Incorporation of texture in multispectral synthetic image generation tools

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Title: Incorporation of texture in multispectral synthetic image generation tools
Author: Schott, John; Salvaggio, Carl; Brown, Scott; Rose, Robert
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 jim. The model embodies a rigorous end-to-end speciral modeling of radiation propagation, absorption and scattering, target temperatures based on meteorological history, extensive directional target-background interactions and detector responsivities.1 This paper describes texture quantification, the spectral-spatial correlation of textures, texture collection and generation methods. Finally, we will describe how DIRSIG generates texture on a pixel by pixel basis and maintains the spectral correlation of targets between bands.
Description: RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/
Record URI: http://hdl.handle.net/1850/4230
Publishers URL: http://dx.doi.org/10.1117/12.210590
Date: 1995-06

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