2019
DOI: 10.1117/1.oe.58.2.025103
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Comparison of empirical and predicted ultraviolet aircraft signatures

Abstract: In light of the potential threat to aircraft from missiles using Ultra Violet (UV) wavebands, it is important to understand the signature of an aircraft and how this can be predicted. This study compares empirical UV signature data to modelled data from CAMouflage Electro-Optical SIMulation (CAMEOSIM) to determine how well the contrast between the object and the background can be predicted using local knowledge of the atmosphere. CAMEOSIM uses the standard MODerate resolution atmospheric TRANsmission (MODTRAN)… Show more

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Cited by 4 publications
(2 citation statements)
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References 7 publications
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“…Therefore, as shown in Figure 2A and Figure S3 (Supporting Information), a general method for calculating the diffraction point position of oblique incidence is proposed based on the conical diffraction theory. [61] To elucidate the multiple conical grating diffraction model, the first step involves establishing the spatial configuration of the encryption system, which comprises two gratings and a record screen. The direction of incident light perpendicular to two grating planes is defined as Y axis, and the horizontal plane where the record screen is located is XOZ plane.…”
Section: Dynamic Optical Encryption Principle Of Mcwgesmentioning
confidence: 99%
“…Therefore, as shown in Figure 2A and Figure S3 (Supporting Information), a general method for calculating the diffraction point position of oblique incidence is proposed based on the conical diffraction theory. [61] To elucidate the multiple conical grating diffraction model, the first step involves establishing the spatial configuration of the encryption system, which comprises two gratings and a record screen. The direction of incident light perpendicular to two grating planes is defined as Y axis, and the horizontal plane where the record screen is located is XOZ plane.…”
Section: Dynamic Optical Encryption Principle Of Mcwgesmentioning
confidence: 99%
“…This, in turn, will require knowledge of the material property in the scene, such as the types of plants and their optical characteristics, to be known precisely as the input of HSI simulator. In many cases, the detailed material properties of the scene are not known and typically only the broadband RGB, or the multispectral image (MSI) of the scene, is available [4,5]. One approach to solving the problem is to reconstruct the materials of the scene through a learned dictionary to deduce the endmember (EM) characteristics of the scene through an unmixing algorithm [6,7], Equation (1).…”
Section: Introductionmentioning
confidence: 99%