Parametric optimization of imaging system based on minimization of image distortion

Volodymyr N. Borovytsky; Valery V. Fesenko; Pavel A. Zavorotny; Anatoly V. Molodyk

doi:10.1117/12.317842

18 August 1998 Parametric optimization of imaging system based on minimization of image distortion

Volodymyr N. Borovytsky, Valery V. Fesenko, Pavel A. Zavorotny, Anatoly V. Molodyk

Proceedings Volume 3505, Imaging System Technology for Remote Sensing; (1998) https://doi.org/10.1117/12.317842
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

The paper describes an approach to parametric optimization of an IR imaging system. This approach is based on minimization of image distortion of a multi-bar test object. The quality of imaging system is defined by a probability of correct pixel classification. This probability characterizes an error of image binarization. The paper represents the mathematical model that binds the probability of correct pixel classification with parameters of an imaging system such as focal length, aperture diameter, dimensions of photosensitive element, integration time and etc. It allows to get the merit function for parametric optimization and to identify the optimal relationship between spatial resolution and temperature resolution.

Citation Download Citation

Volodymyr N. Borovytsky, Valery V. Fesenko, Pavel A. Zavorotny, and Anatoly V. Molodyk "Parametric optimization of imaging system based on minimization of image distortion", Proc. SPIE 3505, Imaging System Technology for Remote Sensing, (18 August 1998); https://doi.org/10.1117/12.317842

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