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Enhanced Edge Detection Technique for SAR Images

by P. Surya Prasad, B. Prabhakara Rao, P N R L Chandrasekhar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 1
Year of Publication: 2013
Authors: P. Surya Prasad, B. Prabhakara Rao, P N R L Chandrasekhar
10.5120/13356-0949

P. Surya Prasad, B. Prabhakara Rao, P N R L Chandrasekhar . Enhanced Edge Detection Technique for SAR Images. International Journal of Computer Applications. 77, 1 ( September 2013), 6-10. DOI=10.5120/13356-0949

@article{ 10.5120/13356-0949,
author = { P. Surya Prasad, B. Prabhakara Rao, P N R L Chandrasekhar },
title = { Enhanced Edge Detection Technique for SAR Images },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 1 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number1/13356-0949/ },
doi = { 10.5120/13356-0949 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:06.397617+05:30
%A P. Surya Prasad
%A B. Prabhakara Rao
%A P N R L Chandrasekhar
%T Enhanced Edge Detection Technique for SAR Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 1
%P 6-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this work a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images is proposed. The edge enhancement phase has been proven to be critical in heterogeneous SAR images, and the method proposed is a good solution that can be used to deal with this type of data. The method proposes a robust edge enhancement directly in the wavelet transformed domain based on a combination of wavelet coefficients at different scales. It does not require any type of pre filtering of input data, and is independent of the statistics of the input image. The adaptation capability of the method to very diverse scenarios with no need of a priori knowledge or settings is a useful feature in view of its integration in an unsupervised segmentation.

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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection synthetic aperture radar (SAR) stationary wavelet transform

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