A SpatialSpectral Combination Method for Hyperspectral Band Selection

doi:10.3390/rs14133217

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	A SpatialSpectral Combination Method for Hyperspectral Band Selection
	X. Han; Z. Jiang; Y. Liu; J. Zhao; Q. Sun and Y. Li
刊名	Remote Sensing
	2022
卷号	14 页码:13
ISSN号	20724292
DOI	10.3390/rs14133217
英文摘要	Hyperspectral images are characterized by hundreds of spectral bands and rich information. However, there exists a large amount of information redundancy among adjacent bands. In this study, a spatialspectral combination method for hyperspectral band selection (SSCBS) is proposed to reduce information redundancy. First, the hyperspectral image is automatically divided into subspaces. Seven algorithms classified as four types are executed and compared. The means algorithm is the most suitable for subspace division of the input hyperspectral image, with the calculation being the fastest. Then, for each subspace, the spatialspectral combination method is adopted to select the best band. The band with the maximum information and more prominent characteristics between the adjacent bands is selected. The parameters of Euclidean distance and spectral angle parameters are used to measure the intraclass correlation and interclass spectral specificity, respectively. Weight coefficient quantifying the intrinsic spatialspectral relationship of pixels are constructed, and then the optimal bands are selected by a combination of the weight coefficients and the information entropy. Moreover, an automatic method is proposed in this paper to provide an appropriate number of band sets, which is out of consideration for existing research. The experimental results show, as compared to other competing methods, that the SSCBS approach has the highest classification accuracy on the three benchmark datasets and takes less computation time. These demonstrate that the proposed SSCBS achieves satisfactory performance against state-oftheart algorithms. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67099]
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	X. Han,Z. Jiang,Y. Liu,et al. A SpatialSpectral Combination Method for Hyperspectral Band Selection[J]. Remote Sensing,2022,14:13.
APA	X. Han,Z. Jiang,Y. Liu,J. Zhao,&Q. Sun and Y. Li.(2022).A SpatialSpectral Combination Method for Hyperspectral Band Selection.Remote Sensing,14,13.
MLA	X. Han,et al."A SpatialSpectral Combination Method for Hyperspectral Band Selection".Remote Sensing 14(2022):13.