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The data bases for 2014 were obtained by using a combination of digital supervise classification, and interpretation of SPOT fused imagines on a screen monitor (2.5m x 2.5m pixel resolution).
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In section Supervised classification methods we discuss supervised methods for finding a classification function that predicts class labels.
It includes non-supervised classification methods such as principal component analysis (PCA) and supervised classification methods such as partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA).
For comparison, the results of both the proposed method and the method using Wishart supervised classification directly without POA compensation and CRDbl Vol, which is termed direct Wishart supervised classification (DWSC), are listed in Table 1.
Supervised classification (pose/expression).
Numerous supervised classification methods can be used to achieve that.
The occurrence of such minerals are detected and confirmed by SAM supervised classification method.
Supervised classification and logistic regression analysis (LRA) were employe in this study.
Traditional pattern recognition generally involves two tasks: unsupervised clustering and supervised classification.
Models number increasing (1) Supervised classification (pose/expression) (2) Unsupervised classification (pose/expression) .
Supervised classification methodology has been employed using maximum likelihood technique in ERDAS 9.3 Software.
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