Edge detection algorithms in intensity sar images: empirical comparison of perfomances and proposed improvements

Melgar Bautista, Ignacio and Fombellida Vetas, Juan and Gómez, Jaime and Seijas Martínez-Echevarria, Juan Isidoro (2008). Edge detection algorithms in intensity sar images: empirical comparison of perfomances and proposed improvements. In: "World Automation Congress : WAC 2008", 28/09/2008-02/10/2008, Waikoloa, Hawaii (EEUU). ISBN 978-1-889335-38-4. pp. 1-7.

Description

Title: Edge detection algorithms in intensity sar images: empirical comparison of perfomances and proposed improvements
Author/s:
  • Melgar Bautista, Ignacio
  • Fombellida Vetas, Juan
  • Gómez, Jaime
  • Seijas Martínez-Echevarria, Juan Isidoro
Item Type: Presentation at Congress or Conference (Article)
Event Title: World Automation Congress : WAC 2008
Event Dates: 28/09/2008-02/10/2008
Event Location: Waikoloa, Hawaii (EEUU)
Title of Book: Automation Congress, 2008. WAC 2008. World
Date: 2008
ISBN: 978-1-889335-38-4
Subjects:
Freetext Keywords: Synthetic Aperture Radar, edge detection, speckle, probability of false alarm, probability of detection, wavelet.
Faculty: Instituto de Investigación del Automóvil (INSIA) (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Different edge-detection algorithms developed for high-speckle SAR images are evaluated and compared. Two evaluation criterions have been selected: (i) quality of the detected edges, specially considering false alarms, edge thickness and level of discontinuities on detected edges. (ii) computational efficiency. Some modifications on the best-performance algorithms regarding edge quality are proposed, at the expense of a certain computational load increase.

More information

Item ID: 3814
DC Identifier: http://oa.upm.es/3814/
OAI Identifier: oai:oa.upm.es:3814
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4681917
Deposited by: Memoria Investigacion
Deposited on: 21 Jul 2010 11:50
Last Modified: 20 Apr 2016 13:16
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