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)....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-09-01
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| Series: | Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2078-2489/3/3/420 |