DocumentCode
819456
Title
The consequences of sampling variability on the estimation of wave number and propagation direction from spaceborne SAR image spectra
Author
Monaldo, Frank M.
Author_Institution
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Volume
29
Issue
1
fYear
1991
fDate
1/1/1991 12:00:00 AM
Firstpage
113
Lastpage
119
Abstract
Even if it were true that SAR (synthetic aperture radar) ocean surface imagery provides a perfect noiseless representation of ocean surface wave height, each spectrum computed from such imagery would be but a single realization of the ensemble-mean ocean spectrum. There would be sampling variability associated with the parameters of dominant wave number and propagation direction extracted from such a spectrum. The present study addresses two questions: (i) what statistical distribution is applicable to the spectra of SAR ocean images? and (ii) what are the consequences of such statistics on the precision with which wave number and propagation direction can be extracted? An examination is made of spectra computed from ocean imagery acquired during the SIR-B (Shuttle Imaging Radar-B) mission
Keywords
ocean waves; remote sensing by radar; SIR-B; Shuttle Imaging Radar-B; dominant wave number; ensemble-mean ocean spectrum; ocean surface; propagation direction; remote sensing; sampling variability; spaceborne SAR image spectra; statistical distribution; wave height; Image sampling; Ocean waves; Random variables; Sampling methods; Satellites; Sea surface; Spaceborne radar; Statistical distributions; Surface waves; Synthetic aperture radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.103300
Filename
103300
Link To Document