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Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware

Bradbury, G; Mitchell, K; Weyrich, T; (2013) Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware. In: Computer Analysis of Images and Patterns. Springer Berlin Heidelberg: York, UK. Green open access

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Abstract

We investigate the advantages of a stereo, multi-spectral acquisition system for material classication in ground-level landscape images. Our novel system allows us to acquire high-resolution, multi- spectral stereo pairs using commodity photographic equipment. Given additional spectral information we obtain better classication of vege- tation classes than the standard RGB case. We test the system in two modes: splitting the visible spectrum into six bands; and extending the recorded spectrum to near infra-red. Our six-band design is more prac- tical than standard multi-spectral techniques and foliage classication using acquired images compares favourably to simply using a standard camera.

Type: Proceedings paper
Title: Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware
Event: 15th International Conference, CAIP 2013 York, UK, August 27-29, 2013 Proceedings, Part II
ISBN: 978-3-642-40245-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-40246-3
Publisher version: http://download.springer.com/static/pdf/54/bok%253...
Language: English
Additional information: © Springer-Verlag Berlin Heidelberg 2013. The final publication is available at link.springer.com
Keywords: Material classication, multi-spectral, vegetation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1411382
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