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Proceedings Paper

Modified radon-Fourier transform for reflective tomography laser radar imaging
Author(s): Xiaofeng Jin; Jianfeng Sun; Yi Yan; Yu Zhou; Liren Liu
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Paper Abstract

This paper presents imaging result of computer simulation using a modified Radon-Fourier transform algorithm to reconstruct images from reflective tomography data. Since the signal returned is reflected off the illuminated outer surface of an opaque target, only information about the exterior of the target can be obtained, and the images reconstructed using reflective tomography techniques is an outline view of the target cross section. The projection p(r,φ ) and p(r,φ + 180°) contain different information about the target surface, and will lead different Fourier estimates along the same line through the origin based on the standard Fourier-Slice tomography theorem. Here, using the functional similarity between transmission tomography and reflective tomography, we add the collinear reflective projections to become corresponding transmissive projections before Fourier transform. Then the target can be reconstructed from the Fourier domain using the same operations in transmission tomography. The computer simulation result demonstrates the effectiveness of this modified algorithm to reconstruct image in reflective tomography using the diffuse reflection model (lamberts body). Future research will include the development of image reconstruction based on this modified algorithm for targets with much more complicated reflective characters.

Paper Details

Date Published: 19 August 2011
PDF: 9 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81921S (19 August 2011); doi: 10.1117/12.900227
Show Author Affiliations
Xiaofeng Jin, Shanghai Institute of Optics and Fine Mechanics (China)
Jianfeng Sun, Shanghai Institute of Optics and Fine Mechanics (China)
Yi Yan, Shanghai Institute of Optics and Fine Mechanics (China)
Yu Zhou, Shanghai Institute of Optics and Fine Mechanics (China)
Liren Liu, Shanghai Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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