Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.977951
