Sentence examples for feature classifications from inspiring English sources

The visual interpretations process using stereoscopes were helpful to substantiate onscreen feature classifications using GIS environment.

This paper discusses three different issues in feature classification.

For more complex cases, the target is the development of feature classification and feature extraction schemes.

It is observed that there are three major steps: (i) coarse feature classification, (ii) contour segmentation, and (iii) fine feature classification.

The second algorithm, GFP.MC, constructs feature intervals by greedily improving the feature classification error.

The first algorithm, OFP.MC, learns on each feature pairwise disjoint intervals which minimize feature classification error.

Training and testing the classifier are two important activities in the process of feature classification.

Experiments are carried out for airborne sonar target feature classification using these algorithms.

In the third step, a contour-based feature classification (CFC) module is applied.

The SVM classifiers in both coarse and fine feature classification are built using LIBSVM software [28].

A support vector machine (SVM) [32] was used for feature classification.