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Proceedings Paper

Segmentation of small vehicle targets in SAR images
Author(s): Elmehdi Aitnouri; Shengrui Wang; Djemel Ziou
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Paper Abstract

This paper presents an algorithm for automatic segmentation of small vehicle targets in MSTAR images. The segmenter is based on a histogram threshold technique and is able to detect both target vehicles and their shadows, and it is divided into three parts. First, the main component of the pre-processing part is a morphological closing filtering which decreases the intensity of speckle in images. The second part of the segmenter performs a histogram threshold operation. It is built around the use of the EFC-based model selection algorithm to estimate an image histogram with a mixture of normal densities, and a new method to compute thresholds. In this paper, we introduce a new linear method for computing multi-level thresholds from a mixture of normal densities. The post-processing operation is performed in order to remove any small detected artefacts other than targets of interest.

Paper Details

Date Published: 25 July 2002
PDF: 11 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477040
Show Author Affiliations
Elmehdi Aitnouri, Univ. of Sherbrooke (Canada)
Shengrui Wang, Univ. of Sherbrooke (Canada)
Djemel Ziou, Univ. of Sherbrooke (Canada)

Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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