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Proceedings Paper

Detection and extraction of quasi-linear features in SAR images using a line segment image transform and inverse transform
Author(s): Robert E. Hall
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Paper Abstract

A line segment image transform and inverse transform is used to detect and extract quasi- linear features in synthetic aperture radar (SAR) images. The transform is a windowed version of the Radon transform. The transform begins by dividing the original image into overlapped subimages using a simple analysis filter. A Radon transform is applied to each subimage yielding a representation of the subimage in terms of line segments at varying angles and positions. The amplitude of each line segment is used to calculate the detection statistic for that line segment. Line segments whose detection statistics are above a specified threshold are passed, and the filtered subimage is reconstructed using an inverse Radon transform (convolution back projection). Finally, the filtered subimages are recombined to form the filtered version of the original image. The filtering procedure passes quasi-linear features in the original image, and rejected features that are not quasi-linear, such as speckle. The inversion procedure is designed so that the original image is reconstructed if the threshold is set to zero.

Paper Details

Date Published: 28 May 1993
PDF: 7 pages
Proc. SPIE 1875, Ultrahigh Resolution Radar, (28 May 1993); doi: 10.1117/12.145516
Show Author Affiliations
Robert E. Hall, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 1875:
Ultrahigh Resolution Radar
Roger S. Vickers, Editor(s)

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