has taken place in automatic detection and  ... 
doi:10.1080/01431161.2010.512310 fatcat:3jyihmoj55e6vllasz2jqrjgsm

Learning Slimming SAR Ship Object Detector through Network Pruning and Knowledge Distillation

Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Finally, extensive experiments are conducted on SSDD, HRSID, and two large-scene SAR images to verify the effectiveness of the thinner SAR ship object detector in comparison of with other CNN-based algorithms  ...  feature for enhanced representation.  ...  [13] also proposed an anchor-free detector and introduced the spatial shuffle-group enhance attention module for detection in large-scale SAR images. Besides, Wei et al.  ... 
doi:10.1109/jstars.2020.3041783 fatcat:e4cnohcfq5eu5nsg6ke6feidoi
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