Hyperparameter estimation and plug-in kernel density estimates for maximum a posteriori land-cover classification with multiband satellite data

DOI10.1016/j.csda.2012.06.010zbMath1365.62249OpenAlexW1973582201MaRDI QIDQ2359461

Matthew C. Ulm, Jason H. Stover

Publication date: 29 June 2017

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.06.010

zbMATH Keywords

naive Bayesremote sensingiterated conditional modes

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

On bandwidth selection using minimal spanning tree for kernel density estimation

Uses Software

• ElemStatLearn

Cites Work

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• Principles and theory for data mining and machine learning
• Nonparametric functional data analysis. Theory and practice.
• Markov Random Field Modeling in Image Analysis
• Markov Chains

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