Original Articles: Nonparametric edge detection in speckled imagery

  • Authors:
  • Edwin GiróN;Alejandro C. Frery;Francisco Cribari-Neto

  • Affiliations:
  • Departamento de Estatística, Universidade Federal de Pernambuco, Cidade Universitária, Recife PE 50740-540, Brazil;CPMAT & LCCV, Instituto de Computaçção, Universidade Federal de Alagoas, BR 104 Norte km 97, Maceió AL 57072-970, Brazil;Departamento de Estatística, Universidade Federal de Pernambuco, Cidade Universitária, Recife PE 50740-540, Brazil

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.