Description
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.
Date of creation, presentation, or exhibit
6-2-1995
Document Type
Conference Paper
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Recommended Citation
John R. Schott, Carl Salvaggio, Scott D. Brown, R. A. Rose, "Incorporation of texture in multispectral synthetic image generation tools", Proc. SPIE 2469, Targets and Backgrounds: Characterization and Representation, (2 June 1995); doi: 10.1117/12.210590; https://doi.org/10.1117/12.210590
Campus
RIT – Main Campus
Comments
Copyright 1995 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.