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Shah et al., 2007 - Google Patents

ICA mixture model algorithm for unsupervised classification of remote sensing imagery

Shah et al., 2007

Document ID
12841069029596170706
Author
Shah C
Varshney P
Arora M
Publication year
Publication venue
International Journal of Remote Sensing

External Links

Snippet

Conventional remote sensing classification algorithms assume that the data in each class can be modelled using a multivariate Gaussian distribution. As this assumption is often not valid in practice, conventional algorithms do not perform well. In this paper, we present an …
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Classifications

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    • GPHYSICS
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/6267Classification techniques
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    • G06K9/46Extraction of features or characteristics of the image
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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