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Man-made Object Detection Algorithm of Sonar Image Based on Texture Analysis

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3 Author(s)
Zhong Liu ; Inst. of Electron. Eng., Naval Univ. of Eng., Wuhan ; Xiaodong Tian ; Dechao Zhou

The detection of man-made object in sonar image is one of the crucial problems in the field of underwater detection. Conventional methods based on the intensity of a target echo signal will result in high false alarming rate if a mine-like object such as a rock lying on the seafloor. For the texture difference between man-made objects and natural backgrounds: natural backgrounds have always complicated texture and man-made objects have simple texture and regular shape. The multi-scale fractal theory and Zipf law were adopted to detect man-made objects in sonar image. Simulation results are presented and indicate that the detection performance of this algorithm is satisfied, which provides proper basis for underwater detection and recognition

Published in:

Signal Processing, 2006 8th International Conference on  (Volume:4 )

Date of Conference:

16-20 2006