Scene Generation

The ability to generate a wide range of synthetic scenes with measured and controlled environmental variables that mimic the real environment is essential for precise EO/IR system performance validation and verification.

Modeling these physical characteristics is a non-trival problem requiring innovative techniques and detailed phenomenology knowledge. CPI has extensive experience and subject matter expertise in the areas of radiative transfer modeling, remote sensing, atmospheric correction algorithms, and scientific data sets.

Based on years of scientific research, CPI has developed physics-based background scene generation tools, seeded with SBIR funding, that render detailed images of terrain, atmosphere, and oceans in specified regions of the electromagnetic spectrum.

Whether you need to discrimate a radiative ocean background from a floating target or test your sensor’s ability to track a moving target against a sunlit background, CPI can help you generate high-fidelity background scenes.

GAIA™ is a physics-based model for accurately and rapidly generating terrain and cloud imagery in the UV, visible and IR for any location on Earth at any time of year.

OCEANUS™ is a physics-based ocean background scene model for accurately calculating water-leaving radiance in the ultraviolet (UV), visible, and infrared (IR) portions of the spectrum (0.2 – 50 microns) as a function of time, location, and sea state.

Dr. Jennifer Tate

Scene Generation Lead

Dr. Jennifer Tate maintains CPI's atmospheric radiative transfer codes, synthetic scene generation models, and atmospheric correction tools.  She has served as Co-Investigator on two Missile Defense Agency Phase II SBIR projects for the development of large-scale physics-based models for synthetic scene generation: the GAIA™ model for generating terrain and cloud imagery, and the OCEANUS™ model for generating background ocean scenes.

In support of these models Dr. Tate has also been involved in the development of the AETHER™ atmospheric radiative transfer model, which supplies inputs for both GAIA™ and OCEANUS™.  Dr. Tate received her Ph.D. in physics from The Ohio State University in 2004.



Tate, J. L. and W. M. Cornette, An Overview of the CREATIONS™ Software Suite for Simulating High Fidelity Imagery, Proceedings of the 35th Review of Atmospheric Transmission Models Meeting (2014).

Cornette, W. M. and W. D. Miller, Creation of a Global UV-VIS-IR Ocean Background Model that is a Function of Time, Location, and Sea State: The OCEANUS Model. CPI-5182-WMC-002 (2010).

Poole, C.J., W.M. Cornette, and D.R. Crow, Integrated UV/VIS/IR Background Phenomenology Models for Radiation Transport System Trades: GAIA. W9113M-09-C-0101 (2009).