NDLI: Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images

Content Provider	IET Digital Library
Author	Chen, Weizhao Yang, Zhijing Cao, Faxian Yan, Yijun Wang, Meilin Qing, Chunmei Cheng, Yongqiang
Abstract	Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely used dimensionality reduction techniques. By integrating the advantages of the band selection and feature extraction, the authors propose a new method for reducing the dimension of hyperspectral image data. First, a new and fast band selection algorithm is proposed for hyperspectral images based on an improved determinantal point process (DPP). To reduce the amount of calculation, the dual-DPP is used for fast sampling representative pixels, followed by k-nearest neighbour-based local processing to explore more spatial information. These representative pixel points are used to construct multiple adjacency matrices to describe the correlation between bands based on mutual information. To further improve the classification accuracy, two-dimensional singular spectrum analysis is used for feature extraction from the selected bands. Experiments show that the proposed method can select a low-redundancy and representative band subset, where both data dimension and computation time can be reduced. Furthermore, it also shows that the proposed dimensionality reduction algorithm outperforms a number of state-of-the-art methods in terms of classification accuracy.
Starting Page	299
Ending Page	306
Page Count	8
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 2, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5419
Journal	IET Image Processing
Publisher Date	2018-09-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Classification Accuracy Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Data Redundancy Determinantal Point Process Dimensionality Reduction Algorithm Dual-DPP Fast Band Selection Algorithm Fast Sampling Representative Pixel Feature Extraction Geography And Cartography Computing Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing Hyperspectral Data Processing Hyperspectral Image Hyperspectral Image Data Image Classification Image Recognition Image Representation Image Sampling Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research K-nearest Neighbour Knowledge Engineering Technique Learning in AI Representative Band Subset Representative Pixel Point Spectral Analysis Two-dimensional Singular Spectrum Analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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