Automatic indexing system for atmospheric laser radar data

Author

Lerkvaranyu, Somkiat ; Miyanaga, Yoshikazu ; Dejhan, Kobchai ; Cheevasuvit, Fusak ; Mizutani, Kohei

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

2

fYear

2002

fDate

2002

Firstpage

237

Abstract

The purpose of this paper is to design a new method for an automatic indexing system with unsupervised conditions. In this paper, the method of a self-organizing clustering network is adopted. It is used to classify and index a large amount of real atmospheric laser radar data. Initially, the parameters of each cluster will start with random initial values and are adapted with the algorithm. In this paper, six groups are clustered from the given data. It is also shown that some of these indicate quite important atmospheric condition characteristics.

Keywords

atmospheric techniques; classification; data analysis; indexing; neural nets; optical radar; remote sensing by laser beam; adaptive algorithms; atmospheric condition characteristics; atmospheric laser radar data automatic indexing systems; data classification; data classifiers; data clustering; random initial value cluster parameters; self-organizing clustering networks; self-organizing neural networks; unsupervised conditions indexing systems; Aerosols; Artificial neural networks; Atmosphere; Atmospheric measurements; Laser radar; Machine assisted indexing; Optical scattering; Radar imaging; Radar remote sensing; Radar scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on

Print_ISBN

0-7803-7690-0

Type

conf

DOI

10.1109/APCCAS.2002.1115208

Filename

1115208