Instrumentation for obtaining best-image surface in remote-sensing optoelectronic systems

Alexandre I. Baklanov; Alexander S. Zabiyakin; Maxim V. Klushnikov

doi:10.1117/12.365929

19 October 1999 Instrumentation for obtaining best-image surface in remote-sensing optoelectronic systems

Alexandre I. Baklanov, Alexander S. Zabiyakin, Maxim V. Klushnikov

Proceedings Volume 3901, Photonics for Transportation; (1999) https://doi.org/10.1117/12.365929
Event: Photonics for Transportation, 1999, Prague, Czech Republic

Abstract

Instrumentation for high-precision in-flight focusing of on- board optoelectronic equipment is described. The first part of the paper gives an overview of the existing focusing techniques and describes their application for particular remote sensing task solutions. A comparison of different methods is made, the accuracy provided by each method is assessed and one of the best techniques--a contrast method-- is considered. This method is shown to provide high precision--5 micrometers or better. The second part describes a mathematical model of instrumentation using this method. It includes a diffraction modulation transfer function (MTF), an MTF related to optical system aberrations and an optical system defocusing MTF. The simulation results are shown and respective recommendations are given.

Citation Download Citation

Alexandre I. Baklanov, Alexander S. Zabiyakin, and Maxim V. Klushnikov "Instrumentation for obtaining best-image surface in remote-sensing optoelectronic systems", Proc. SPIE 3901, Photonics for Transportation, (19 October 1999); https://doi.org/10.1117/12.365929

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