Hyperspectral detection algorithms: Use covariances or subspaces?
There are two broad classes of hyperspectral detection algorithms.1, 2 Algorithms in the first class use the spectral covariance matrix of the background clutter; in contrast, algorithms in the second class characterize the background using a subspace model. In this paper we show that, due to the na...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society of Photo-optical Instrumentation Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/52735 |