Fractal characterization of hyperspectral imagery

Citation
Hl. Qiu et al., Fractal characterization of hyperspectral imagery, PHOTOGR E R, 65(1), 1999, pp. 63-71
Citations number
17
Categorie Soggetti
Optics & Acoustics
Journal title
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
ISSN journal
00991112 → ACNP
Volume
65
Issue
1
Year of publication
1999
Pages
63 - 71
Database
ISI
SICI code
Abstract
Two AVIRIS hyperspectral images selected from the Los Angeles area, one rep resenting urban and the other rural, were used to examine their spatial com plexity across their entire spectrum of the remote sensing data. Using the ICAMS (Image Characterization And Modeling System) software, we computed th e fractal dimension values using the isarithm and triangular prism methods for all 224 bands in the two AVIRIS scenes. The resultant fractal dimension s reflect changes in image complexity across the spectral range of the hype rspectral images. Both the isarithm and triangular prism methods detect unu sually high D values on the spectral bands that fall within the atmospheric absorption and scattering zones where signal-to-noise ratios are low. Frac tal dimensions for the urban area resulted in higher values than for the ru ral landscape, and the differences between the resulting D values are more distinct in the visible bands. The triangular prism method is sensitive to a few random speckles in the images, leading to a lower dimensionality. On the contrary the isarithm method will ignore the speckles and focus on the major variation dominating the surface, thus resulting in a higher dimensio n. It is seen where the fractal curves plotted for the entire bandwidth ran ge of the hyperspectral images could be used to distinguish landscape types as well as for screening noisy bands.