Urban scene analysis from SAR image sequences

R. D. Hill; C. P. Moate; D. Blacknell

doi:10.1117/12.664418

3 May 2006 Urban scene analysis from SAR image sequences

R. D. Hill, C. P. Moate, D. Blacknell

Proceedings Volume 6237, Algorithms for Synthetic Aperture Radar Imagery XIII; 623702 (2006) https://doi.org/10.1117/12.664418
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper considers the problem of target delineation in SAR images. A novel technique involving multiple active contours evolving simultaneously is developed and tested using real radar data. In particular, a technique referred to as multiple hypothesis delineation, in which contours can be in several states simultaneously, is developed and shown to lead to considerable improvement in convergence time and delineation accuracy. The technique is applied to two different SAR image applications, the delineation of multiple targets in close proximity, and the automatic estimation of building dimensions by delineation of shadows in a sequence of SAR images of an urban scene. Finally, the incorporation of the delineation algorithms in a software tool enabling rapid interactive building dimension estimation is briefly described.

Citation Download Citation

R. D. Hill, C. P. Moate, and D. Blacknell "Urban scene analysis from SAR image sequences", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 623702 (3 May 2006); https://doi.org/10.1117/12.664418

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