Jason Meyers

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.

Library of Congress Subject Headings

Imaging systems; Remote sensing; Polarimetric remote sensing; Photometry; Polarization (Light)

Publication Date

2002

Document Type

Dissertation

Student Type

Graduate

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Advisor

Schott, John

Advisor/Committee Member

Kastner, Joel

Advisor/Committee Member

Kotlarchyk, Michael

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TK8315 .M494 2002

Campus

RIT – Main Campus

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