AUTOMATED METHOD FOR SELECTING TRAINING AREAS OF SEA CLUTTER AND DETECTING SHIP TARGETS IN POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY

摘要

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 preselected 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.