Imaging resolution analysis using Fourier-Slice theorem in reflective tomography laser radar

Yi Yan; Xiaofeng Jin; Shuping Zhou; Jianfeng Sun; Liren Liu

doi:10.1117/12.2023544

19 September 2013 Imaging resolution analysis using Fourier-Slice theorem in reflective tomography laser radar

Yi Yan, Xiaofeng Jin, Shuping Zhou, Jianfeng Sun, Liren Liu

Proceedings Volume 8868, Infrared Sensors, Devices, and Applications III; 88680V (2013) https://doi.org/10.1117/12.2023544
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Reflective tomography is one of the most promising high-resolution imaging methods for the remote objects. But in practical application, because of the sampling angle error and limited view of projections in signal collecting process, anisotropic resolution is inevitable and the reconstruction image quality of reflective tomography system degrades. In this paper, the theoretical imaging resolution derived from Fourier-Slice theorem is presented, computer simulation and experimental verification are also given. Imaging analysis in this paper will make a complement and perfection of the theory in reflective tomography imaging ladar.

Citation Download Citation

Yi Yan, Xiaofeng Jin, Shuping Zhou, Jianfeng Sun, and Liren Liu "Imaging resolution analysis using Fourier-Slice theorem in reflective tomography laser radar", Proc. SPIE 8868, Infrared Sensors, Devices, and Applications III, 88680V (19 September 2013); https://doi.org/10.1117/12.2023544

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