Reducing the dimensionality of hyperspectral remotely sensed data with applications for maximum likelihood image classification
As well as the many benefits associated with the evolution of multispectral sensors into hyperspectral sensors there is also a considerable increase in storage space and the computational load to process the data. Consequently the remote sensing ommunity is investigating and developing statistical m...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/741 |