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Edge detection algorithms in intensity sar images: empirical comparison of perfomances and proposed improvements
Citation
Melgar Bautista, Ignacio and Fombellida Vetas, Juan and Gómez, Jaime and Seijas Martínez-Echevarría, 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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://oa.upm.es/3814/ |
| OAI Identifier: | oai:oa.upm.es:3814 |
| Official URL: | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 21 Jul 2010 11:50 |
| Last Modified: | 24 Feb 2023 16:28 |
