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Urban features classification using 3D hyperspectral data

  • Norwegian Defence Research Establishment

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

The surface classification of heterogeneous urban areas can be refined using the integration of spectral and 3D information. However, pixel-classification based fusion requires semi-pixel geo-registration accuracy. In this paper the 3D information is obtained from the hyperspectral data set itself. This study presents an adaptation of optimized MRF based stereo matching for the creation of 3D scenes using hyperspectral data. The obtained 3D information is integrated into a SVM classifier procedure. The results obtained in this study show the potential in the creation of 3D scenes using hyperspectral data and the benefit of combining this data with spectral information for better classification of the urban materials.

Originele taal-2Engels
Titel2013 5th Workshop on Hyperspectral Image and Signal Processing
SubtitelEvolution in Remote Sensing, WHISPERS 2013
UitgeverijInstitute of Electrical and Electronics Engineers Inc.
ISBN van elektronische versie9781509011193
DOI's
StatusGepubliceerd - 28 jun 2013
Evenement5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, Verenigde Staten van Amerika
Duur: 26 jun 201328 jun 2013

Publicatie series

NaamWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volume2013-June
ISSN van geprinte versie2158-6276

Congres

Congres5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
Land/RegioVerenigde Staten van Amerika
StadGainesville
Periode26/06/1328/06/13

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