NDLI: Probabilistic cluster labeling of imagery data

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Probabilistic cluster labeling of imagery data

Content Provider	NASA Technical Reports Server (NTRS)
Copyright Year	1980
Description	The problem of obtaining the probabilities of class labels for the clusters using spectral and spatial information from a given set of labeled patterns and their neighbors is considered. A relationship is developed between class and clusters conditional densities in terms of probabilities of class labels for the clusters. Expressions are presented for updating the a posteriori probabilities of the classes of a pixel using information from its local neighborhood. Fixed-point iteration schemes are developed for obtaining the optimal probabilities of class labels for the clusters. These schemes utilize spatial information and also the probabilities of label imperfections. Experimental results from the processing of remotely sensed multispectral scanner imagery data are presented.
File Size	2581127
Page Count	45
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19820014716
Archival Resource Key	ark:/13960/t4xh4dp4t
Language	English
Publisher Date	1980-09-01
Access Restriction	Open
Subject Keyword	Earth Resources And Remote Sensing Classifications Spatial Distribution Multispectral Band Scanners Image Processing Earth Resources Program Agristars Project Spectral Signatures Iteration Maximum Likelihood Estimates Pattern Recognition Marking Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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