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.
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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 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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