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" CLASSIFICATION PERFORMANCE OF HYPERSPECTRAL lMAGES USING THE DISCRETE WAVELET TRANSFORM WITH COLOR AND QUALITY SCALABILITY UNDER JPEG2000 "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 150844
Doc. No : ET22636
Main Entry : DAVID F. NEGRETE, B.S.E.E.
Title Proper : CLASSIFICATION PERFORMANCE OF HYPERSPECTRAL lMAGES USING THE DISCRETE WAVELET TRANSFORM WITH COLOR AND QUALITY SCALABILITY UNDER JPEG2000
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The classification performance of hyperspectral images using two different forwardtransforms is investigated. The tradeoff between the Discrete Wavelet Transform (DWT) andthe Principal Component Analysis (PCA) is measured using different compression algorithmsfound in the JPEG2000 standard. These cross-component transforms can be evaluated in orderto obtain a comparison of how well each transform can decorrelate data, reorder data optimally,....-...,..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 : TL45860.pdf
Title and statement of responsibility and : CLASSIFICATION PERFORMANCE OF HYPERSPECTRAL lMAGES USING THE DISCRETE WAVELET TRANSFORM WITH COLOR AND QUALITY SCALABILITY UNDER JPEG2000 [Thesis]
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TL45860.pdf
TL45860.pdf
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