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
fDate :
3/1/1991 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on