A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels

A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels

Signals acquired by sensors in the real world are non-linear combinations, requiring non-linear mixture models to describe the resultant mixture spectra for the endmember’s (pure pixel’s) distribution. This communication discusses inferring class fraction through a novel hybrid mixture model (HMM)....

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Bibliographic Details
Main Authors: Uttam Kumar, Kumar S. Raja, Chiranjit Mukhopadhyay, T.V. Ramachandra
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Information
Subjects:
mixture model
sub-pixel classification
non-linear unmixing
MODIS
Online Access:http://www.mdpi.com/2078-2489/3/3/420

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