PSSA: PCA-Domain Superpixelwise Singular Spectral Analysis for Unsupervised Hyperspectral Image Classification

doi:10.3390/rs15040890

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	PSSA: PCA-Domain Superpixelwise Singular Spectral Analysis for Unsupervised Hyperspectral Image Classification
	Q. Y. Liu; D. L. Xue; Y. H. Tang; Y. X. Zhao; J. C. Ren and H. J. Sun
刊名	Remote Sensing
	2023
卷号	15 期号:4 页码:18
DOI	10.3390/rs15040890
英文摘要	Although supervised classification of hyperspectral images (HSI) has achieved success in remote sensing, its applications in real scenarios are often constrained, mainly due to the insufficiently available or lack of labelled data. As a result, unsupervised HSI classification based on data clustering is highly desired, yet it generally suffers from high computational cost and low classification accuracy, especially in large datasets. To tackle these challenges, a novel unsupervised spatial-spectral HSI classification method is proposed. By combining the entropy rate superpixel segmentation (ERS), superpixel-based principal component analysis (PCA), and PCA-domain 2D singular spectral analysis (SSA), both the efficacy and efficiency of feature extraction are improved, followed by the anchor-based graph clustering (AGC) for effective classification. Experiments on three publicly available and five self-collected aerial HSI datasets have fully demonstrated the efficacy of the proposed PCA-domain superpixelwise SSA (PSSA) method, with a gain of 15-20% in terms of the overall accuracy, in comparison to a few state-of-the-art methods. In addition, as an extra outcome, the HSI dataset we acquired is provided freely online.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67707]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Q. Y. Liu,D. L. Xue,Y. H. Tang,et al. PSSA: PCA-Domain Superpixelwise Singular Spectral Analysis for Unsupervised Hyperspectral Image Classification[J]. Remote Sensing,2023,15(4):18.
APA	Q. Y. Liu,D. L. Xue,Y. H. Tang,Y. X. Zhao,&J. C. Ren and H. J. Sun.(2023).PSSA: PCA-Domain Superpixelwise Singular Spectral Analysis for Unsupervised Hyperspectral Image Classification.Remote Sensing,15(4),18.
MLA	Q. Y. Liu,et al."PSSA: PCA-Domain Superpixelwise Singular Spectral Analysis for Unsupervised Hyperspectral Image Classification".Remote Sensing 15.4(2023):18.