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Spectral–Spatial Hyperspectral Image Classification via Non-local Means Filtering Feature Extraction

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Abstract

Hyperspectral image (HSI) classification has been a hot topic of research in recent years. The integration of spectral and spatial context is an effective method for HSI classification. This paper proposes a classification method of HSI based on non-local means (NLM) filtering. Firstly, the classification result of HSI is obtained by adopting the support vector machines. Then, the optimization probability image of spatial structure is obtained by using the spatial context information in the first principal component or the first three principal components of HSI to optimize the initial probability map through the NLM filtering. Finally, the final classification results are calculated based on the maximum probability. Experiment results on three real hyperspectral data demonstrate that the proposed NLM filtering based classification method can improve the classification accuracy significantly. Classification results show the effectiveness and superiority of the proposed methods when compared with other methods.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 51704115, by the Key Laboratory Open Fund Project of Hunan Province University under Grants 17K040 and 15K051, by the Hunan Provincial Natural Science Foundation under Grant 2016JJ2064, by the Fund of Education Department of Hunan Province under Grant 16C0723, and by the Science and Technology Program of Hunan Province under Grant 2016TP1021. The authors would like to thank the Dr. S. Li and the reviewers for their insightful comments and suggestions which have greatly improved this work.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Hunan Institute of Science and Technology, Yueyang, China

    Bing Tu, Xiaofei Zhang, Jinping Wang, Guoyun Zhang & Xianfeng Ou

  2. Key Laboratory of Optimization and Control for Complex Systems, College of Hunan Province, Yueyang, China

    Bing Tu, Xiaofei Zhang, Jinping Wang, Guoyun Zhang & Xianfeng Ou

  3. Laboratory of Intelligent-Image Information Processing, Hunan Institute of Science and Technology, Yueyang, China

    Bing Tu, Xiaofei Zhang, Jinping Wang, Guoyun Zhang & Xianfeng Ou

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  1. Bing Tu
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Correspondence to Bing Tu or Xiaofei Zhang.

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Tu, B., Zhang, X., Wang, J. et al. Spectral–Spatial Hyperspectral Image Classification via Non-local Means Filtering Feature Extraction. Sens Imaging 19, 11 (2018). https://doi.org/10.1007/s11220-018-0196-9

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