A Metrological Spectral Difference Space For The Statistical Modelling Of Hyperspectral Images
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)
摘要
Answering to metrological constraints typically required in the context of industrial and medical applications, a spectral difference space is introduced in this work. In this space, an acquired hyperspectral data is treated as measurements. Then, modelling the spectral difference space as multivariate Normal laws, a Gaussian mixture model is used in a classification task of remote sensing images. An encouraging result is obtained, comparing the proposed space with a data-driven one. Moreover, it offers a starting point in developing a directly interpretable spectral analysis tools.
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关键词
metrology, image classification, hyperspectral imaging, Gaussian mixture model
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