Krupiński M., Wawrzaszek A., Drzewiecki W., Jenerowicz M., Aleksandrowicz S. (2021), Multifractal Parameters for Classification of Hyperspectral Data

(Multi)fractal character of hyperspectral imagery allows for application of new methods and parameters for data processing. In this work we apply Multifractal Detrended Fluctuation Analysis to describe the complex shape of spectral curve and to use determined parameters as the classification features. Working on three publically available datasets, we analyze the usefulness of the six multifractal parameters in the context of land cover / land use classification using machine learning classifier. Moreover we examine different approaches for data preprocessing and their influence on classification results.

Krupiński M., Wawrzaszek A., Drzewiecki W., Jenerowicz M., Aleksandrowicz S. (2021), Multifractal Parameters for Classification of Hyperspectral Data
doi:10.1109/IGARSS39084.2020.9323920