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