ORBi: Cornet Yves - RS Data Fusion by Local Mean and Variance Matching Algorithms: their Respective Efficiency in a Complex Urban Context

Reference : RS Data Fusion by Local Mean and Variance Matching Algorithms: their Respective Efficien...


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/2268/3830

Title :	RS Data Fusion by Local Mean and Variance Matching Algorithms: their Respective Efficiency in a Complex Urban Context
Language :	English
Author, co-author :	Cornet, Yves [Université de Liège - ULg > Département de géographie > Cartographie et systèmes d'information géographique >]
	de Béthune, Stanislas [Université de Liège - ULg > Département de géographie > Labo Surfaces >]
	Binard, Marc [> > > >]
	Muller, Fabrice [> > > >]
	Legros, Gauthier [> > > >]
	Nadasdi, Istvan [> > > >]
Publication date :	2001
Pages :	106-111
On invitation :	No
Audience :	International
Event name :	IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas
Event date :	8-9 novembre 2001
Event organizer :	Paolo Gamba, University of Pavia, Italy
	Pierfrancesco Lombardo, University of Rome "La Sapienza", Italy
Event place (city) :	Rome
Event country :	Italie
Keywords :	[en] remote sensing ; multi-resolution image fusion ; local mean and variance matching
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/3830

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