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Urban features classification using 3D hyperspectral data

  • Norwegian Defence Research Establishment

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

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.

OriginalspracheEnglisch
Titel2013 5th Workshop on Hyperspectral Image and Signal Processing
UntertitelEvolution in Remote Sensing, WHISPERS 2013
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781509011193
DOIs
PublikationsstatusVeröffentlicht - 28 Juni 2013
Veranstaltung5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, USA/Vereinigte Staaten
Dauer: 26 Juni 201328 Juni 2013

Publikationsreihe

NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Band2013-June
ISSN (Print)2158-6276

Konferenz

Konferenz5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
Land/GebietUSA/Vereinigte Staaten
OrtGainesville
Zeitraum26/06/1328/06/13

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