In our work, we analyze multifractal parameters for the description and classification of a 2056 subsets of aerial images representing 21 land-use classes. In particular, we consider the degree of multifractality, estimated with different capacity measures, as global features characterizing the texture on considered image tiles. Results show that the degree of multifractality designated for particular tiles differs slightly between spectral bands, and reveal some dependence on land-use classes. Moreover, we show that based on multifractal parameters used together with histogram features it is possible to classify the used UC-Merced dataset with a satisfactory level of accuracy. The conducted analysis shows that multifractal features provide additional input for global characterization and automatic classification of aerial images.
Wawrzaszek A., Drzewiecki W., Krupiński M., Jenerowicz M., Aleksandrowicz S. (2021), Multifractal Features for Land Use Classification