A Statistically-Based Method for the Detection of Underwater Objects in Sonar Imagery

Avi Abu; Roee Diamant

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A Statistically-Based Method for the Detection of Underwater Objects in Sonar Imagery

机译：基于统计的声纳图像水下物体检测方法

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摘要

We offer a new unsupervised statistically-based algorithm for the detection of underwater objects in synthetic aperture sonar (SAS) imagery due to its high-resolution imagery and because its resolution is independent of the range. In contrast to other met

机译：由于合成孔径声纳（SAS）的高分辨率图像，并且分辨率不受范围限制，因此我们提供了一种新的基于统计的无监督算法来检测水下物体。与其他相遇

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来源
《IEEE sensors journal》 |2019年第16期|6858-6871|共14页
作者
Avi Abu; Roee Diamant;
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作者单位

Department of Marine Technologies School of Marine Sciences University of Haifa Haifa Israel;

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原文格式 PDF
正文语种 eng
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关键词
Sonar detection; Synthetic aperture sonar; Feature extraction; Detectors; Object detection; Image segmentation;

机译：声纳检测;合成孔径声纳;特征提取;探测器;对象检测;图像分割;

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专利

1. A prior-knowledge-based threshold segmentation method of forward-looking sonar images for underwater linear object detection [J] . Liu Lixin, Bian Hongyu, Yagi Shin-ichi, Japanese journal of applied physics . 2016,第7S1期

机译：一种基于知识的前瞻声纳图像阈值分割方法，用于水下线性物体检测
2. A Brain–Computer Interface (BCI) for the Detection of Mine-Like Objects in Sidescan Sonar Imagery [J] . Barngrover Christopher, Althoff Alric, DeGuzman Paul, Oceanic Engineering, IEEE Journal of . 2016,第1期

机译：脑计算机接口（BCI），用于检测侧扫声纳图像中的类雷物体
3. Active learning for detection of mine-like objects in side-scan sonar imagery [J] . Dura E., Yan Zhang, Xuejun Liao, IEEE Journal of Oceanic Engineering . 2005,第2期

机译：主动学习以检测侧面扫描声纳图像中的类地雷物体
4. Coherent-Based Method for Detection of Underwater Objects from Sonar Imagery [C] . James D. Tucker, Mahmood R. Azimi-Sadjadi, Gerry J. Dobeck Detection and Remediation Technologies for Mines and Minelike Targets XII; Proceedings of SPIE-The International Society for Optical Engineering; vol.6553 . 2007

机译：基于相干的声纳图像水下物体检测方法
5. Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery. [D] . Kopacz, Justin. 2014

机译：最佳词典学习及其在合成孔径声纳图像中的水下目标检测中的应用。
6. Multiple Receptive Field Network (MRF-Net) for Autonomous Underwater Vehicle Fishing Net Detection Using Forward-Looking Sonar Images [O] . Rixia Qin, Xiaohong Zhao, Wenbo Zhu, 2021

机译：使用前瞻性声纳图像的自主水下车辆捕鱼网检测多次接收现场网络（MRF-Net）
7. Underwater Cylindrical Object Detection Using the Spectral Features of Active Sonar Signals with Logistic Regression Models [O] . Yoojeong Seo, Baeksan On, Sungbin Im, 2018

机译：基于Logistic回归模型的主动声纳信号光谱特征水下圆柱目标检测
8. Automated Detection and Classification in High-Resolution Sonar Imagery for Autonomous Underwater Vehicle Operations [R] . Chapple, P. 2008

机译：用于自主水下航行器操作的高分辨率声纳图像的自动检测和分类

A Statistically-Based Method for the Detection of Underwater Objects in Sonar Imagery

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