Share Email Print
cover

Proceedings Paper

Incorporation of texture in multispectral synthetic image generation tools
Author(s): John R. Schott; Carl Salvaggio; Scott D. Brown; R. A. Rose
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 2 June 1995
PDF: 8 pages
Proc. SPIE 2469, Targets and Backgrounds: Characterization and Representation, (2 June 1995); doi: 10.1117/12.210590
Show Author Affiliations
John R. Schott, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)
Scott D. Brown, Rochester Institute of Technology (United States)
R. A. Rose, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2469:
Targets and Backgrounds: Characterization and Representation
Wendell R. Watkins; Dieter Clement, Editor(s)

© SPIE. Terms of Use
Back to Top