Automated method for selecting training areas of sea clutter and detecting ship targets in polarimetric synthetic aperture radar imagery
US10088555B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 8, 2015 |
| Grant date | Oct 2, 2018 |
| Priority date | — |
| Expiry date | Oct 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S13/9076
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.