Automatic indexing system for atmospheric laser radar data

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dc.contributor.authorLerkvaranyu, S.
dc.contributor.authorMiyanaga, Y.
dc.contributor.authorDejhan, K.
dc.contributor.authorCheevasuvit, F.
dc.contributor.authorMizutani, K.
dc.date.accessioned2026-08-06T09:51:20Z
dc.date.available2026-08-06T09:51:20Z
dc.date.issued2002-01-01
dc.description.abstractThe 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.
dc.identifier.citationIEEE Asia Pacific Conference on Circuits and Systems Proceedings Apccas, 2, 237-240, 2002
dc.identifier.doi10.1109/APCCAS.2002.1115208
dc.identifier.other2-s2.0-84948956446
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/500
dc.sourceIEEE Asia Pacific Conference on Circuits and Systems Proceedings Apccas
dc.subjectAerosols
dc.subjectArtificial neural networks
dc.subjectAtmosphere
dc.subjectAtmospheric measurements
dc.subjectLaser radar
dc.subjectMachine assisted indexing
dc.subjectOptical scattering
dc.subjectRadar imaging
dc.subjectRadar remote sensing
dc.subjectRadar scattering
dc.titleAutomatic indexing system for atmospheric laser radar data
dc.typeConference Paper

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