Schulz-Stellenfleth, Johannes and Nieto-Borge, Jose Carlos (2005) A parametric scheme for the retrieval of 2-D ocean wave spectra from synthetic aperture radar look cross spectra. In: Book of Abstracts and Proceedings, CD-ROM (paper 22), pp. 1-7. WAVE 2005, 2005-07-03 - 2005-07-07, Madrid (Spain).
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A parametric algorithm is presented to estimate two-dimensional ocean wave spectra from ENVISAT ASAR wave mode data on a global scale. The retrieval scheme makes use of prior information taken from numerical wave models. The Partition Rescale and Shift algorithm (PARSA) is based on a partitioning technique, which splits an a priori wave spectrum into its wave system components. Integral parameters of these systems, such as mean direction, mean wavelength, waveheight, and directional spreading are then adjusted iteratively to improve the consistency with the SAR observation. The method takes into account the full nonlinear SAR imaging process and uses a maximum a posteriori approach, which is based on statistical model quantifying the errors of the SAR imaging model, the SAR measurement, and the prior wave spectra. The method is applied to a global data set of ENVISAT ASAR data acquired during the CAL/VAL phase. The benefit of cross spectra compared to conventional symmetric image spectra is demonstrated.
|Document Type:||Conference or Workshop Item (Speech)|
|Title:||A parametric scheme for the retrieval of 2-D ocean wave spectra from synthetic aperture radar look cross spectra|
|Journal or Publication Title:||Book of Abstracts and Proceedings|
|In ISI Web of Science:||No|
|Page Range:||pp. 1-7|
|Event Title:||WAVE 2005|
|Event Location:||Madrid (Spain)|
|Event Type:||international Conference|
|Event Dates:||2005-07-03 - 2005-07-07|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)|
|Institutes and Institutions:||Remote Sensing Technology Institute > Marine Remote Sensing|
|Deposited By:||Bärbel Bolowski|
|Deposited On:||10 Feb 2006|
|Last Modified:||14 Jan 2010 20:17|
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