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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148453
Doc. No : ET20245
Main Entry : Xianfeng Chen
Title Proper : Integrating visible, near infrared and short wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Visible, near infrared (VNIR), and short wave infrared (SWIR) hyperspectral andthermal infrared (TIR) multispectral remote sensing have become potential tool forgeological mapping. In this dissertation, a series of studies were carried out to investigatethe potential impact of combining VNIR/SWIR hyperspectral and TIR multispectral datafor surface geological mapping. First, a series of simulated data sets based on thecharacteristics of hyperspectral AVIRIS and multispectral TIR MASTER sensors wascreated from surface reflectance and emissivity library spectra. Five common usedclassification methods including minimum distance, maximum likelihood, spectral anglemapper (SAM), spectral feature fitting (SFF), and binary encoding were applied to thesesimulated data sets to test the hypothesis. It was found that most methods applied to thecombined data actually obtained improvement in overall accuracy of classification bycomparison of the results to the simulated AVIRIS.
Subject : Electericl tess
: برق
electronic file name : TL43371.pdf
Title and statement of responsibility and : Integrating visible, near infrared and short wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada [Thesis]
 
 
 
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