Dataset shift in land-use classification for optical remote sensing
Multimodal dataset shifts consisting of both concept and covariate shifts are addressed in this study to improve texture-based land-use classification accuracy for optical panchromatic and multispectral remote sensing. Multitemporal and multisensor variances between train and test data are caused by...
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| Language: | en |
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2016
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| Online Access: | http://hdl.handle.net/2263/56246 Luus, FPS 2016, Dataset shift in land-use classification for optical remote sensing, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/56246> |