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Proceedings Paper

Efficient radiometrically accurate synthetic representation of IR scenes
Author(s): Patrick C. Shaw; Robert Eugene Gover
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Paper Abstract

A technique is developed for synthesizing a high spectral resolution IR ship signature image, for use in an imaging IR Anti-Ship Cruise Missile (ASCM) model, from an IR scene database provided by the ship signature model NTCS/ShipIR. This synthesized IR ship image is generated for use over ranges representative of an ASCM engagement. The technique presented focuses on the application of in-band averaged transmittance to the source ship signature as a means of reducing the spectral calculations required by the cruise missile model. In order to achieve this reduction in computation, while preserving the fidelity of the apparent ship signature, the idea of sub-banding is introduced. Sub-banding describes the manner in which the IR band is partitioned into smaller bandwidths, such that the error produced in the ship's average contrast radiance due to the use of in-band averaged transmittance is minimized over range. The difference between the average contrast radiance of an IR ship image generated using in-band averaging and the average contrast radiance of a spectrally generated IR ship image is the metric for this minimization. This choice is based on measured data collected from the recent NATO SIMVEX trial, which used high quality IR measurements of the CFAV Quest in an effort to refine the NTCS/ShipIR model. The technique is general and applicable to any band(s) of interest. Results are presented which verify that the use of in-band averaged transmittance over an IR band (3.5-5.0 μm), partitioned using three optimal sub-bands, produces an IR ship image with an average contrast radiance within the desired error bar of a spectrally generated ship image's average contrast radiance.

Paper Details

Date Published: 14 August 2003
PDF: 10 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.498025
Show Author Affiliations
Patrick C. Shaw, Naval Research Lab. (United States)
Robert Eugene Gover, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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