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AUTOMATED METHOD FOR SELECTING TRAINING AREAS OF SEA CLUTTER AND DETECTING SHIP TARGETS IN POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
AUTOMATED METHOD FOR SELECTING TRAINING AREAS OF SEA CLUTTER AND DETECTING SHIP TARGETS IN POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
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机译：极化合成孔径雷达成像中海杂波训练区域选择和舰船目标自动检测方法
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摘要
Method for selecting a sea clutter training area in polarimet ric synthetic aperture radar input data. A sea clutter refer ence distribution for a pixel magnitude value is provided. Based on the input data, one or more parameters of the refer ence 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 refer ence 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 preselect ing and computing a goodness of fit are repeated.
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