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Elimination of the impact of vessels on ocean wave height inversion with X-band wave monitoring radar
- Source :
- Chinese Journal of Oceanology and Limnology. 34:1114-1121
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Directional wave spectra and integrated wave parameters can be derived from X-band radar sea surface images. A vessel on the sea surface has a significant influence on wave parameter inversions that can be seen as intensive backscatter speckles in X-band wave monitoring radar sea surface images. A novel algorithm to eliminate the interference of vessels in ocean wave height inversions from X-band wave monitoring radar is proposed. This algorithm is based on the characteristics of the interference. The principal components (PCs) of a sea surface image sequence are extracted using empirical orthogonal function (EOF) analysis. The standard deviation of the PCs is then used to identify vessel interference within the image sequence. To mitigate the interference, a suppression method based on a frequency domain geometric model is applied. The algorithm framework has been applied to OSMAR-X, a wave monitoring system developed by Wuhan University, based on nautical X-band radar. Several sea surface images captured on vessels by OSMAR-X are processed using the method proposed in this paper. Inversion schemes are validated by comparisons with data from in situ wave buoys. The root-mean-square error between the significant wave heights (SWH) retrieved from original interference radar images and those measured by the buoy is reduced by 0.25 m. The determinations of surface gravity wave parameters, in particular SWH, confirm the applicability of the proposed method.
- Subjects :
- 010504 meteorology & atmospheric sciences
Buoy
0211 other engineering and technologies
X band
02 engineering and technology
Oceanography
01 natural sciences
law.invention
Continuous-wave radar
Speckle pattern
law
Frequency domain
Radar imaging
Wave radar
Radar
Geology
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Water Science and Technology
Remote sensing
Subjects
Details
- ISSN :
- 19935005 and 02544059
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Oceanology and Limnology
- Accession number :
- edsair.doi...........d6d639119f55a0be13b68be913099ff0
- Full Text :
- https://doi.org/10.1007/s00343-016-5075-4