Paper
28 November 2011 Lidar reflective tomography imaging for space object
Fuqi Qu, Yihua Hu
Author Affiliations +
Proceedings Volume 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 820015 (2011) https://doi.org/10.1117/12.904809
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China
Abstract
Lidar reflective tomography imaging has been shown a technology to obtain high resolution image of remote object, and has great application value in the field of space object surveillance and identification. In this paper, the fundamental of lidar reflective tomography imaging is given, some key issues of ground-based lidar reflective tomography imaging of space object are analyzed: the long-range detection and high range resolution is obtained by using chirp transmit signals, the usefulness of these range data for use in reflective topographic reconstruction of space object image is discussed; atmospheric turbulence effects on the reflective tomography is analyzed, which shows that 10.6μm lidar reflective tomography is not sensitive to atmospheric turbulence under certain receiving aperture; in order to resolve the question of incomplete detection angles in space target reflective tomography, regularization method is applied, the homotopy parameter is adopted in order to fix the weight coefficient efficiently, accuracy of image reconstruction has been improved. At last, the simulation results of satellite model validate the feasibility of this technical scheme.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fuqi Qu and Yihua Hu "Lidar reflective tomography imaging for space object", Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820015 (28 November 2011); https://doi.org/10.1117/12.904809
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Cited by 1 scholarly publication.
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KEYWORDS
Reflectivity

Tomography

LIDAR

Signal detection

Satellites

Atmospheric turbulence

Target detection

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