Multiscale kernel sparse coding-based classifier for HRRP radar target recognition

With the combined multiscale Gaussian kernel and Morlet wavelet kernel, two multiscale kernel sparse coding-based classifiers (MKSCCs) are proposed for radar target recognition using high-resolution range profiles (HRRPs). The kernel trick can make samples more clustered in higher-dimensional space....

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Vydané v:	IET radar, sonar & navigation Ročník 10; číslo 9; s. 1594 - 1602
Hlavní autori:	Xiong, Wei, Zhang, Gong, Liu, Su, Yin, Jiejun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 01.12.2016
Predmet:	Classifiers combined multiscale Gaussian kernel Gaussian processes higher‐dimensional space clustering high‐resolution range profile HRRP HRRP radar target recognition image classification image coding Kernels MKSCC Morlet wavelet Morlet wavelet kernel multiscale kernel sparse coding‐based classification Navigation object recognition radar imaging radar resolution Radar targets Recognition Research Article Robustness Sonar wavelet transforms object recognition wavelet transforms image classification multiscale kernel sparse coding-based classification HRRP high-resolution range profile combined multiscale Gaussian kernel HRRP radar target recognition Morlet wavelet kernel radar resolution MKSCC Gaussian processes higher-dimensional space clustering radar imaging image coding
ISSN:	1751-8784, 1751-8792
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