Title | ||
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Comparison of advanced neural network architectures for hyperspectral data classification |
Abstract | ||
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We investigate the performance of two advanced neural network architectures proposed earlier for hyperspectral data classification. While the first architecture uses feature reduction based on the samples of the classes, the second architecture uses a completely unsupervised approach for feature reduction using auto-associative neural networks. The aim of this study is to identify the pros and cons of such multi-level neural network architectures while classifying hyperspectral data. |
Year | DOI | Venue |
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2010 | 10.1109/WHISPERS.2010.5594919 | WHISPERS |
Keywords | Field | DocType |
data handling,neural net architecture,pattern classification,autoassociative neural networks,feature reduction,hyperspectral data classification,multilevel neural network architectures,class-dependent neural networks,auto-associative neural networks,classification,accuracy,hyperspectral imaging,computer architecture,classification algorithms,artificial neural networks,asphalt,neural network | Data mining,Architecture,Hyperspectral data classification,Computer science,Hyperspectral imaging,Neural net architecture,Artificial intelligence,Statistical classification,Artificial neural network,Group method of data handling,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4244-8907-7 | 0 | 0.34 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Prashanth Reddy Marpu | 1 | 260 | 15.00 |
Giorgio A. Licciardi | 2 | 40 | 4.82 |
Paolo Gamba | 3 | 682 | 92.97 |
Fabio Del Frate | 4 | 508 | 72.43 |