Improvement of remote sensing multispectral image classification by using Independent Component Analysis

WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

Volumn , Issue , 2009, Pages

  Karoui, M S ^a,b,c   Deville, Y ^b   Hosseini, S ^b   Ouamri, A ^c   Ducrot, D ^b  

^a Centre National des Techniques Spatiale Oran   (Algeria)

^b UNIVERSITÉ DE TOULOUSE   (France)

^c UNIVERSITÉ DES SCIENCES ET DE LA TECHNOLOGIE D ORAN MOHAMED BOUDIAF   (Algeria)

Author keywords

Blind source separation; Classification; Independent Component Analysis; Multispectral imagery; Remote sensing

Indexed keywords

ENDMEMBERS; LINEAR COMBINATIONS; MIXING EFFECTS; MULTI-SPECTRAL IMAGERY; MULTISPECTRAL IMAGE CLASSIFICATION; MULTISPECTRAL IMAGES; MULTISPECTRAL REMOTE SENSING IMAGERY; PRE-PROCESSING; PURE ELEMENTS; SOURCE IMAGES; SPECTRAL BAND; SPOT IMAGE; SUPERVISED CLASSIFIERS; TEXTURAL INFORMATION;

APARTMENT HOUSES; BLIND SOURCE SEPARATION; HEMODYNAMICS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; REMOTE SENSING; SEPARATION; SIGNAL ANALYSIS; SIGNAL PROCESSING; SPEECH ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 72049096386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2009.5289033     Document Type: Conference Paper

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