关键词: 逆合成孔径雷达图像, 尺度不变特征变换, 顺序尺度, 支持矢量机, 自动目标识别

Abstract:

Under conditions of translation, rotation, projection and shelter of the aircraft targets, undesired inverse synthetic aperture radar(ISAR) images will make target classification more difficult. A new feature extraction method is proposed to identify ISAR images from different flight attitudes of the target aircraft. The approach provides effective features for identification using the order scales extracted by scale invariant feature transform. Experimental results show the presented algorithm is quite effective.

Key words: inverse synthetic aperture radar images, scale invariant feature transform, order scale, support vector machine, automatic target