Modeling polarimetric imaging using DIRSIG

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dc.contributor.advisor Schott, John
dc.contributor.advisor Kastner, Joel
dc.contributor.advisor Kotlarchyk, Michael
dc.contributor.author Meyers, Jason
dc.date.accessioned 2012-07-18T18:44:24Z
dc.date.available 2012-07-18T18:44:24Z
dc.date.issued 2002
dc.identifier.uri http://hdl.handle.net/1850/15208
dc.description.abstract The remote sensing community is beginning to recognize the potential benefit of exploiting polarimetric signatures. The ability to accurately model polarimetric phenomenology in a remote sensing system will assist efforts in system design, algorithm development, phenomenology studies, and analyst training. This dissertation lays the ground work for enhancing the current Digital Imaging and Remote Sens ing Laboratory's Synthetic Image Generation (DIRSIG) model to include polarimetric phenomenology. The current modeling capabilities are discussed along with the theoretical background required to expand upon the current state of the art. Methods for modeling and estimating polarimetric signatures and phenomenology from start to end in a typical remote sensing system are presented. A series of simple simulations were conducted to assess the performance of the new polarimetric capabilities. Analysis was performed to characterize the individual models and the collected performance of the models. en_US
dc.language.iso en_US en_US
dc.subject Imaging science en_US
dc.subject.lcc TK8315 .M494 2002
dc.subject.lcsh Imaging systems en_US
dc.subject.lcsh Remote sensing en_US
dc.subject.lcsh Polarimetric remote sensing en_US
dc.subject.lcsh Photometry en_US
dc.subject.lcsh Polarization (Light) en_US
dc.title Modeling polarimetric imaging using DIRSIG en_US
dc.type Dissertation en_US
dc.description.college College of Science en_US
dc.description.department Chester F. Carlson Center for Imaging Science en_US
dc.contributor.advisorChair Grande, William

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