SAR detection and recognition filters

Nea variations of MINACE filters are considered for detection and recognition of objects and rejection of clutter in synthetic aperture radar (SAR) data. Multiple classes of objects with distortions present (aspect view and depression angle) must be handled. Good performance in the presence of object obscurations is also needed. We present initial very attractive results that aid different modules in a SAR automatic target recognition (ATR) processor. For 4 class test set datal we Show detection performance of P-D > 99.8% with P-FA congruent to 0.026/km(2); for classification we show P-C > 96.6% with P-FA congruent to 0.026/km(2). Selected tests with noise and obscurations present and of object in real SXR background are also included. All results used full shift-invariance tests.