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- Title
Multi-scale fractal analysis of image texture and patterns
- Authors
Quattrochi, Dale A.; Emerson, Charles W.; Siu-Ngan Lam, Nina
- Abstract
Analyses 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, aforested 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 is the absence of high elevation snow cover in the summer image. Thischange significantly alters the relation between fractal dimension and pixel size. The slope of the fractal dimension-resolution relationprovides indications of how image classification or feature identification will be affected by changes in sensor spatial resolution.
- Subjects
IMAGE processing
- Publication
Photogrammetric Engineering & Remote Sensing, 1999, Vol 65, Issue 1, p51
- ISSN
0099-1112
- Publication type
Article