A Feature Fusion Technique for Dimensionality Reduction

被引：0

作者：

E. Myasnikov

机构：

[1] Samara National Research University,

来源：

Pattern Recognition and Image Analysis | 2022年 / 32卷

关键词：

feature fusion; dimensionality reduction; nonlinear mapping; hyperspectral images;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：607 / 610

页数：3

共 11 条

[1]

Haralick R. M.(1973)Textural features for image classification IEEE Trans. Syst., Man, Cybern. SMC-3 610-621

[2]

Shanmugan K.(2019)Nonlinear dimensionality reduction of hyperspectral data based on spectral information divergence preserving principle J. Phys.: Conf. Ser. 1368 032030-204

[3]

Dinstein I.(2005)Feature level fusion using hand and face biometrics Proc. SPIE 5779 196-97

[4]

Myasnikov E.(2006)Composite kernels for hyperspectral image classification IEEE Geosci. Remote Sens. Lett. 3 93-undefined

[5]

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