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dc.contributor.authorKramer, Tyler Christianen_US
dc.date.accessioned2014-03-14T21:32:08Z
dc.date.available2014-03-14T21:32:08Z
dc.date.issued2007-03-05en_US
dc.identifier.otheretd-03192007-095516en_US
dc.identifier.urihttp://hdl.handle.net/10919/41732
dc.description.abstractTo date, there exists no complete, computationally efficient, physics-based model to compute the radar backscatter from forest canopies. Several models attempt to predict the backscatter coefficient for random forest canopies by using the Vector Radiative Transfer (VRT) Theory with success, however, these models often rely on purely time-harmonic formulations and approximations to integrals. Forms of VRT models have recently been developed which account for a Gaussian pulse incident waveform, however, these models often rely heavily on very specific and obfuscated approximations to solve the associated integrals. This thesis attempts to resolve this problem by outlining a method by which existing, proven, time harmonic solutions to the VRT equation can be modified to account for arbitrary pulse waveforms through simple path delay method. These techniques lend physical insight into the actual scattering mechanisms behind the returned waveform, as well as offer explanations for why approximations of previous authors' break down in certain regions. Furthermore, these radiative transfer solutions can be reformulated into a convolutional model which is capable of quickly and accurately predicting the radar return of random volumes. A brief overview of radiative transfer theory as it applies to remote sensing is also given.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartKramerThesis_PVSIRv3.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectRemote Sensingen_US
dc.subjectrandom volume scatteringen_US
dc.subjectfoliage propagationen_US
dc.subjectElectromagneticsen_US
dc.subjectradiative transfer theoryen_US
dc.titleThe Polarimetric Impulse Response and Convolutional Model for the Remote Sensing of Layered Vegetationen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.committeechairBrown, Gary S.en_US
dc.contributor.committeememberScales, Wayne A.en_US
dc.contributor.committeememberDavis, Bradley A.en_US
dc.contributor.committeememberEllingson, Steven W.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-03192007-095516/en_US
dc.date.sdate2007-03-19en_US
dc.date.rdate2007-04-03
dc.date.adate2007-04-03en_US


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