Edge detection and localization in SAR images: a comparative study of global filtering and active contour approaches

Olivier Germain; Philippe Refregier

doi:10.1117/12.331855

4 December 1998 Edge detection and localization in SAR images: a comparative study of global filtering and active contour approaches

Olivier Germain, Philippe Refregier

Author Affiliations +

Proceedings Volume 3500, Image and Signal Processing for Remote Sensing IV; (1998) https://doi.org/10.1117/12.331855
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

We address the problem of edge detection in synthetic aperture radar (SAR) images and we particularly focus on the precision with which the frontier of an object can be determined. Recently, an edge detection global filter has been proposed. It involves a two-region analyzing window whose properties greatly influence its efficiency. In this paper, we will study the filter detection and localization abilities as functions of the analyzing window geometry, namely its shape, size and orientation. We will then introduce another approach to segment an object in a SAR image: the statistical active contour. The spatial precision of these two approaches will be finally compared and discussed.

Citation Download Citation

Olivier Germain and Philippe Refregier "Edge detection and localization in SAR images: a comparative study of global filtering and active contour approaches", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); https://doi.org/10.1117/12.331855

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