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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151246
Doc. No : ET23038
Main Entry : Thomas Calvin Null III
Title Proper : USE OF SELF ORGANIZED MAPS FOR FEATURE EXTRACTION OF HYPERSPECTRAL DATA
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In this paper, the problem of analyzing hyperspecbal data is presented. Thecomplex@ of multi-dimensional data Ieads to the need for computer assisted datacompression and labeling of important features. A brief overview of Self-OrganizingMaps and their variants is given and then two possible methods of data analysis areexamined. These methods are incorporated into a program derived fromsom-toolbod. In this p r o m ASD data (data collected by an Analytical SpectralDevice sensor) is read into a variable, relevant bands for discrimhation betweenclasses are extracted, and several different-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46270.pdf
Title and statement of responsibility and : USE OF SELF ORGANIZED MAPS FOR FEATURE EXTRACTION OF HYPERSPECTRAL DATA [Thesis]
 
 
 
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