Modeling Polarimetric Imaging using DIRSIG

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, algo rithm 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 theo retical 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. Analy sis was performed to characterize the individual models and the collected performance of the models.

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