Multisensor image correction technique using selected variables and biased estimation model

Lianfa Bai; Weixian Qian; Yi Zhang; Baomin Zhang

doi:10.1117/12.467883

11 June 2003 Multisensor image correction technique using selected variables and biased estimation model

Lianfa Bai, Weixian Qian, Yi Zhang, Baomin Zhang

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467883
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

In many case, the traditional image geometric calibration method, i.e. polynomial warping will not accommodate the precision transformation required. So the least square method is often used to improve the precision. But because of the multi-relation, the calibration is not so good as expected. In this paper, the theory and experiment studies on the traditional least square method used in image calibration are carried out systematically. With regard to the diversity of image distortion, the selected variables method is applied, which smartly analyses the variables of transformation equation of different images. Through reducing the variables unnecessary, the multi-relation is reduced. Then the ridge-regression is employed, in which the biased estimation is used to solve the huge confidence interval problem that is resulted by multi-relation. The theory and experiment results show that by using this new technique, the multi-relation is reduced and the precision is improved apparently.

Citation Download Citation

Lianfa Bai, Weixian Qian, Yi Zhang, and Baomin Zhang "Multisensor image correction technique using selected variables and biased estimation model", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467883

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