INTENSITY-LEVEL-SELECTION-BASED WIND RETRIEVAL FROM SHIPBORNE NAUTICAL X-BAND RADAR DATA

被引：1

作者：

Liu, Ying ^{[1
]}

Huang, Weimin ^{[1
]}

Gill, Eric W. ^{[1
]}

机构：

[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Wind retrieval; nautical radar images;

D O I：

10.1109/IGARSS.2014.6947462

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a modified intensity-level-selection-based algorithm for sea surface wind retrieval from shipborne X-band nautical radar images is presented. A data quality control process is introduced to improve the accuracy of wind measurements, including the recognition of blockages and islands in the temporally integrated radar images. Moreover, a harmonic function is used to least-squares fit the selected range vector to antenna look directions to improve the wind direction determination. The wind information obtained from the radar data is compared with shipborne anemometer results. The modified algorithm reduces the mean differences between the radar and the anemometer results for wind direction and speed by about 7.4 degrees and 1.2 m/s, respectively.

引用

页数：4

共 5 条

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