The model-based approach to wavefront sensorless adaptive optics in space remote imaging system

Xiaofeng Ren; Xiaofang Zhang; Biru Wang; Ni An

doi:10.1117/12.904852

5 December 2011 The model-based approach to wavefront sensorless adaptive optics in space remote imaging system

Xiaofeng Ren, Xiaofang Zhang, Biru Wang, Ni An

Proceedings Volume 8197, 2011 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments; 81970Z (2011) https://doi.org/10.1117/12.904852
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China

Abstract

Adaptive optics is one of the most effective techniques for high resolution imaging. The adaptive optics system without wave front sensor is required in many applications. In a wave front sensorless adaptive optics system, the wave front aberration is derived from the image quality metric function through given algorithm. In this paper we study the optimization model based wave front sensorless adaptive optics correction approach and its application in space remote sensing imaging. The application efficiency of the algorithm depends on related parameters in the algorithm such as the spatial frequency range of image and the biases. In this paper we present a new selection method of the biases, give a reference spatial frequency range and promote the algorithm to improve the correction accuracy. At last we present the performance of model-based wave front sensorless adaptive optics scheme for space remote imaging through simulation.

Citation Download Citation

Xiaofeng Ren, Xiaofang Zhang, Biru Wang, and Ni An "The model-based approach to wavefront sensorless adaptive optics in space remote imaging system", Proc. SPIE 8197, 2011 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 81970Z (5 December 2011); https://doi.org/10.1117/12.904852

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