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

Volume

27

Issue

3

fYear

1989

fDate

5/1/1989 12:00:00 AM

Firstpage

247

Lastpage

258

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.17666

Filename

17666