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

Martínez Izquierdo, María Estíbaliz ORCID: https://orcid.org/0000-0003-0296-6151, Arquero Hidalgo, Águeda ORCID: https://orcid.org/0000-0002-3590-1162 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.

Descripción

Título: A new approach to change detection in multispectral images by means of ERGAS index
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Geoscience and Rmote Sensing Letters
Fecha: Enero 2013
ISSN: 1545-598X
Volumen: 10
Número: 1
Materias:
ODS:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of INVE_MEM_2013_119159.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (854kB)

Resumen

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.

Más información

ID de Registro: 25711
Identificador DC: https://oa.upm.es/25711/
Identificador OAI: oai:oa.upm.es:25711
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5488179
Identificador DOI: 10.1109/LGRS.2012.2193372
URL Oficial: http://ieeexplore.ieee.org
Depositado por: Memoria Investigacion
Depositado el: 07 May 2014 12:11
Ultima Modificación: 12 Nov 2025 00:00