A new target reconstruction method considering atmospheric refraction

Zhengrong Zuo; Lijuan Yu

doi:10.1117/12.2205787

14 December 2015 A new target reconstruction method considering atmospheric refraction

Zhengrong Zuo, Lijuan Yu

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120R (2015) https://doi.org/10.1117/12.2205787
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In this paper, a new target reconstruction method considering the atmospheric refraction is presented to improve 3D reconstruction accuracy in long rang surveillance system. The basic idea of the method is that the atmosphere between the camera and the target is partitioned into several thin layers radially in which the density is regarded as uniform; Then the reverse tracking of the light propagation path from sensor to target was carried by applying Snell’s law at the interface between layers; and finally the average of the tracked target’s positions from different cameras is regarded as the reconstructed position. The reconstruction experiments were carried, and the experiment results showed that the new method have much better reconstruction accuracy than the traditional stereoscopic reconstruction method.

Citation Download Citation

Zhengrong Zuo and Lijuan Yu " A new target reconstruction method considering atmospheric refraction", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120R (14 December 2015); https://doi.org/10.1117/12.2205787

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