Prof. Lisheng Xu Profile

Prof. Lisheng Xu

at Chengdu Univ of Information Technology

SPIE Involvement:

Author

Proceedings Article | 19 May 2006 Paper

New approach for choice of time delay in nonlinear time series of satellite remote sensing of rainstorms

Lisheng Xu, Jilie Ding, Xiuwan Chen

Proceedings Volume 6199, 61990J (2006) https://doi.org/10.1117/12.673668

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Proceedings Article | 30 November 2004 Paper

New approach for studies of time series of satellite observations of rainstorms: I. Mutual information calculations

Lisheng Xu, Yongzhong Wang, Jilie Ding, Andrew Cheng, Xiuwan Chen, Lian Duan

Proceedings Volume 5571, (2004) https://doi.org/10.1117/12.567830

KEYWORDS: Satellites, Remote sensing, Reconstruction algorithms, Earth observing sensors, Algorithm development, Nonlinear dynamics, Chaos, Atmospheric optics, Atmospheric sensing, Computer simulations

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Proceedings Article | 30 November 2004 Paper

New approach for studies of time series of satellite observations of rainstorms: III. Extraction of periodic components

Yongzhong Wang, Lisheng Xu, Jilie Ding, Andrew Cheng, Xiuwan Chen, Lian Duan

Proceedings Volume 5571, (2004) https://doi.org/10.1117/12.567849

KEYWORDS: Satellites, Interference (communication), Earth observing sensors, Remote sensing, Algorithm development, Nonlinear optics, Atmospheric sensing, Chaos, Analytical research, Stochastic processes

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Proceedings Article | 30 November 2004 Paper

New approach for studies of time series of satellite observations of rainstorms: II. The mutual information dimensions

Lisheng Xu, Yongzhong Wang, Jilie Ding, Andrew Cheng, Xiuwan Chen, Lian Duan

Proceedings Volume 5571, (2004) https://doi.org/10.1117/12.567842

KEYWORDS: Fractal analysis, Information theory, Satellites, Complex systems, Dynamical systems, Earth observing sensors, Remote sensing, Time series analysis, Atmospheric sensing, Chaos theory

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Proceedings Article | 9 April 2003 Paper

New approach for determination of time delay for reconstruction of phase space from time series of satellite observations

Lisheng Xu, Jilie Ding, Gangyi Chen

Proceedings Volume 4891, (2003) https://doi.org/10.1117/12.466771

KEYWORDS: Satellites, Earth observing sensors, Remote sensing, Nonlinear optics, Atmospheric optics, Algorithm development, Satellite imaging, Statistical analysis, Time series analysis, Image analysis

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SPIE Journal Paper | 1 September 2002

Light scattering characteristics by small ice cirular cylinders in visible, 1.38-um, and some infrared wavelengths

Jilie Ding, Lisheng Xu

OE, Vol. 41, Issue 09, (September 2002) https://doi.org/10.1117/12.10.1117/1.1495858

KEYWORDS: Light scattering, Scattering, Crystals, Particles, Crystallography, Visible radiation, Clouds, Optical engineering, Remote sensing, Satellites

Proceedings Article | 28 February 2002 Paper

How precisely must an equation describe the return signal of a spaceborne lidar system to allow for the retrieval of cloud parameters?

Anatoli Borovoi, Jilie Ding, Ulrich Oppel, Martin Wengenmayer, Lisheng Xu

Proceedings Volume 4678, (2002) https://doi.org/10.1117/12.458455

KEYWORDS: LIDAR, Multiple scattering, Clouds, Scattering, Signal attenuation, Photons, Monte Carlo methods, Receivers, Mass attenuation coefficient, Distance measurement

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The return of a spaceborne lidar system contains essential contributions form multiple scattering. Hence, methods for the retrieval of cloud parameters from such returns must be based on equations which take into account such multiple scattering. The more precisely this is done the more complicated these equations will be and the less changes are to be able to retrieve the parameters. At least this is true for retrieval procedures which are based on solving integro- differential equations. Hence, in such a case it is necessary to use simplified equations to describe such returns. Such simplified equations may be equations which introduce a correction term into the classical (single scattering) lidar equation or which take into account one or two orders of multiple scattering only or which have the for of some sophisticated exponential series including knowledge of depolarization. Of course, it is necessary to check the validity of such approximative multiple scattering lidar equations. We show simulations of lidar returns from different clouds. These simulations are obtained by variance reduction Monte Carlo methods which are based on an exact multiple scattering lidar equation obtained within the framework of a stochastic model from the transport of polarized light through the atmosphere. These simulations demonstrate the great importance of the contributions from multiple scattering to the return signal, the diffusion of the laser beam in the cloud seen from the receiver, the difficulty of determining the type and the location of the particles contributing to the return, and the need of careful analysis of returns of spaceborne lidar systems. We show simulations of such returns from clouds of aerosols (randomly oriented oblate and prolate spheroids) and a sensitivity analysis for such returns from water clouds with varying extinction coefficient and droplet size distribution. The simulations and the sensitivity analysis clearly show that the validity of retrieval procedures based on approximative multiple scattering lidar equations has to be examined with care.

Proceedings Article | 31 January 2002 Paper

Representation of a multiple scattering lidar return from layers of clouds by a multidimensional distribution characterizing the contributions of the diffusion of the emitted beam

Ulrich Oppel, Andrew Cheng, Jilie Ding, Sergei Prigarin, Martin Wengenmayer, Lisheng Xu

Proceedings Volume 4539, (2002) https://doi.org/10.1117/12.454436

KEYWORDS: LIDAR, Scattering, Clouds, Diffusion, Multiple scattering, Atmospheric modeling, Receivers, Laser scattering, Atmospheric particles, Aerosols

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Proceedings Article | 31 January 2002 Paper

Scattering characteristics by small ice particles in infrared wavelengths

Jilie Ding, Lisheng Xu

Proceedings Volume 4539, (2002) https://doi.org/10.1117/12.454449

KEYWORDS: Scattering, Crystals, Infrared radiation, Light scattering, Particles, Remote sensing, Infrared sensors, Crystallography, Atmospheric sensing, Clouds

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Proceedings Article | 31 January 2002 Paper

Light scattering characteristics by small ice particles with different size distributions and aspect ratios in visible and 1.38 um wavelengths

Lisheng Xu, Jilie Ding

Proceedings Volume 4539, (2002) https://doi.org/10.1117/12.454448

KEYWORDS: Light scattering, Scattering, Particles, Remote sensing, Crystals, Atmospheric particles, Visible radiation, Atmospheric modeling, Atmospheric sciences, Atmospheric sensing

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Proceedings Article | 18 August 1998 Paper

Studies on remote sensing of cirrus cloud properties using near- and far-infrared water vapor bands

Lisheng Xu

Proceedings Volume 3501, (1998) https://doi.org/10.1117/12.317721

KEYWORDS: Clouds, Water, Scattering, Remote sensing, Crystals, Particles, Atmospheric modeling, Satellites, Absorption, Atmospheric particles

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Proceedings Article | 1 January 1997 Paper

Scattering phase function of polydispersions of randomly oriented hexagonal ice crystals

Lisheng Xu, Guotong Zhang, Jilie Ding, Tamio Takamura

Proceedings Volume 3220, (1997) https://doi.org/10.1117/12.301160

KEYWORDS: Scattering, Crystals, Particles

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Proceedings Article | 29 June 1994 Paper

Radiative properties of cirrus and water clouds in visible, near-IR and IR spectra, and their applications in remote sensing

Lisheng Xu, Jianyun Zhang, Guotong Zhang, Gang Luo, Hongbin Chen

Proceedings Volume 2222, (1994) https://doi.org/10.1117/12.177974

KEYWORDS: Clouds, Infrared radiation, Water, Scattering, Remote sensing, Visible radiation, Infrared sensors, Multiple scattering, Technetium, Atmospheric modeling

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Showing 5 of 13 publications

Conference Committee Involvement (1)

12th International Workshop on Lidar Multiple Scattering Experiments

10 September 2002 | Oberpfaffenhofen, Germany

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