Shadowing by non-Gaussian rough surfaces for which decorrelation implies statistical independence
Article first published online: 7 DEC 2012
Copyright 1983 by the American Geophysical Union.
Volume 18, Issue 4, pages 566–572, July-August 1983
How to Cite
1983), Shadowing by non-Gaussian rough surfaces for which decorrelation implies statistical independence, Radio Sci., 18(4), 566–572, doi:10.1029/RS018i004p00566., and (
- Issue published online: 7 DEC 2012
- Article first published online: 7 DEC 2012
- Manuscript Accepted: 27 JAN 1983
- Manuscript Received: 29 NOV 1982
Expressions for the shadow functions are derived for a broad class of non-Gaussian rough surfaces for which decorrelation of the surface heights implies statistical independence. The numerical results obtained for the backscatter shadow functions are compared with the shadow function for Gaussian surfaces and with recently published results for surfaces with an exponential joint height probability density that does not become statistically independent as the surface heights decorrelate. Contrary to earlier published results, it is shown that even for surfaces with large mean square slopes, the shadow function is not very sensitive to the precise form of the surface height density function assumed. This, however, does not mean that the rough surface scattering cross sections are insensitive to the assumed non-Gaussian surface height probability density.