Validation and acceptance of synthetic infrared imagery

Moira I. Smith; Mark Bernhardt; Christopher R. Angell; Duncan Hickman; Philip Whitehead; Dilip Patel

doi:10.1117/12.542323

4 August 2004 Validation and acceptance of synthetic infrared imagery

Moira I. Smith, Mark Bernhardt, Christopher R. Angell, Duncan Hickman, Philip Whitehead, Dilip Patel

Proceedings Volume 5408, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing IX; (2004) https://doi.org/10.1117/12.542323
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This paper describes the use of an image query database (IQ-DB) tool as a means of implementing a validation strategy for synthetic long-wave infrared images of sea clutter. Specifically it was required to determine the validity of the synthetic imagery for use in developing and testing automatic target detection algorithms. The strategy adopted for exploiting synthetic imagery is outlined and the key issues of validation and acceptance are discussed in detail. A wide range of image metrics has been developed to achieve pre-defined validation criteria. A number of these metrics, which include post processing algorithms, are presented. Furthermore, the IQ-DB provides a robust mechanism for configuration management and control of the large volume of data used. The implementation of the IQ-DB is reviewed in terms of its cardinal point specification and its central role in synthetic imagery validation and EOSS progressive acceptance.

Citation Download Citation

Moira I. Smith, Mark Bernhardt, Christopher R. Angell, Duncan Hickman, Philip Whitehead, and Dilip Patel "Validation and acceptance of synthetic infrared imagery", Proc. SPIE 5408, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing IX, (4 August 2004); https://doi.org/10.1117/12.542323

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