DocumentCode :
1456588
Title :
Identifiability in wind estimation from scatterometer measurements
Author :
Long, David G. ; Mendel, Jerry M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume :
29
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
268
Lastpage :
276
Abstract :
The problem of identifiability of a wind vector that is estimated from wind scatterometer measurements of the radar backscatter of the ocean´s surface is addressed. The traditional wind estimation approach produces multiple estimates of the wind direction. A second processing step, known as dealiasing or ambiguity removal, is used to select a single wind estimate from these multiple solutions. Dealiasing is typically based on various ad hoc considerations. The traditional wind estimation approach results in multiple solutions associated with local minima in an objective function formed from the noisy backscatter measurements. The authors discuss the question of the uniqueness of the wind vector estimates resulting from this intuitive approach
Keywords :
atmospheric techniques; remote sensing by radar; wind; ambiguity removal; atmosphere; backscatter; dealiasing; identifiability; marine wind; measurement technique; ocean surface; radar remote sensing; scatterometer; uniqueness; wind estimation; wind vector; Backscatter; Geophysical measurements; Radar measurements; Radar remote sensing; Radar scattering; Sea measurements; Sea surface; Vectors; Velocity measurement; Yield estimation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.73668
Filename :
73668
Link To Document :
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