Classification of forestry species using singular value decomposition
|Title:||Classification of forestry species using singular value decomposition||Authors:||Danaher, Sean
Herries, Graham M.
Mac Siúrtáin, Máirtín Pádraig
|Permanent link:||http://hdl.handle.net/10197/4033||Date:||Sep-1994||Abstract:||A method is defined and tested for the classification of forest species from multi-spectral data, based on singular value decomposition (SVD) and key vector analysis. The SVD technique, which bears a close resemblance to multivariate statistic techniques has previously been successfully applied to the problem of signal extraction from marine data. In this study the SVD technique is used as a classifier for forest regions, using SPOT and landsat thematic mapper data. The specific region chosen is in the County Wicklow area of Ireland. This area has a large number of species, within a very small region and hence is not amenable to existing techniques. Preliminary results indicate that SVD is a fast and efficient classifier with the ability to differentiate between species such as Scots pine, Japanese larch and Sitka spruce. Classification accuracy's using this technique yielded excellent results of > 99% for forest, against four background classes. The accuracy's of the individual species classification are slightly lower, but they are still high at 97 - 100% for the SPOT wavebands. When the Landsat TM bands 3, 4, and 5 were used on their own, accuracies of 95 - 100% were achieved.||Type of material:||Journal Article||Publisher:||The International Society for Optical Engineering||Copyright (published version):||1995 SPIE--The International Society for Optical Engineering||Keywords:||Demodulation; Forestry||DOI:||10.1117/12.200768||Language:||en||Status of Item:||Not peer reviewed||Is part of:||Eric Mougin; K. Jon Ranson; James A. Smith (eds.). Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources (SPIE proceedings, vol. 2314)||Conference Details:||Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, Rome, Italy, September 26, 1994|
|Appears in Collections:||Agriculture and Food Science Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.