A new approach to change detection in multispectral images by means of ERGAS index

Martínez Izquierdo, María Estíbaliz and Arquero Hidalgo, Águeda and Renza Torres, Diego (2013). A new approach to change detection in multispectral images by means of ERGAS index. "IEEE Geoscience and Rmote Sensing Letters", v. 10 (n. 1); pp. 76-80. ISSN 1545-598X. https://doi.org/10.1109/LGRS.2012.2193372.

Description

Title: A new approach to change detection in multispectral images by means of ERGAS index
Author/s:
  • Martínez Izquierdo, María Estíbaliz
  • Arquero Hidalgo, Águeda
  • Renza Torres, Diego
Item Type: Article
Título de Revista/Publicación: IEEE Geoscience and Rmote Sensing Letters
Date: January 2013
ISSN: 1545-598X
Volume: 10
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this letter, we propose a novel method for unsupervised change detection (CD) in multitemporal Erreur Relative Globale Adimensionnelle de Synthese (ERGAS) satellite images by using the relative dimensionless global error in synthesis index locally. In order to obtain the change image, the index is calculated around a pixel neighborhood (3x3 window) processing simultaneously all the spectral bands available. With the objective of finding the binary change masks, six thresholding methods are selected. A comparison between the proposed method and the change vector analysis method is reported. The accuracy CD showed in the experimental results demonstrates the effectiveness of the proposed method.

More information

Item ID: 25711
DC Identifier: http://oa.upm.es/25711/
OAI Identifier: oai:oa.upm.es:25711
DOI: 10.1109/LGRS.2012.2193372
Official URL: http://ieeexplore.ieee.org
Deposited by: Memoria Investigacion
Deposited on: 07 May 2014 12:11
Last Modified: 22 Sep 2014 11:37
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