Sentence examples for terrain classifications from inspiring English sources

The percentage of event landslides in the slope units was used as the dependent variable (grouping variable) for the terrain classifications.

For the multivariate terrain classifications, we exploited the percentage of the 2009 event landslides above a selected threshold as grouping variable and six morphological, five land use classes obtained from the 2009 land use map and the presence of pre-event landslides as explanatory variables.

We start with summarizing current vision-based terrain classification methods.

Hyperspectral remote sensing images terrain classification faces the problems of high data dimensionality and lack of labeled training data, resulting in unsatisfied terrain classification efficiency.

The feature extraction is required before terrain classification for preserving discriminative information and reducing data dimensionality.

It introduces concepts developed for hazard detection, terrain classification, and collision-free autonomous navigation.

A fuzzy logic algorithm was developed and used for terrain classification.

Lastly, combined terrain classification models were prepared for the training and the validation areas.

We present a survey of recently developed object detection techniques that can be useful for terrain classification for planetary rovers.

We then provide a comprehensive and structured overview of recent object detection techniques, focusing on those applicable to terrain classification.

Terrain classification of LIDAR point clouds is a fundamental problem in the production of Digital Elevation Models (DEMs).