Title :
Autocorrelation and regularization in digital images. II. Simple image models
Author :
Jupp, David L B ; Strahler, Alan H. ; Woodcock, Curtis E.
Author_Institution :
Commonwealth Sci. & Ind. Organ., Canberra, ACT, Australia
fDate :
5/1/1989 12:00:00 AM
Abstract :
For pt.I see ibid., vol.26, no.4, p.463-73, July 1988. The variogram function used in geostatistical analysis is a useful statistic in the analysis of remotely sensed images. Using the results derived in Part I, the basic second-order, or covariance, properties of scenes modeled by simple disks of varying size and spacing after imaging into disk-shaped pixels are analyzed to explore the relationship between the image variograms and discrete object scene structure. The models provide insight into the nature of real images of the Earth´s surface and the tools for a complete analysis of the more complex case of three-dimensional illuminated discrete-object images.<>
Keywords :
correlation methods; geophysical techniques; picture processing; remote sensing; Earth surface images analysis; covariance properties; digital images autocorrelation; discrete object scene structure; disk sizes; disk spacing; disk-shaped pixels; geostatistical analysis; image regularisation; image variograms; overlapping disks image models; regularised disk model; remote sensing; remotely sensed images; second-order scene properties; three-dimensional illuminated discrete-object images; variogram function; Autocorrelation; Brightness; Digital images; Image analysis; Image processing; Layout; Pixel; Remote sensing; Statistical analysis; Statistics;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
