The primary interest of this research is to introduce selected environmental effects into RIT’s Digital Imaging and Remote Sensing Image Generation (DIRSIG) Model. DIRSIG is capable of producing high resolution images (meter scale) using Computer Aided Design models (CAD) of buildings, vehicles, trees, etc. across the full optical spectrum (0.35-25μm). Currently, these objects are modeled in a pristine manner and there is no option to simulate them after exposure to environmental effects. Ideally, we would like to subject a given material to these environmental effects and then accurately model the modified reflected or emitted spectrum. As a first step, we have chosen to model moisture and dust on surfaces by implementing a model of the effects of a thin layer of water and soil coverage, respectively, on the spectral reflectance and emittance of different materials. Using new techniques for field instruments in a laboratory setting, we have established the relationship between the surface contaminant and its effect on the target in question. These results will be incorporated into the DIRSIG modeling tool for wider use.
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
K. Strackerjan, L. Smith and J. Kerekes, "Modeling the Spectral Effects of Water and Soil as Surface Contaminants in a High Resolution Optical Image Simulation," 2006 IEEE International Symposium on Geoscience and Remote Sensing, Denver, CO, USA, 2006, pp. 3774-3777. doi: 10.1109/IGARSS.2006.967
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