Incorporation of texture in multispectral synthetic image generation tools

John R. Schott; Carl Salvaggio; Scott D. Brown; R. A. Rose

doi:10.1117/12.210590

2 June 1995 Incorporation of texture in multispectral synthetic image generation tools

John R. Schott, Carl Salvaggio, Scott D. Brown, R. A. Rose

Proceedings Volume 2469, Targets and Backgrounds: Characterization and Representation; (1995) https://doi.org/10.1117/12.210590
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The digital imaging and remote sensing synthetic image generation (DIRSIG) model emphasizes quantitative prediction of the radiance reaching sensors with bandpass values between 0.28 and 20.0 micrometers . The model embodies a rigorous end-to-end spectral modeling of radiation propagation, absorption and scattering, target temperatures based on meteorological history, extensive directional target-background interactions, and detector responsivities. This paper describes texture quantification, the spectral-spatial correlation of textures, texture collection and generation methods. Finally, we describe how DIRSIG generates texture on a pixel by pixel basis and maintains the spectral correlation of targets between bands.

Citation Download Citation

John R. Schott, Carl Salvaggio, Scott D. Brown, and R. A. Rose "Incorporation of texture in multispectral synthetic image generation tools", Proc. SPIE 2469, Targets and Backgrounds: Characterization and Representation, (2 June 1995); https://doi.org/10.1117/12.210590

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