David Joseph


The Digital Imaging Remote Sensing Image Generation (DIRSIG) model is a synthetic image generation (SIG) tool developed by the Digital Imaging/Remote Sensing (DIRS) group at Rochester Institute of Technology's (RIT) Center for Imaging Science (CIS). Validation of a series of DIRSIG scenes over a broad spectral range has been presented. The validation scenario makes use of airborne and ground truth data collected during the Western Rainbow study conducted from October 18 24, 1995 at the United States Army Proving Ground in Yuma, Arizona. Three sensors were simulated in the validation scenario: the Daedalus multispectral sensor, the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and the Spatially Enhanced Broadband Array Spectrograph System (SEBASS), and collectively, they covered the spectrum from 0.4 to 14 microns. As part of the study, various emissivity extraction techniques have been reviewed, and DIRSIG's potential as an imaging spectroscopy tool in the 8 to 14 |a,m atmospheric window has been evaluated. One procedure: the Planck curve fitting technique, has been implemented and utilized with DIRSIG, SEBASS and ground truth data to extract emissivity spectra.

Library of Congress Subject Headings

Remote sensing--Data processing--Evaluation; Imaging systems--Digital techniques--Evaluation; Infrared imaging--Evaluation

Publication Date


Document Type


Student Type


Degree Name

Imaging Science (MS)

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


Schott, John

Advisor/Committee Member

Mason, John

Advisor/Committee Member

Raqueno, Rolando


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1570 .J67 1998


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