Publication Type : Conference Paper
Publisher : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc., Amity School of Engineering and Technology, Noida, India.
Source : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc., Amity School of Engineering and Technology, Noida, India (2018)
ISBN : 9781538630457
Keywords : Classification accuracy, Clustering algorithms, Dimensionality reduction, High dimensional data, image analysis, image classification, Independent component analyses (ICA), Independent component analysis, Linear relationships, Nonlinear components, Nonlinear features, Recent researches, Spectroscopy .
Campus : Coimbatore
School : Computational Engineering and Networking
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN)
Verified : No
Year : 2018
Abstract : Independent Component Analysis (ICA) is a commonly used technique for the dimensionality reduction of Hyperspectral images (HSI) to capture the linear relationship in the original input features of the image. Even though kernel methods were introduced to capture the nonlinear features, they possess high computational complexity, while dealing with a large number of pixels of HSI. Recent research has introduced Random Fourier feature maps (RFF) to project high dimensional data to low dimension. In this paper, we propose a nonlinear component analysis for the dimensionality reduction of HSI based on RFF maps. The proposed method has experimented on two dataset namely Pavia University and Salinas scene. It is verified that the feature extracted using RFF maps outperforms the conventional and kernel methods, in terms of classification accuracy. © 2018 IEEE.
Cite this Research Publication : C. Jayaprakash, Damodaran, B. B., Sowmya, and Dr. Soman K. P., “Dimensionality Reduction of Hyperspectral Images for Classification using Randomized Independent Component Analysis”, in 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Amity School of Engineering and Technology, Noida, India, 2018.