Title :
Intensity-level-selection-based wind retrieval from shipborne nautical X-band radar data
Author :
Ying Liu ; Weimin Huang ; Gill, Eric W.
Author_Institution :
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
Abstract :
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° and 1.2 m/s, respectively.
Keywords :
anemometers; least squares approximations; marine radar; radar antennas; radar imaging; ships; vectors; antenna look direction; blockage recognition; data quality control process; harmonic function; least-square method; mean difference reduction; modified intensity-level-selection-based algorithm; sea surface wind retrieval; shipborne X-band nautical radar imaging; shipborne anemometer result; temporally integrated radar imaging; vector; velocity 1.2 m/s; wind direction determination; wind measurement; Fluid flow measurement; Image recognition; Marine vehicles; Radar imaging; Vectors; Wind speed; Wind retrieval; nautical radar images;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947462
