This final report is organized as follows: in section 5, the mathematical formulation of the spectral unmixing problem is stated and linked with the BSS framework, also FastICA, JADE and MaxNG are briefly discussed; in section 6, the objectives of the present work are presented; in section 7, all the obtained experimental results are presented for different types of synthetically generated data as well for some real images datasets; finally in section 8, the main conclusions and issues to be included in a future program are outlined.

Independent component analysis strategies for extracting information from remote-sensed images

2005

Abstract

This final report is organized as follows: in section 5, the mathematical formulation of the spectral unmixing problem is stated and linked with the BSS framework, also FastICA, JADE and MaxNG are briefly discussed; in section 6, the objectives of the present work are presented; in section 7, all the obtained experimental results are presented for different types of synthetically generated data as well for some real images datasets; finally in section 8, the main conclusions and issues to be included in a future program are outlined.
2005
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
I.4.8 Scene Analysis
I.4.10 Image representation
I.4.6 Segmentation
J.2 Physical sciences and engineering
Blind source separation
Dependent co
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/142972
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