APPARATUS FOR CLASSIFYING TARGET OF INVERSE SYNTHETIC APERTURE RADAR IMAGE USING TRACE TRANSFORM AND METHOD THEREOF

摘要

The present invention relates to an apparatus and method for a target classification apparatus for an inverse synthetic aperture surface radar image using a trace transformation, and a method for classifying an inverse synthetic aperture surface radar image by receiving an inverse synthetic aperture surface radar image for a target, Preprocessing the inverse synthesized aperture radar image by removing a noise response, a clutter response, and a signal level change due to a different distance between the radar and the target from the inverse synthesized aperture radar image, Extracting a classification feature function along a main axis of the target from the preprocessed inverted synthetic aperture radar image using a trace transform, extracting a candidate feature database from a pre-stored training database using the classification feature function, Selecting a classification feature value included in the candidate database, And classifying the type of the target using the extracted classification feature. According to the present invention, according to the embodiment of the present invention, it is possible to reduce the amount of the database using the trace transformation and reduce the amount of computation in the feature extraction process for classification in the inverse synthetic aperture radar image, The time consumed and the amount of computation can be reduced. In addition, it is possible to acquire abundant identification information without being influenced by the translation, rotation, reflection, etc. of the inverse synthesized opening surface radar image, so that the classification accuracy of the target can be greatly improved.