
An adaptive sampling method using Hidden Markov Random Fields for the mapping of weed at the field scale
Author(s) -
Mathieu bonneau,
Sabrina Gaba,
Nathalie Peyrard,
Régis Sabbadin
Publication year - 2011
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - sampling (signal processing) , scale (ratio) , weed , computer science , field (mathematics) , adaptive sampling , random field , markov process , markov chain , markov random field , artificial intelligence , mathematics , statistics , monte carlo method , computer vision , machine learning , geography , agronomy , cartography , image segmentation , filter (signal processing) , segmentation , pure mathematics , biology