利用尺度不变量特征的ISAR二维像自动识别技术

Abstract

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

CLC Number:

TN911.7

CUI Yan-peng;HU Jian-wei;YANG Shao-quan;ZHU Yan. Automatic target recognition of ISAR images based on SIFT features[J].J4, 2009, 36(4): 725-729.

References

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Automatic target recognition of ISAR images based on SIFT features

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