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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151767
Doc. No : ET23559
Main Entry : John S. Kirkland
Title Proper : USING PRINCIPAL COMPONENT ANALYSIS FOR ENHANCEMENT OF MULTISPECI'RAL INFRARED TELESCOPE IMAGES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The rich information found in multispectral images is in a form that is difficult for interpretationby scientists. Image data fusion techniques rrre useful to systemize the complex information in order tofacilitate image enhancement, feature recognition, and classification. This thesis reports the investigation ofthe performance of Principal Component Analysis (PCA) based upon covariance and correlation matricesbetween spectral bands. The approach was to process an image data set using unstandardized PCA(covariance) and then to repeat the processing using standardized PCA (correlation),The data set used inthis investigation was obtained from a spatial imaging radiometer that was part of the Spatial InfraredImaging Telescope (SPIRIT XII) flown aboard the Midcourse Space Experiment (MSX) satellite. Thegalactic plane was imaged in four mid-inbed passbands centered on wavelengths of 8.28,12.13, L4.65,and 21.34 pm- Data sets of the Galactic Center and of a select area in Cygnus were developed and.......-....,....-...,..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 : TL46801.pdf
Title and statement of responsibility and : USING PRINCIPAL COMPONENT ANALYSIS FOR ENHANCEMENT OF MULTISPECI'RAL INFRARED TELESCOPE IMAGES [Thesis]
 
 
 
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