DocumentCode :
3372882
Title :
A conceptual framework for change detection in very high resolution remote sensing images
Author :
Bruzzone, Lorenzo ; Bovolo, Francesca
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2555
Lastpage :
2558
Abstract :
This paper addresses the problem of change detection (CD) in very high geometrical resolution (VHR) multitemporal images. In this context, we propose a general conceptual framework that aims at giving: i) a taxonomy of different radiometric changes occurring when dealing with VHR remote sensing images; and ii) a global approach to the definition of the architecture of effective CD methods for VHR images. This framework represents a first step for defining effective guidelines for the development of a new generation of CD methods that can be properly analyze multitemporal VHR images taking into account the intrinsic complexity associated with these data.
Keywords :
computational complexity; image resolution; radiometry; remote sensing; VHR remote sensing images; change detection; general conceptual framework; intrinsic complexity; multitemporal images; radiometric changes; very high geometrical resolution; very high resolution remote sensing images; Data mining; Image resolution; Pixel; Radiometry; Semantics; Sensors; Taxonomy; Change detection; Image processing; Multitemporal images; Remote sensing; Very High Geometrical resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5653930
Filename :
5653930
Link To Document :
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