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Proceedings Paper

Filtered back projection type direct edge detection of real synthetic aperture radar images
Author(s): Noe Pena; Guillermo Garza; Zhijun Qiao
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Paper Abstract

Edge detection algorithms applied to Synthetic Aperture Radar (SAR) images have many applications. Detecting edges is an important task in processing images in order to see objects from SAR data. In this work, the received data is rst ltered and then backprojected. The edges are detected in both the x and y directions and results shown. SAR segmented images generated using this technique, are provided from a publicly available SAR dataset. The authors of this technique had applied it to synthetic data; in this work the process is applied on real SAR data with signicant results.

Paper Details

Date Published: 3 May 2012
PDF: 7 pages
Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940N (3 May 2012); doi: 10.1117/12.918914
Show Author Affiliations
Noe Pena, The Univ. of Texas-Pan American (United States)
Guillermo Garza, The Univ. of Texas-Pan American (United States)
Zhijun Qiao, The Univ. of Texas-Pan American (United States)


Published in SPIE Proceedings Vol. 8394:
Algorithms for Synthetic Aperture Radar Imagery XIX
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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