A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method

In this paper, we proposed a two-level feature vector fusion technique to improve the performance of target classification. The proposed method combines feature vectors of the early-time region and late-time region in the first-level fusion. In the second-level fusion, we combine the monostatic and...

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Bibliographic Details
Main Authors: In-Ha Kim, In-Sik Choi, Dae-Young Chae
Format: Article
Language:English
Published: The Korean Institute of Electromagnetic Engineering and Science 2018-07-01
Series:Journal of the Korean Institute of Electromagnetic Engineering and Science
Subjects:
Online Access:http://jees.kr/upload/pdf/jees-2018-18-3-206.pdf