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After the feature extraction stage, the extracted features are fed into Gaussian mixture model (GMM) classifiers.
The extracted features are single.
We extracted features following Cao's method [1].
Maximum number of extracted features: 60.
The pose matrix from extracted features was calculated by Homography.
They applied the LS_SVM to the extracted features.
They managed to achieve 92.5% accuracy with 27 extracted features.
The extracted features were later classified by SVM method.
A brief description of the extracted features is given below.
The extracted features are passed through a KNN classifier.
Figure 4 Radar image with extracted features marked with arrows.
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CEO of Professional Science Editing for Scientists @ prosciediting.com