خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 150433
Doc. No : ET22225
Main Entry : Daniel Paul Filiberti
Title Proper : COMBINED SPATIAL-SPECTRAL PROCESSING OF MULTISOURCE DATA USING THEMATIC CONTENT
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In this dissertation, I design a processing approach, implement and test several solutionsto combining spatial and spectral processing of multisource data. The measured spectralinformation is assumed to come from a multispectral or hyperspectral imaging system withlow spatial resolution. Thematic content from a higher spatial resolution sensor is used tospatially localize different materials by their spectral signature. This approach results inboth spectral unmixing and sharpening, a spatial-spectral fusion. The main real imageryexample, fusion of polarimetric synthetic aperture radar (SAR) with hyperspectral imagery,poses a unique challenge due to the phenomenological differences between the sensors.Theoretical models for electro-optical image formation and scene reflectivity are shownto lead naturally to a set of pixel mixing equations. Several solutions for the spatial unmixingform of these equations are-...,..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 : TL45430.pdf
Title and statement of responsibility and : COMBINED SPATIAL-SPECTRAL PROCESSING OF MULTISOURCE DATA USING THEMATIC CONTENT [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)