Influence of the microscopic fractal dimension on the statistical characterization of natural surfaces

Author

Marano, S. ; Percannella, R. ; Restaino, R. ; Tesauro, M.

Author_Institution

Dipt. di Ingegneria dell´´Informazione ed Ingegneria Elettrica, Universita degli Studi di Salerno, Fisciano, Italy

Volume

5

fYear

2001

fDate

2001

Firstpage

2208

Abstract

A popular model describing the statistics of remote sensed data is based on the decomposition of the area illuminated by the sensor into several facets which act as elementary scatterers. We Investigate whether significant changes in the received electromagnetic field statistics may be induced by a modification of the microscopic details of the surface. Here microscopic means a scale length shorter then the typical dimension of a facet. We show that the overall field statistical characterization is very weakly dependent on the microscopic fractal dimension of the illuminated surface

Keywords

fractals; radar theory; remote sensing by radar; statistical analysis; decomposition; elementary scatterers; facet; illuminated surface; microscopic details; microscopic fractal dimension; natural surfaces; received electromagnetic field; remote sensed data; scale length; statistical characterization; statistics; Backscatter; Data mining; Earth; Electromagnetic scattering; Fractals; Mathematical model; Microscopy; Remote sensing; Solid modeling; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977951

Filename

977951