期刊名称：Archiwum Fotogrametrii, Kartografii i Teledetekcji
印刷版ISSN：2083-2214
出版年度：2015
卷号：27
DOI：10.14681/afkit.2015.012
语种：English
出版社：Main Board of Association of Polish Surveyors
摘要：Research presented in this paper is focused on the efficiency assessment of multifractal description as a tool for Image Information Mining. Large datasets of very high spatial resolution satellite images (WorldView-2 and EROS-A) have been analysed. The results have confirmed the superiority of multifractals as global image descriptors in comparison to monofractals. Moreover, their usefulness in image classification by using decision trees classifiers was confirmed,also in comparison with textural features. Filtration process preceding fractal and multifractal features estimations was also proved to improve classification results. Additionally,airborne hyperspectral data have been initially analysed. Fractal dimension shows high potential for the description of hyperspectral data. To summarise all conducted tests indicate the usefulness of multifractal formalism in various aspects of remote sensing. Prepared methodology can be further developed and used for more specific tasks,for example in change detection or in the description of hyperspectal data complexity.
其他摘要：Przedstawione prace badawcze dotyczyły oceny skuteczności stosowania opisu multifraktalnego jako narzędzia do wydobywania informacji z bardzo wysokorozdzielczych zobrazowań satelitarnych,prezentujących głównie obszary Polski. Przeanalizowano duże zestawy
关键词：satellite image;airborne hyperspectral image;fractal dimension;degree of multifractality;classification
其他关键词：obrazy satelitarne;hiperspektralne obrazy lotnicze;wymiar fraktalny; poziom multifraktalności;klasyfikacja
