中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Combined Spatial-Spectral Hyperspectral Image Classification Based on Adaptive Guided Filtering

文献类型:期刊论文

作者L. Huang; S. K. Nong; X. F. Wang; X. H. Zhao; C. R. Wen and T. Nie
刊名Traitement Du Signal
出版日期2022
卷号39期号:2页码:745-754
ISSN号0765-0019
DOI10.18280/ts.390240
英文摘要Hyperspectral image classification has a low accuracy in the face of a small training set. To solve the problem, this paper proposes a combined spatial-spectral hyperspectral image classification approach based on adaptive guided filtering. From coarse to fine classification, the local binary pattern (LBP) histogram features were improved, the spatial contrast description was enhanced, and enhanced spatial-spectral features were prepared through Gabor transform of different scales and directions, combined with super pixel blocks. Then, the pre-classification was completed by the support vector machine (SVM) classifier. To reduce noise interference, the pre-classification results were filtered again by a guided filter based on the adaptive regularization factor. To verify its effectiveness, the proposed approach was compared with the state-of-the-arts approaches through repeated experiments. The comparison shows that our approach achieved a high classification accuracy, while suppressing noise interference. This research provides a new tool for hyperspectral image classification with a small training set.
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语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/66473]  
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
L. Huang,S. K. Nong,X. F. Wang,et al. Combined Spatial-Spectral Hyperspectral Image Classification Based on Adaptive Guided Filtering[J]. Traitement Du Signal,2022,39(2):745-754.
APA L. Huang,S. K. Nong,X. F. Wang,X. H. Zhao,&C. R. Wen and T. Nie.(2022).Combined Spatial-Spectral Hyperspectral Image Classification Based on Adaptive Guided Filtering.Traitement Du Signal,39(2),745-754.
MLA L. Huang,et al."Combined Spatial-Spectral Hyperspectral Image Classification Based on Adaptive Guided Filtering".Traitement Du Signal 39.2(2022):745-754.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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