A Study on the Invariant Recognition of Aircraft

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Journal of the Korea Institute of Military Science and Technology 2000;3(2):88-100.

항공기 불변 인식에 관한 연구

김창욱

공군사관학교 전자공학과

Abstract

The design of an automatic aircraft recognition system involves two parts. The first part is extraction of invariant features independent of scale, rotation and translation. The second part is determination of optimal decision procedures, which are needed in the classification process. In this research, we extracted invariant aircraft features regardless of size, rotation and translation using Fourier Descriptors and Zernike Moments and classified using neural networks.

Key Words: Invariant Recognition, Fourier Descriptor, Zernike Moment

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