Paper
12 July 1999 Design considerations, modeling, and analysis for the multispectral thermal imager
Paul G. Weber, Christoph C. Borel, William B. Clodius, Bradly J. Cooke, Barham W. Smith
Author Affiliations +
Abstract
The design of remote sensing systems is driven by the need to provide cost-effective, substantive answers to questions posed by our customers. This is especially important for space-based systems, which tend to be expensive, and which generally cannot be changed after they are launched. We report here on the approach we employed in developing the desired attributes of a satellite mission, namely the Multispectral Thermal Imager. After an initial scoping study, we applied a procedure which we call: `End-to-end modeling and analysis (EEM).' We began with target attributes, translated to observable signatures and then propagated the signatures through the atmosphere to the sensor location. We modeled the sensor attributes to yield a simulated data stream, which was then analyzed to retrieve information about the original target. The retrieved signature was then compared to the original to obtain a figure of merit: hence the term `end-to-end modeling and analysis.' We base the EEM in physics to ensure high fidelity and to permit scaling. As the actual design of the payload evolves, and as real hardware is tested, we can update the EEM to facilitate trade studies, and to judge, for example, whether components that deviate from specifications are acceptable.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul G. Weber, Christoph C. Borel, William B. Clodius, Bradly J. Cooke, and Barham W. Smith "Design considerations, modeling, and analysis for the multispectral thermal imager", Proc. SPIE 3701, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X, (12 July 1999); https://doi.org/10.1117/12.352968
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Cited by 7 scholarly publications.
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KEYWORDS
Sensors

Calibration

Signal to noise ratio

Systems modeling

Thermal modeling

Satellites

Data modeling

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