Critical image formation parameters in thermal hyperspectral image simulations

摘要

Abstract: The increased availability and reliability of hyperspectral thermal imaging systems has stimulated the development of new exploitation algorithms that key on spectroscopic features. However, variations in image formation parameters can have significant effects on the ability of hyperspectral algorithms to separate and identify spectral signatures within a scene. To continue to support the algorithm development community, the simulation community must provide synthetic imagery that features both the spatial and spectral characteristics observed in actual imagery. This paper outlines the spectral resolution requirements for hyperspectral simulation in the thermal region as well as the importance of rigorous modeling of the atmosphere, surface temperatures, surface optical properties and backgrounds contributions. The approaches taken by the Digital Imaging and Remote Sensing Image Generation model to incorporate these critical modeling parameters are described and example imagery demonstrating variations of these parameters is also included.!13