Title :
A sub-space method for high resolution bathymetry
Author :
Antoniou, Andreas ; Pillai, S. Radhakrishnan
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
To increase the accuracy and the rate of coverage of a given area in shallow coastal waters, light-detection and ranging (lidar) airborne laser ranging systems have been introduced. A new formulation for ocean-depth measurement using the frequency-domain approach as proposed. This technique uses a high-resolution eigensubspace method to estimate the ocean-depth from backscattered noisy data. The problem is addressed for complex attenuation coefficients by utilizing a double eigenstructure decomposition procedure on a Hankel matrix structure. The approach is similar to obtaining the best rational approximation that fits the actual measured data in a least-square sense
Keywords :
Hankel matrices; airborne radar; bathymetry; eigenvalues and eigenfunctions; frequency-domain analysis; geophysical signal processing; laser ranging; matrix decomposition; oceanographic techniques; optical radar; radar applications; remote sensing by laser beam; signal resolution; spatial variables measurement; Hankel matrix structure; airborne laser ranging systems; backscattered noisy data; complex attenuation coefficients; double eigenstructure decomposition procedure; frequency-domain approach; high resolution bathymetry; high-resolution eigensubspace method; least squares method; lidar; light detection and ranging; measured data; ocean depth measurement; rational approximation; shallow coastal waters; subspace method; Oceanographic techniques; Oceans; Optical pulses; Optical reflection; Particle scattering; Rough surfaces; Sea measurements; Sea surface; Surface emitting lasers; Surface roughness;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550530