@phdthesis{Salvaggio1994_0,
        Abstract = {With today's economy and unprecedented rate of technological advancement, ideas for new remote sensing systems outpace the abilities of and funding levels for researchers and engineers to build and test these platforms. For these reasons, accurate modeling of new systems becomes a requirement. This document represents the current status of a first-principles physics-based synthetic image generation model, DIRSIG, capable of producing the radiance field reaching the front-end of an airborne or terrestrial imaging system. This model accounts for the major material interaction effect for objects in the scene in both the reflective and emissive portions of the electromagnetic spectrum, their thermodynamic behavior in a natural environment, and the propagation of energy through the atmosphere. The model is demonstrated to produce viable imagery in both the qualitative and quantitative sense. In the thermal infrared portion of the spectrum, results are demonstrated in which temperatures are shown to be modeled within truth by 5 degrees C in the longwave-infrared and 6 degrees C in the midwave-infrared regions. Many of the phenomena observed in infrared imagery are also demonstrated including background radiance effects and thermal shadows (signatures). In developing a model to work in these two thermal infrared passbands, the model naturally had the capabilities to work in the reflective regions. Example imagery from the reflective portion of the spectra is presented illustrating the qualitative fidelity of the model in this region, however, no quantitative analysis was conducted at this time.},
        Address = {Syracuse, New York, United States of America},
        Author = {Carl Salvaggio},
        Keywords = {dirsig; longwave infrared; multispectral; synthetic image generation; validation},
        Month = {},
        School = {State University of New York, College of Environmental Science and Forestry, Environment Resource Engineering},
        Title = {Multispectral synthetic scene generation using atmospheric propagation and thermodynamic models},
        Type = {Ph.D. Dissertation},
        Url = {http://www.cis.rit.edu/~cnspci/references/theses/phd/salvaggio1994.pdf},
        Year = {1994}}