Title :
Fractal characteristics of very high resolution satellite imagery
Author :
Zeng Yu ; Zhang Jixian ; Li Haitao
Author_Institution :
Chinese Acad. of Surveying & Mapping, Beijing
Abstract :
Differential box counting (DBC) model, which is more accurate and can cover the full dynamic range of fractal dimension was employed to measure fractal dimension of image intensity surfaces in this research. The fractal characteristics of panchromatic and multi-spectral image bands of Very High Resolution satellite imagery were analyzed and assessed according to the calculated fractal dimension of typical land cover types including residential area, water body, bare land, woodland, shrubbery, cropland, and grassland in the image. Further discussions on the fractal characteristics of VHR satellite imagery were given by the comparison and analysis with high spatial resolution and medium spatial resolution imagery of the same test site and with the similar acquisition date from the view of multi-scale space and multi-spectral space respectively.
Keywords :
data acquisition; image resolution; image texture; terrain mapping; vegetation mapping; VHR satellite imagery; Very High Resolution satellite imagery; bare land; cropland; data acquisition; differential box counting model; fractal characteristics; fractal dimension; grassland; image intensity surfaces; land cover types; multispectral image; panchromatic image; residential area; shrubbery; texture analysis; water body; woodland; Dynamic range; Fractals; Image analysis; Image resolution; Multispectral imaging; Remote sensing; Satellites; Spatial resolution; Testing; Water; DBC; Fractal Dimension; Remote Sensing; Texture Analysis; Very High Resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4422812
