Title :
Directional analysis of SAR images aiming at wind direction
Author_Institution :
Dept. of Data Anal. & Data Assimilation, GKSS Res. Center, Geesthacht, Germany
fDate :
4/1/2004 12:00:00 AM
Abstract :
Currently, the retrieval of wind fields from synthetic aperture radar (SAR) images suffers from inadequate knowledge of the wind direction. State-of-the-art spectral analysis works fine on open seas, but is limited in spatial resolution. The method described here is based on the local gradients computed with standard image processing algorithms. It handles image features not caused by wind and can be applied to irregularly shaped regions. The new method has already been applied to many images from the European Remote sensing Satellite SARs and RADARSAT-1 ScanSAR, usually supplying reasonable wind fields. The spatial sampling most frequently used was 20 × 20 and 10×10 km2. In some cases, samplings down to 1×1 km2 were tested. This paper describes the local gradients method including the filtering of nonwind generated image features and gives some application examples.
Keywords :
atmospheric techniques; feature extraction; geophysical signal processing; image sampling; remote sensing by radar; spaceborne radar; spectral analysis; synthetic aperture radar; wind; European Remote sensing Satellite; RADARSAT-1 ScanSAR; SAR images; directional analysis; image filtering; image processing algorithms; irregularly shaped regions; local gradients method; nonwind generated image feature filtering; numerical recipe; ocean winds; open seas; spatial resolution; spatial sampling; spectral analysis; synthetic aperture radar; wind direction; wind field retrieval; wind streaks; Image analysis; Image processing; Image retrieval; Image sampling; Remote sensing; Satellites; Spatial resolution; Spectral analysis; Synthetic aperture radar; Testing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2003.818811