A New Wind Vector Retrieval Algorithm for C-band Airborne SAR

DOI

10.2991/rsete.2013.54How to use a DOI?

Keywords

Retrieval; airborne synthetic aperture radar; wind vector; PPC

Abstract

A new ocean wind vector retrieval method is proposed that the wind speed and direction are estimated simultaneously using the normalized radar cross sections detected from different angles and geophysical model function according to the sounding characteristics of airborne SAR. The wind direction ambiguity is removed by using the odd symmetry property of polarimetric correlation coefficient with the changes in wind direction. To evaluate the ocean wind field retrieval errors and effects, the C band airborne SAR data are used to obtain the wind speed and direction by the proposed method. Estimated wind vector are compared with wind measurements from buoys. We show that the wind field retrieval method is suited to retrieve high precision wind speed and direction from airborne SAR sounding data without other background sources.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kong Yi
AU  - Liu Wenjun
AU  - Zhao Xianbin
AU  - Chen Xi
AU  - An Hao
AU  - Bai Heng
PY  - 2013/08
DA  - 2013/08
TI  - A New Wind Vector Retrieval Algorithm for C-band Airborne SAR
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 220
EP  - 223
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.54
DO  - 10.2991/rsete.2013.54
ID  - Yi2013/08
ER  -