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Fractal image analysis - Application to the topography of Oregon and synthetic images.Digitized topography for the state of Oregon has been used to obtain maps of fractal dimension and roughness amplitude. The roughness amplitude correlates well with variations in relief and is a promising parameter for the quantitative classification of landforms. The spatial variations in fractal dimension are low and show no clear correlation with different tectonic settings. For Oregon the mean fractal dimension from a two-dimensional spectral analysis is D = 2.586, and for a one-dimensional spectral analysis the mean fractal dimension is D = 1.487, which is close to the Brown noise value D = 1.5. Synthetic two-dimensional images have also been generated for a range of D values. For D = 2.6, the synthetic image has a mean one-dimensional spectral fractal dimension D = 1.58, which is consistent with the results for Oregon. This approach can be easily applied to any digitzed image that obeys fractal statistics.
Document ID
19900049477
Document Type
Reprint (Version printed in journal)
Authors
Huang, Jie
(Cornell Univ. Ithaca, NY, United States)
Turcotte, Donald L.
(Cornell University Ithaca, NY, United States)
Date Acquired
August 14, 2013
Publication Date
June 1, 1990
Publication Information
Publication: Optical Society of America, Journal, A: Optics and Image Science
Volume: 7
ISSN: 0740-3232
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NAG5-319
Distribution Limits
Public
Copyright
Other
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