Evaluation of a Change Detection Methodology by Means of Binary Thresholding Algorithms and Informational Fusion Processes

Molina Sánchez, Iñigo and Martínez Izquierdo, María Estíbaliz and Arquero Hidalgo, Águeda and Pajares, Gonzalo and Sánchez Hernández, Javier (2012). Evaluation of a Change Detection Methodology by Means of Binary Thresholding Algorithms and Informational Fusion Processes. "Sensors", v. 12 (n. 3); pp. 3528-3561. ISSN 1424-8220. https://doi.org/10.3390/s120303528.

Description

Title: Evaluation of a Change Detection Methodology by Means of Binary Thresholding Algorithms and Informational Fusion Processes
Author/s:
  • Molina Sánchez, Iñigo
  • Martínez Izquierdo, María Estíbaliz
  • Arquero Hidalgo, Águeda
  • Pajares, Gonzalo
  • Sánchez Hernández, Javier
Item Type: Article
Título de Revista/Publicación: Sensors
Date: March 2012
ISSN: 1424-8220
Volume: 12
Subjects:
Freetext Keywords: Optical sensors; change detection; thresholding; information fusion; ROC space
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica, Geodesia y Fotogrametría [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Landcover is subject to continuous changes on a wide variety of temporal and spatial scales. Those changes produce significant effects in human and natural activities. Maintaining an updated spatial database with the occurred changes allows a better monitoring of the Earth?s resources and management of the environment. Change detection (CD) techniques using images from different sensors, such as satellite imagery, aerial photographs, etc., have proven to be suitable and secure data sources from which updated information can be extracted efficiently, so that changes can also be inventoried and monitored. In this paper, a multisource CD methodology for multiresolution datasets is applied. First, different change indices are processed, then different thresholding algorithms for change/no_change are applied to these indices in order to better estimate the statistical parameters of these categories, finally the indices are integrated into a change detection multisource fusion process, which allows generating a single CD result from several combination of indices. This methodology has been applied to datasets with different spectral and spatial resolution properties. Then, the obtained results are evaluated by means of a quality control analysis, as well as with complementary graphical representations. The suggested methodology has also been proved efficiently for identifying the change detection index with the higher contribution.

More information

Item ID: 15430
DC Identifier: http://oa.upm.es/15430/
OAI Identifier: oai:oa.upm.es:15430
DOI: 10.3390/s120303528
Official URL: http://www.mdpi.com/1424-8220/12/3/3528/
Deposited by: Memoria Investigacion
Deposited on: 08 Oct 2013 14:39
Last Modified: 21 Apr 2016 15:29
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