Paper
19 August 2011 Modified radon-Fourier transform for reflective tomography laser radar imaging
Xiaofeng Jin, Jianfeng Sun, Yi Yan, Yu Zhou, Liren Liu
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofeng Jin, Jianfeng Sun, Yi Yan, Yu Zhou, and Liren Liu "Modified radon-Fourier transform for reflective tomography laser radar imaging", 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); https://doi.org/10.1117/12.900227
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Cited by 1 scholarly publication.
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KEYWORDS
Tomography

Reflectivity

LIDAR

Image restoration

Detection and tracking algorithms

Reconstruction algorithms

Computer simulations

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