Probabilistic unsupervised classification for large-scale analysis of spectral imaging data
Land cover classification of remote sensing data is a fundamental tool to study changes in the environment such as deforestation or wildfires. A current challenge is to quantify land cover changes with real-time, large-scale data from modern hyper- or multispectral sensors. A range of methods are av...
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Format: | Article |
Language: | English |
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Elsevier
2022-03-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243422000010 |