DocumentCode :
1260862
Title :
Rough surface scattering results based on bandpass autocorrelation forms
Author :
Miller, Lee S. ; Parsons, Chester L.
Author_Institution :
Dept. of Phys. & Astron., Clemson Univ., SC, USA
Volume :
28
Issue :
6
fYear :
1990
fDate :
11/1/1990 12:00:00 AM
Firstpage :
1017
Lastpage :
1021
Abstract :
Surface-height autocorrelation forms such as Gaussian and exponential are often used in studies of near-normal incidence rough-surface scattering. Such models require the existence of a constant, a DC, value in the spectrum. The consequences of autocorrelation forms that correspond to spectral processes that are essentially bandpass in nature are examined. One such process is that of ocean wind waves. In this case, the spectral components do not extend down to zero frequency. The physical optics backscatter theory is reexamined relative to such autocorrelation functions. Experimental results obtained from a wavetank are compared to the autocorrelation model used in the analysis. The analysis indicates that Gaussian correlation length or mean-square slope is not an appropriate parameter for narrowband conditions and that significant slope is a more relevant parameter. Inherent in the deep-phase assumption is some form of slope dependency. The analysis given (and variants thereof) can be used to provide insight into the physical effects of separate spectral components and of spectral directionality
Keywords :
backscatter; electromagnetic wave scattering; ocean waves; radar theory; radiowave propagation; remote sensing by radar; Gaussian correlation length; bandpass autocorrelation forms; exponential forms; mean-square slope; microwaves; near-normal incidence rough-surface scattering; ocean wind waves; physical optics backscatter theory; radar remote sensing; significant slope; spectral components; spectral directionality; spectral processes; surface height autocorrelation; wavetank; Autocorrelation; Filtering theory; Frequency; Oceans; Optical scattering; Optical surface waves; Physical optics; Rough surfaces; Sea surface; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.62626
Filename :
62626
Link To Document :
بازگشت