Simulation of spaceborne optical sensor data: I. Modeling capabilities with examples

James E. Bishop; John Persing; Douglas J. Strickland; J. Scott Evans; Robin J. Cox; Donald E. Anderson Jr.; Larry J. Paxton; Daniel Morrison; Gerald J. Romick; Ching-I. Meng

doi:10.1117/12.257194

8 November 1996 Simulation of spaceborne optical sensor data: I. Modeling capabilities with examples

James E. Bishop, John Persing, Douglas J. Strickland, J. Scott Evans, Robin J. Cox, Donald E. Anderson Jr., Larry J. Paxton, Daniel Morrison, Gerald J. Romick, Ching-I. Meng

Author Affiliations +

Proceedings Volume 2831, Ultraviolet Atmospheric and Space Remote Sensing: Methods and Instrumentation; (1996) https://doi.org/10.1117/12.257194
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Numerous instruments for UV-visible optical measurements of terrestrial backgrounds have recently flown or are scheduled for launch in the near future. In order to maximize the scientific return from such flight opportunities, simulations of data acquired by imaging and spectrographic imaging instruments spanning wide wavelength ranges are required to support experiment planning and post-launch data analysis/fusion activities. We are currently developing comprehensive capabilities for modeling these types of remote sensing data suitable for a number of mission-support applications, with specific focus on data acquired by the UVISI instruments on the Midcourse Space Experiment satellite. These capabilities are described in this presentation. The core modeling capabilities reside in a suite of well-tested first principles and empirical modeling codes for atmospheric radiances arising from a variety of physical processes (e.g., photoelectron impact excitation, Rayleigh and aerosol scattering, solar resonance and resonant fluorescence scattering, chemistry). Image generation and LOS spectral radiance evaluation techniques permitting continual change in observer location and viewing geometry without incurring large computational burdens have been set up to ingest the radiance modeling results to create high fidelity synthetic satellite data. Illustrative examples are presented.

Citation Download Citation

James E. Bishop, John Persing, Douglas J. Strickland, J. Scott Evans, Robin J. Cox, Donald E. Anderson Jr., Larry J. Paxton, Daniel Morrison, Gerald J. Romick, and Ching-I. Meng "Simulation of spaceborne optical sensor data: I. Modeling capabilities with examples", Proc. SPIE 2831, Ultraviolet Atmospheric and Space Remote Sensing: Methods and Instrumentation, (8 November 1996); https://doi.org/10.1117/12.257194

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Atmospheric modeling

Device simulation

Imaging systems

Data conversion

Rayleigh scattering

Data acquisition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years