Segmentation of small vehicle targets in SAR images

Elmehdi Aitnouri; Shengrui Wang; Djemel Ziou

doi:10.1117/12.477040

25 July 2002 Segmentation of small vehicle targets in SAR images

Elmehdi Aitnouri, Shengrui Wang, Djemel Ziou

Proceedings Volume 4726, Automatic Target Recognition XII; (2002) https://doi.org/10.1117/12.477040
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Elmehdi Aitnouri, Shengrui Wang, and Djemel Ziou "Segmentation of small vehicle targets in SAR images", Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); https://doi.org/10.1117/12.477040

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