Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling

Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling

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 conditional probability distribution over random var...

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Bibliographic Details
Main Authors: Tito Arevalo-Ramirez, Fernando Auat Cheein
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Conditional random field
graph structure
ground filtering
machine learning
Online Access:https://ieeexplore.ieee.org/document/9360737/

Internet

https://ieeexplore.ieee.org/document/9360737/

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