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

Cornet, Yves; de Béthune, Stanislas; Binard, Marc; Muller, Fabrice; Legros, Gauthier; Nadasdi, Istvan

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

Cornet, Yves; de Béthune, Stanislas; Binard, Marc et al.

2001

Peer reviewed

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https://hdl.handle.net/2268/3830

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Keywords :

remote sensing; multi-resolution image fusion; local mean and variance matching

Disciplines :

Earth sciences & physical geography

Author, co-author :

Cornet, Yves ; Université de Liège - ULiège > Département de géographie > Cartographie et systèmes d'information géographique

de Béthune, Stanislas; Université de Liège - ULiège > Département de géographie > Labo Surfaces

Binard, Marc

Muller, Fabrice

Legros, Gauthier

Nadasdi, Istvan

Language :

English

Title :

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

Publication date :

2001

Event name :

IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas

Event organizer :

Paolo Gamba, University of Pavia, Italy
Pierfrancesco Lombardo, University of Rome "La Sapienza", Italy

Event place :

Rome, Italy

Event date :

8-9 novembre 2001

Audience :

International

Pages :

106-111

Peer reviewed :

Peer reviewed

Available on ORBi :

since 07 January 2009

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