Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling
Date Issued
2021
Author(s) USM
Auat, Fernando
Arevalo-Ramirez, T.
DOI
10.1109/ACCESS.2021.3061371
Abstract
The conditional random field is a suitable framework for contextual classification of two-dimensional (images) and three-dimensional (point clouds) data. This framework is based on probabilistic graphical models, an alternative representation of a conditi
