A Multistage Change detection methodology applying statistical multisource

Molina Sánchez, Iñigo and Arquero Hidalgo, Águeda and Martínez Izquierdo, María Estíbaliz and Martinez, Raul (2010). A Multistage Change detection methodology applying statistical multisource. In: "3rd International Symposium “Recent Advances in Quantitative Remote Sensing”", 27/09/2010 - 01/10/2010, Torrent, Valencia, España.

Description

Title: A Multistage Change detection methodology applying statistical multisource
Author/s:
  • Molina Sánchez, Iñigo
  • Arquero Hidalgo, Águeda
  • Martínez Izquierdo, María Estíbaliz
  • Martinez, Raul
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: 3rd International Symposium “Recent Advances in Quantitative Remote Sensing”
Event Dates: 27/09/2010 - 01/10/2010
Event Location: Torrent, Valencia, España
Title of Book: Proceedings of the 3rd International Symposium “Recent Advances in Quantitative Remote Sensing”
Date: 2010
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

Assessment and detection of environmental changes is one the most frequent applications in remote sensing. As a result, there has been a great proliferation of research on this particular topic, leading to different methodologies for detecting changes (Radke 2005, Foody 2009, Kennedy 2009) from data supplied by multitemporal images acquired from spaceborne sensors. The basic objective in a change detection process is to detect groups of pixels that are "significantly different" within a set of registered images of the same geographic area. Moreover it must be taken into account that in the recent decades, advances in space technologies made possible to collect a large amount of information about the Earth Surface and its environment. Since these data have been acquired from multiple sources, their quantitative exploitation requires optimal strategies to benefit from their interactions, so that information of high quality and great applicability for the proposed objectives can be extracted. (Petit 2001)

More information

Item ID: 7532
DC Identifier: http://oa.upm.es/7532/
OAI Identifier: oai:oa.upm.es:7532
Official URL: http://ipl.uv.es/raqrs/
Deposited by: Memoria Investigacion
Deposited on: 15 Jun 2011 09:12
Last Modified: 20 Apr 2016 16:39
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