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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Bibliographic Details
Main Author: Emmanuel Paradis
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243422000010