Probabilistic unsupervised classification for large-scale analysis of spectral imaging data

International Journal of Applied Earth Observation and Geoinformation（2022）

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摘要

•Unsupervised land cover classification using spectral imaging data is studied.•Probabilistic k-means outperforms standard k-means with real and simulated data.•Probabilistic k-means can be run with millions of pixels in a few minutes.•Several applications are presented with hyper- and multispectral imaging data.•Computer code is available on GitHub.

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关键词

Unsupervised classification,k-means,Land cover,Multivariate normal density,Spectral imaging data

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