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: "Incorporation of texture in multispectral synthetic image generation tools," Proceedings of the SPIE, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, Vol. 2469. The International Society of Optical Engineers. Held in Orlando, Florida: April 1995. This paper is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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Date: 1995-04

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