Generating physics-based synthetic data for infrared/electro-optical system analysis and design

Özgür Murat Polat; Yücel Cengiz Özer

doi:10.1117/12.2646448

3 October 2022 Generating physics-based synthetic data for infrared/electro-optical system analysis and design

Özgür Murat Polat, Yücel Cengiz Özer

Proceedings Volume 12215, Optical Modeling and Performance Predictions XII; 1221505 (2022) https://doi.org/10.1117/12.2646448
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

For design, testing and optimization of infrared systems, generation of big physics based synthetic data is very important, since it is impossible to collect data with experiments only. In order to create such a big radiometric data, an end-to-end synthetic simulation approach is so useful. For generating radiometric data in imaging chain from object space to the system detector output considering environmental and system effects; the parameter space in rendering pipeline can be scanned throughout imaging chain. Therefore, target, environment, electro-optical/infrared system parameter space and related radiometric data outputs of the sensor construct the big physics based data all together. Also, relative motion between the observed object and the observer is another source of physical data. In this paper, the main components and parameter space of the radiometric data are described and some example complex background scene outputs which are generated with 3D rendering are demonstrated. In addition, results of a laboratory (experimental) validation effort are discussed, which show the validity of the mathematical approach applied in generation of the radiometric data. These laboratory experiments show that when the inputs are correctly defined, the data can be generated very close to real measurements, i.e. physical reality can be synthetically generated at acceptable levels of error.

Conference Presentation

Citation Download Citation

Özgür Murat Polat and Yücel Cengiz Özer "Generating physics-based synthetic data for infrared/electro-optical system analysis and design", Proc. SPIE 12215, Optical Modeling and Performance Predictions XII, 1221505 (3 October 2022); https://doi.org/10.1117/12.2646448

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