Research on Shadow Enhancement for Synthetic Aperture Sonar Images

doi:10.3969/j.issn.1000-1093.2015.02.017

Abstract

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

CLC Number:

TB566

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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