Paper
14 October 1996 Incorporation of transmissive scene-element modeling in multispectral image simulation tools
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Abstract
In order for advanced image simulation systems to properly model the image formation phenomenology of remotely sensed imagery, simulations need to account for the effects of transmissive objects in a scene. These transmissive effects are important in simulating imagery of littoral scenes, vegetation canopies, meteorological clouds, and gas plume discharges. This is especially true for imaging scenarios in the long wave infrared region where very complex target- background radiational and thermal interactions are critically affected by transmission. The digital imaging and remote sensing (DIRS) Laboratory's synthetic image generation (DIRSIG) model has recently been improved to include the general simulation of transmissive scene elements. The model emphasizes quantitative prediction of the radiance reaching sensors with bandpass ranges between 0.28 and 20 micrometer. It includes spectral radiation propagation using MODTRAN, thermal modeling based on the environmental history, and extensive target-background interactions. An overview of DIRSIG's capabilities is presented along with the methodology and mechanism of simulating transmissive scene elements. Imagery illustrating the various scenarios and imaging phenomenologies are presented and discussed.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rolando V. Raqueno, Scott D. Brown, and John R. Schott "Incorporation of transmissive scene-element modeling in multispectral image simulation tools", Proc. SPIE 2828, Image Propagation through the Atmosphere, (14 October 1996); https://doi.org/10.1117/12.254186
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Atmospheric modeling

Atmospheric sensing

Clouds

Scene simulation

Imaging systems

Infrared imaging

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