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Classification of forestry species using singular value decomposition
1995
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
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
doi:10.1117/12.200768
fatcat:jea75peyvvehhl3s75awx5sfoi