• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 041010 (2018)
Jianshang Liao1、*, Liguo Wang1, and Siyuan Hao1
Author Affiliations
  • 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
  • 1 School of Communication and Electronic Engineering, Qingdao University of Technology, Qingdao, Shandong 266520, China
  • 1 School of Rail Transit, Guangdong Communication Polytechnic, Guangzhou, Guangdong 510650, China
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    DOI: 10.3788/LOP55.041010 Cite this Article Set citation alerts
    Jianshang Liao, Liguo Wang, Siyuan Hao. Hyperspectral Image Classification Method Based on Adaptive Manifold Filtering[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041010 Copy Citation Text show less
    References

    [1] Tong Q X, Zhang B, Zhang L F. Current progress of hyperspectral remote sensing in China[J]. Journal of Remote Sensing, 20, 689-707(2016).

    [2] Fan L H, Lü J W, Deng J S. Classification of hyperspectral remote sensing images based on bands grouping and classification ensembles[J]. Acta Optica Sinica, 34, 0910002(2014).

    [3] Liao J S, Wang L G. Hyperspectral image classification method based on fusion with two kinds of spatial information[J]. Laser & Optoelectronics Progress, 54, 081002(2017).

    [4] Chen P. Nelson J D B, Tourneret J Y. Towards a sparse Bayesian Markov random field approach to hyperspectral unmixing and classification[J]. IEEE Transactions on Image Processing, 26, 426-438(2017).

    [5] Yu H Y, Gao L R, Li J et al. Spectral-spatial classification based on subspace support vector machine and Markov random field[C]. Geoscience and Remote Sensing Symposium, 2783-2786(2016).

    [6] Imani M, Ghassemian H. Edge patch image-based morphological profiles for classification of multispectral and hyperspectral data[J]. IET Image Processing, 11, 164-172(2017). http://ieeexplore.ieee.org/document/7859512

    [7] Bao R, Xia J S, Mura M D et al. Combining morphological attribute profiles via an ensemble method for hyperspectral image classification[J]. IEEE Geoscience & Remote Sensing Letters, 13, 359-363(2016). http://ieeexplore.ieee.org/document/7381610/

    [8] Song H W, Wang Y. A spectral-spatial classification of hyperspectral images based on the algebraic multigrid method and hierarchical segmentation algorithm[J]. Remote Sensing, 8, 296(2016). http://adsabs.harvard.edu/abs/2016RemS....8..296S

    [9] Cui B G, Ma X D, Xie X Y et al. Classification of visible and infrared hyperspectral images based on image segmentation and edge-preserving filtering[J]. Infrared Physics & Technology, 81, 79-88(2017). http://www.sciencedirect.com/science/article/pii/S1350449516305746

    [10] Shen L L, Bai L. Mutual boost learning for selecting Gabor features for face recognition[J]. Pattern Recognition Letters, 27, 1758-1767(2006). http://www.sciencedirect.com/science/article/pii/S0167865506000353

    [11] He L, Li J, Plaza A et al. Discriminative low-rank Gabor filtering for spectral-spatial hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 1381-1395(2017). http://ieeexplore.ieee.org/document/7765050/

    [12] Wang L G, Hao S Y, Wang Q M et al. Semi-supervised classification for hyperspectral imagery based on spatial-spectral label propagation[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 97, 123-137(2014). http://www.sciencedirect.com/science/article/pii/S0924271614002226

    [13] Jia S, Hu J, Xie Y et al. Gabor cube selection based multitask joint sparse representation for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 54, 3174-3187(2016). http://ieeexplore.ieee.org/document/7389391/

    [14] Ye Z, Bai L, Nian Y J. Hyperspectral image classification algorithm based on Gabor feature and locality-preserving dimensionality reduction[J]. Acta Optica Sinica, 36, 1028003(2016).

    [15] Tomasi C, Manduchi R. Bilateral filtering for gray and color images[C]. Sixth International Conference on Computer Vision, 839-846(1998).

    [16] Liao J S, Wang L G, Hao S Y. Hyperspectral image classification method combined with bilateral filtering and pixel neighborhood information[J]. Transactions of the Chinese Society for Agricultural Machinery, 48, 140-146(2017).

    [17] Wang Y, Song H, Zhang Y. Spectral-spatial classification of hyperspectral images using joint bilateral filter and graph cut based model[J]. Remote Sensing, 8, 748(2016). http://www.researchgate.net/publication/308046778_Spectral-Spatial_Classification_of_Hyperspectral_Images_Using_Joint_Bilateral_Filter_and_Graph_Cut_Based_Model

    [18] Liao J S, Wang L G. Hyperspectral image classification method based on adaptive fusion of spatial information[J]. Acta Photonica Sinica, 46, 0410001(2017).

    [19] Kang X D, Li S T, Benediktsson J A. Spectral-spatial hyperspectral image classification with edge-preserving filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 2666-2677(2014). http://ieeexplore.ieee.org/document/6553593/

    [20] Gastal E S L, Oliveira M M. Domain transform for edge-aware image and video processing[C]. ACM Transactions on Graphics (TOG), 30, 69(2011).

    [21] Kang X D, Li S T, Benediktsson J A. Feature extraction of hyperspectral images with image fusion and recursive filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 3742-3752(2014). http://ieeexplore.ieee.org/document/6600779/

    [22] Gastal E S L, Oliveira M M. Adaptive manifold for real-time high-dimensional filtering[J]. ACM Transactions on Graphics (TOG), 31, 33(2012). http://dl.acm.org/citation.cfm?id=2185529

    [23] Nasab S E, Ramezanpur S, Kasaei S et al. An efficient inference in meanfield approximation by adaptive manifold filtering (machine learning & data mining)[C]. 4 th International eConference on Computer and Knowledge Engineering (ICCKE), 14825301(2014).

    [24] Zhu S J, Li Y H. A terahertz image denoising algorithm based on adaptive manifold and high-dimensional filtering[J]. Journal of Terahertz Science and Electronic Information Technology, 14, 497-501(2016).

    [25] Zhou G L, Hu W, Zhang F et al. Edge-aware editing based on adaptive manifold filtering[J]. Computer Engineering, 41, 231-235(2015).

    [26] Xie W Y, Li Y S, Zhou W P. Hyperspectral image filtering with adaptive manifold for classification[J]. Journal of Electronic Imaging, 26, 033025(2017). http://spie.org/Publications/Journal/10.1117/1.JEI.26.3.033025

    [27] Cheng L Y, Mi G Y, Li S et al. Quality diagnosis of joints in laser brazing based on principal component analysis-support vector machine model[J]. Chinese Journal of Lasers, 44, 0302004(2017).

    [28] Melgani F, Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 42, 1778-1790(2004). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1323134

    Jianshang Liao, Liguo Wang, Siyuan Hao. Hyperspectral Image Classification Method Based on Adaptive Manifold Filtering[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041010
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