Mathematical Modeling and Validation in EO System Development

Mathematical Modeling and Validation in EO System Development
Author(s):    Duncan L. Hickman; Moira I. Smith
Published:   2016
DOI:             10.1117/3.2235418
eISBN: 9781510601727
Description:

Advances in computers and software tools have fueled the demand for increasingly sophisticated mathematical models and simulators. This Spotlight provides guidance for maximizing the benefits of modeling within a project as the project evolves through its lifecycle. It emphasizes pragmatic advice and guidance based on practical project experience rather than process engineering or modeling theory. The book is written for a wide audience, ranging from engineers who need to understand how their modeling work fits into the bigger project picture, to systems engineers and project managers who need to understand how modeling can be used effectively. In terms of project applicability, the text covers a broad spectrum of projects; however, no mathematical or engineering design expertise is required by the reader.

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Mathematical modeling is a fundamental discipline within the design and development of modern electro-optical (EO) sensor systems. Modeling allows systems to be readily and cheaply evaluated before they are built and allows the assessment of modifications to existing products. The performance of systems can be gauged in different scenarios: ones that are either expensive to determine through trials, or else ones that are constrained through domestic or international sensitivities. Furthermore, modeling allows a designer to develop and test their own understanding as well as identifying critical trade-offs and risks. Modeling is, therefore, a powerful design technique that sits at the heart of modern EO sensor systems engineering.

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