Information | |
A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels | |
Uttam Kumar2  Kumar S. Raja1  Chiranjit Mukhopadhyay3  | |
[1] Institut de Recherche en Informatique et Systèmes Aléatoires, 35042 Rennes cedex, France;Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560012, India;Department of Management Studies, Indian Institute of Science, Bangalore 560012, India; | |
关键词: mixture model; sub-pixel classification; non-linear unmixing; MODIS; | |
DOI : 10.3390/info3030420 | |
来源: mdpi | |
【 摘 要 】
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
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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