Nonparametric edge detection in speckled imagery

We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numerically compare them to an alternative method that has been recently proposed in the literature. Our results show that some of the proposed methods display superior results and are computationally simpler than the existing method. An application to real (not simulated) data is presented and discussed.

MoreLess

Year of publication:	2012
Authors:	Girón, Edwin ; Frery, Alejandro C. ; Cribari-Neto, Francisco
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 82.2012, 11, p. 2182-2198
Publisher:	Elsevier
Subject:	Edge detection \| Hypothesis testing \| Image analysis \| Multiplicative noise \| Small samples \| Speckle \| SAR

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011051069