Publications in Scientific Journals:

Y. Wang, J. Zhang, A. Roncat, C Künzer, W. Wagner:
"Regularizing method for the determination of the backscatter cross section in lidar data";
Journal of the Optical Society of America A, 26 (2009), 5; 1071 - 1079.

English abstract:
The retrieval of the backscatter cross section in lidar data is of great interest in remote sensing. For the numerical
calculation of the backscatter cross section, a deconvolution has to be performed; its determination is
therefore an ill-posed problem. Most of the common techniques, such as the well-known method of Gaussian
decomposition, make implicit assumptions on both the emitted laser pulse and the scatterers. It is well understood
that a land surface is quite complicated, and in many cases it cannot be composed of pure Gaussian
function combinations. Therefore the assumption of Gaussian decomposition of waveforms may be invalid
sometimes. In such cases an inversion method might be a natural choice. We propose a regularizing method
with a posteriori choice of the regularizing parameter for solving the problem. The proposed method can alleviate
difficulties in numerical computation and can suppress the propagation of noise. Numerical evidence is
given of the success of the approach presented for recovering the backscatter cross section in lidar data.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.