<title>Incorporation of texture in multispectral synthetic image generation tools</title>

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.