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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151084
Doc. No : ET22876
Main Entry : Miguel Angel Lacouture Arnaya
Title Proper : SUBSET SELECTION FOR THE ANALYSIS OF HYPERSPECTRAL IMAGERY SOFTWARE PACKAGE
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This project is a software package implementing a heuristic algorithm that appliesSubset Selection Analysis as a mechanism for data dimension reduction in hyperspectralimagery. The heuristic algorithm is known as Band Subset Selection for HyperspectralImagery, and has been developed in the Laboratory for Applied Remote Sensing andImage Processing LARSLP of the University of Puerto Rico at Mayaguez.The Band Subset Selection for Hyperspectral Imagery heuristic algorithm takesadvantage of the Singular Value Decomposition mechanism (SVD) to estimate theeffective dimensionality p of the hyperspectral image, and the QR Factorization withColumn Pivoting mechanism (QR-PIV) to obtain the most linearly independent p bandsfrom the original image, which can explain a high percentage of the hyperspectrul imagedata variability...,....-...,..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 : TL46104.pdf
Title and statement of responsibility and : SUBSET SELECTION FOR THE ANALYSIS OF HYPERSPECTRAL IMAGERY SOFTWARE PACKAGE [Thesis]
 
 
 
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