An automatic targets detection method from SAS images based on mean-standard deviation

Abstract

Targets detection is important for the analysis of Synthetic Aperture Sonar (SAS) images. An automatic targets detection method from SAS images is presented by analyzing the statistical properties of the images. The method mainly has three procedures: preprocessing of SAS images, especially the mean-standard deviation segmentation method to binarize the images, extracting areas of connected components in the binary images as features, maximum area of connected components method detecting. At last, the targets detection method based on mean-standard deviation is applied to lake-trial datasets for validation.