Skip to main content
Article thumbnail
Location of Repository

A Multi-Pass Median Filter Technique to Remove Ambiguities in Retrieved Wind Fields From Spaceborne Scatterometer Data

By Kyung Pak Young-Joon, Young-joon Kim, Philip S. Callahan, R. Scott Dunbar, S. Vincent Hsiao and Anzhen Zhang


An automated median filter-based ambiguity removal algorithm is used because of its simplicity and computational efficiency. The algorithm requires an initial wind field. Consequently the performance of the algorithm depends largely on the accuracy of the initial wind field compared to the true wind field. Usually, an initial wind field consisting of the highest ranked retrieved wind vectors is used. However, we found that this does not result in the best performance. In this paper we present a technique called the multi-pass median filter algorithm. The technique gives superior performance to the conventional median filter algorithm by generating a better initial wind field. INTRODUCTION Spaceborne scatterometers such as SeaWinds [1,2] measure backscattering coefficients s from the ocean surface at multiple incident angles and polarizations. The scatterometer data is grouped in a wind vector cell then used to retrieve ocean surface vector winds using a geophysical model function and..

Year: 1998
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.