In this study we introduced a novel unsupervised selection method for collecting training samples for tree species classification at individual tree crown (ITC) level using hyperspectral data. The selection process is based on a search strategy and a distance metric defined among the percentiles derived from the spectral distributions of the pixels inside the ITCs. The method was developed using two kinds of samples: i) plots, and ii) ITCs. The experimental results indicated that the method allows reducing the amount of training samples needed for the classification process, without significantly decreasing the classification accuracy

Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E. (2013). Unsupervised selection of training plots and trees for tree species classification. In: IGARSS 2013: IEEE International Geoscience and Remote Sensing Symposium 2013, Melbourne, Australia, 21-26 July 2013. handle: http://hdl.handle.net/10449/22480

Unsupervised selection of training plots and trees for tree species classification

Dalponte, Michele;
2013-01-01

Abstract

In this study we introduced a novel unsupervised selection method for collecting training samples for tree species classification at individual tree crown (ITC) level using hyperspectral data. The selection process is based on a search strategy and a distance metric defined among the percentiles derived from the spectral distributions of the pixels inside the ITCs. The method was developed using two kinds of samples: i) plots, and ii) ITCs. The experimental results indicated that the method allows reducing the amount of training samples needed for the classification process, without significantly decreasing the classification accuracy
Hyperspectral data
Tree species classification
Field data collection
SVM
2013
Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E. (2013). Unsupervised selection of training plots and trees for tree species classification. In: IGARSS 2013: IEEE International Geoscience and Remote Sensing Symposium 2013, Melbourne, Australia, 21-26 July 2013. handle: http://hdl.handle.net/10449/22480
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