[1]姜科,王忠康.基于成像声纳的水面小型移动目标检测方法[J].探测与控制学报,2021,43(03):36.[doi:.]
 JIANG Ke,WANG Zhongkang.Water Surface Small Moving Target Detection Based on Imaging Sonar[J].,2021,43(03):36.[doi:.]
点击复制

基于成像声纳的水面小型移动目标检测方法()
分享到:

《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
43
期数:
2021年03
页码:
36
栏目:
出版日期:
2021-08-01

文章信息/Info

Title:
Water Surface Small Moving Target Detection Based on Imaging Sonar
文章编号:
TB566文献标识码:A文章编号:1008-1194(2021)03-0036-06
作者:
姜科王忠康
杭州应用声学研究所,浙江 杭州 310018
Author(s):
JIANG Ke WANG Zhongkang
Hangzhou Applied Acoustics Research Institute, China Shipbuilding Industry Corporation, Zhe’jiang 310018, China
关键词:
水面运动目标恒虚警检测聚类多普勒尾迹特征
Keywords:
water surface moving target constant false alarm detection clustering Doppler wake feature
分类号:
TB566
DOI:
.
文献标志码:
A
摘要:
针对水面运动目标测量定位时,常规方法忽略了尾迹的影响或者考虑尾迹的形状特征不具有共性,使得位置估计值远远偏离真实位置的问题,提出基于成像声纳的水面小型移动目标检测方法。该方法将成像声纳图像做恒虚警检测处理,通过聚类分析将检测到的目标像素点进行聚类,把每一个聚类当做是一个目标,同时实现目标数目估计,在此基础上融合目标回波的多普勒信息确定运动目标,实现水面运动目标的检测;并根据水面运动目标的尾迹特征对目标像素进行处理,以减小目标定位误差。仿真实验结果表明,该方法大大减小了定位误差。
Abstract:
When measuring and positioning water surface moving targets, conventional methods usually ignore the influence of wakes, or consider that the shape characteristics of the wakes do not have commonality, which makes the position estimates far deviate from the true position. To solve the above problem, an imaging sonar-based detection method of water surface small moving targets was proposed. The method first performed the constant false alarm detection processing on the imaging sonar image, and clustered the detected target pixels through clustering analysis, and clustered each pixel. One class was regarded as a target. on this basis, the Doppler information of the target echo and the wake characteristics of the surface moving target were combined to detect the water surface moving target. The experimental data on the lake was used for verification, and good results were obtained.

参考文献/References:

[1]Imen K, Isabelle Q, Michel L.Automatic sea-surface obstacle detection and tracking in forward-looking sonar image sequences[J].IEEE Transaction on Geoscience and Remote Sensing, 2015:1-9.
[2]Fillinger L, Sutin A, Sedunov A.Acoustic ship signature measurements by cross-correlation method[J].Journal of the Acoustical Society of America, 2011, 129(2):774-8.
[3]Ogden G L, Zurk L M, Jones M E, et al.Extraction of small boat harmonic signatures from passive sonar[J].The Journal of the Acoustical Society of America, 2011, 129(6):3768-3776.
[4]Trevorrow M V, Vagle S, Farmer D M.Acoustical measurements of microbubbles within ship wakes[J].Journal of the Acoustical Society of America, 1994, 95(4):1422 - 1426.
[5]Vagle S, Burch H.Acoustic measurements of the sound-speed profile in the bubbly wake formed by a small motor boat[J].Journal of the Acoustical Society of America, 2005, 117(1):153-163.
[6]Lo K W, Ferguson B G.Automatic detection and tracking of a small surface watercraft in shallow water using a high-frequency active sonar[J].IEEE Transactions on Aerospace and Electronic Systems, 2004, 40(4):1377-1388.
[7]Jeong S, Ban S W, Choi S, et al.Surface ship-wake detection using active sonar and one-class support vector machine[J].IEEE Journal of Oceanic Engineering, 2012, 37(3):456-466.
[8]刘立昕. 成像声纳目标检测与跟踪技术研究[D]. 哈尔滨:哈尔滨工程大学,2015.
[9]刘玉婷, 席庆彪, 刘慧霞.一种基于帧间差的快速UAV运动目标检测方法[J].计算机仿真,2014,31(7):36-40.
[10]姜科.前视声纳动静目标分离及其后置处理技术的研究[D].北京:中国舰船研究院,2020.
[11]Lank G W, Reed I S, Pollon G E.A semicoherent detection and doppler estimation statistic[J].IEEE Transactions on Aerospace and Electronic Systems, 2007, AES-9(2):151-165.
[12]Ester M, Kriegel H P, Sander J, et al.A density-based algorithm for discovering clusters in large spatial databases with noise[C]//Processdings of the Second International Conference on Knowledge Discovery in Database Data Mining. Portland, OR:AAAI Press, 1996:226-231.

备注/Memo

备注/Memo:
收稿日期:2021-02-02
作者简介:姜科(1995—),男,浙江龙游人,硕士。
更新日期/Last Update: 2021-08-04