Paper
2 May 2012 Filtered back projection type direct edge detection of real synthetic aperture radar images
Noe Pena, Guillermo Garza, Zhijun Qiao
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Noe Pena, Guillermo Garza, and Zhijun Qiao "Filtered back projection type direct edge detection of real synthetic aperture radar images", Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940N (2 May 2012); https://doi.org/10.1117/12.918914
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Edge detection

Mathematical modeling

Antennas

Image enhancement

Image filtering

Image segmentation

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