Classification of land-cover information using remotely-sensed imagery is a challenging topic due to the complexity of landscapes and the spatial and spectral resolution of the images being used. Early studies of land-cover classification used statistical methods such as the maximum likelihood class
A greedy classification algorithm based on association rule
β Scribed by F.A. Thabtah; P.I. Cowling
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 760 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1568-4946
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