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
β¦ LIBER β¦
A distance based rule for removing population members in genetic algorithms
β Scribed by Zvi Drezner
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 76 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1619-4500
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