Sentence examples for terrain classification from inspiring English sources

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.

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.

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

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

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).

Instead the Wind Engineer must assess visually the roughness of the terrain at the building site and match it with a particular class from an existing terrain classification.

We describe an approach in terrain classification, with the objective of deriving a method for classifying land elements from DTMs based on their fundamental characteristics.