合成孔径声纳图像阴影增强方法研究

doi:10.3969/j.issn.1000-1093.2015.02.017

兵工学报 ›› 2015, Vol. 36 ›› Issue (2): 305-312.doi: 10.3969/j.issn.1000-1093.2015.02.017

合成孔径声纳图像阴影增强方法研究

张鹏飞, 刘维, 江泽林, 刘纪元, 张春华

(中国科学院声学研究所北京 100190)

收稿日期:2014-06-04 修回日期:2014-06-04 上线日期:2015-04-07
作者简介:张鹏飞(1989—)，男，博士研究生
基金资助:
国家自然科学基金项目(11204343); 哈尔滨工程大学水下机器人技术重点实验室基金项目(9140C27020112022601)

Research on Shadow Enhancement for Synthetic Aperture Sonar Images

ZHANG Peng-fei, LIU Wei, JIANG Ze-lin, LIU Ji-yuan, ZHANG Chun-hua

(Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190， China)

Received:2014-06-04 Revised:2014-06-04 Online:2015-04-07

摘要/Abstract

摘要： 合成孔径声纳成像时，需要从不同位置采集目标的回波，从而造成目标的阴影被模糊。传统的声纳图像增强方法没有利用合成孔径声纳的成像机理，难以对阴影进行有效增强。从合成孔径声纳信号处理的角度，给出了固定焦距阴影增强（FFSE）算法的严格证明过程，导出了不同变换域下阴影增强的处理方式。对于多子阵合成孔径声纳，使用不均匀分离快速傅里叶变换（NSFFT）消除方位向的不均匀采样，然后在距离多普勒域进行阴影增强。分别对海上试验和湖上试验的数据进行了分析。处理结果表明，该方法能够显著增强合成孔径声纳图像的阴影，具有较强的实用价值，对于后续的图像分割和目标识别具有重要意义。

关键词: 信息处理技术, 合成孔径声纳, 阴影增强, 不均匀采样, 目标识别

Abstract: Synthetic aperture sonar needs to collect the echoes from a target at different locations, which blurs the contour of shadow cast of targets. The conventional methods cannot obtain good effects because of lack in exploitation of synthetic aperture principle. A rigorous derivation of fixed focus shadow enhancement (FFSE) algorithm is presented, and time domain, frequency domain and range-Doppler domain are conducted. For synthetic aperture sonars, many receivers are used to increase efficiency. Non-uniform fast Fourier transform (NSFFT) is used to eliminate non-uniform sampling in azimuth direction, and then shadow enhancement can be applied in range-Doppler domain. The method is applied to lake-trial data set and sea-trial data set. Results show that the shadows of objects are enhanced evidently, which is great significance to image segmentation and target identification.

Key words: information processing, synthetic aperture sonar, shadow enhancement, non-uniform sampling, target recognition

中图分类号:

TB566

张鹏飞, 刘维, 江泽林, 刘纪元, 张春华. 合成孔径声纳图像阴影增强方法研究[J]. 兵工学报, 2015, 36(2): 305-312.

ZHANG Peng-fei, LIU Wei, JIANG Ze-lin, LIU Ji-yuan, ZHANG Chun-hua. Research on Shadow Enhancement for Synthetic Aperture Sonar Images[J]. Acta Armamentarii, 2015, 36(2): 305-312.

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合成孔径声纳图像阴影增强方法研究

Research on Shadow Enhancement for Synthetic Aperture Sonar Images

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