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Multi-Scale Fractal Analysis of Image Texture and PatternAnalyses of the fractal dimension of Normalized Difference Vegetation Index (NDVI) images of homogeneous land covers near Huntsville, Alabama revealed that the fractal dimension of an image of an agricultural land cover indicates greater complexity as pixel size increases, a forested land cover gradually grows smoother, and an urban image remains roughly self-similar over the range of pixel sizes analyzed (10 to 80 meters). A similar analysis of Landsat Thematic Mapper images of the East Humboldt Range in Nevada taken four months apart show a more complex relation between pixel size and fractal dimension. The major visible difference between the spring and late summer NDVI images of the absence of high elevation snow cover in the summer image. This change significantly alters the relation between fractal dimension and pixel size. The slope of the fractal dimensional-resolution relation provides indications of how image classification or feature identification will be affected by changes in sensor spatial resolution.
Document ID
19990039170
Acquisition Source
Marshall Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Emerson, Charles W.
(Southwest Missouri State Univ. Springfield, MO United States)
Lam, Nina Siu-Ngan
(Louisiana State Univ. Baton Rouge, LA United States)
Quattrochi, Dale A.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1999
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Publisher: American Society for Photogrammetry and Remote Sensing
Volume: 65
Issue: 1
ISSN: 0099-1112
Subject Category
Computer Programming And Software
Funding Number(s)
CONTRACT_GRANT: NAGw-4221
Distribution Limits
Public
Copyright
Other

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