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Using Suitable Neighbors to Augment the Training Set in Hyperspectral Maximum Likelihood Classification

Richards, John; Jia, Xiuping


A method is presented for supplementing the training set in maximum likelihood classification of hyperspectral data to mitigate the Hughes phenomenon. Based on the idea that the near neighbors of training pixels are likely to come from the same class, measures are proposed to assess neighbors as potential candidates so that those selected give improved class statistics and classification accuracy.

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
Source: IEEE Geoscience and Remote Sensing Letters
DOI: 10.1109/LGRS.2008.2005512


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