Invention Grant
- Patent Title: Automated method for selecting training areas of sea clutter and detecting ship targets in polarimetric synthetic aperture radar imagery
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Application No.: US15535997Application Date: 2015-10-08
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Publication No.: US10088555B2Publication Date: 2018-10-02
- Inventor: Timo Rolf Bretschneider , Ken Yoong Lee
- Applicant: Airbus Singapore Private Limited
- Applicant Address: SG Singapore
- Assignee: AIRBUS SINGAPORE PRIVATE LIMITED
- Current Assignee: AIRBUS SINGAPORE PRIVATE LIMITED
- Current Assignee Address: SG Singapore
- Agency: Jenkins, Wilson, Taylor & Hunt, P.A.
- Priority: WOPCT/IB2014/066906 20141215
- International Application: PCT/IB2015/057691 WO 20151008
- International Announcement: WO2016/097890 WO 20160623
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S13/90 ; G01S13/00

Abstract:
Method for selecting a sea clutter training area in polarimetric synthetic aperture radar input data. A sea clutter reference distribution for a pixel magnitude value is provided. Based on the input data, one or more parameters of the reference distribution and a global covariance matrix are computed. The pixels are grouped into blocks. A block that minimizes a cost function is pre-selected, the cost function being derived from empirical moments of the block and moments of the reference distribution. A goodness-of-fit is computed for the pre-selected block with respect to the reference distribution. If the goodness-of-fit is sufficient, the block is selected as sea clutter training area. Otherwise, the steps of preselecting and computing a goodness of fit are repeated.
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