激光与光电子学进展, 2018, 55 (4): 041010, 网络出版: 2018-09-11  

基于自适应流形滤波的高光谱图像分类方法 下载: 861次

Hyperspectral Image Classification Method Based on Adaptive Manifold Filtering
作者单位
广东交通职业技术学院轨道交通学院, 广东 广州 510650
引用该论文

廖建尚, 王立国, 郝思媛. 基于自适应流形滤波的高光谱图像分类方法[J]. 激光与光电子学进展, 2018, 55(4): 041010.

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

参考文献

[1] 童庆禧, 张兵, 张立福. 中国高光谱遥感的前沿进展[J]. 遥感学报, 2016, 20(5): 689-707.

    Tong Q X, Zhang B, Zhang L F. Current progress of hyperspectral remote sensing in China[J]. Journal of Remote Sensing, 2016, 20(5): 689-707.

[2] 樊利恒, 吕俊伟, 邓江生. 基于分类器集成的高光谱遥感图像分类方法[J]. 光学学报, 2014, 34(9): 0910002.

    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, 2014, 34(9): 0910002.

[3] 廖建尚, 王立国. 两类空间信息融合的高光谱图像分类方法[J]. 激光与光电子学进展, 2017, 54(8): 081002.

    Liao J S, Wang L G. Hyperspectral image classification method based on fusion with two kinds of spatial information[J]. Laser & Optoelectronics Progress, 2017, 54(8): 081002.

[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, 2017, 26(1): 426-438.

[5] Yu HY, Gao LR, LiJ, et al. Spectral-spatial classification based on subspace support vector machine and Markov random field[C]. Geoscience and Remote Sensing Symposium, 2016: 2783- 2786.

[6] Imani M, Ghassemian H. Edge patch image-based morphological profiles for classification of multispectral and hyperspectral data[J]. IET Image Processing, 2017, 11(3): 164-172.

[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, 2016, 13(3): 359-363.

[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, 2016, 8(4): 296.

[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, 2017, 81: 79-88.

[10] Shen L L, Bai L. Mutual boost learning for selecting Gabor features for face recognition[J]. Pattern Recognition Letters, 2006, 27(15): 1758-1767.

[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, 2017, 55(3): 1381-1395.

[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, 2014, 97: 123-137.

[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, 2016, 54(6): 3174-3187.

[14] 叶珍, 白璘, 粘永健. 基于Gabor特征与局部保护降维的高光谱图像分类算法[J]. 光学学报, 2016, 36(10): 1028003.

    Ye Z, Bai L, Nian Y J. Hyperspectral image classification algorithm based on Gabor feature and locality-preserving dimensionality reduction[J]. Acta Optica Sinica, 2016, 36(10): 1028003.

[15] TomasiC, ManduchiR. Bilateral filtering for gray and color images[C]. Sixth International Conference on Computer Vision, 1998: 839- 846.

[16] 廖建尚, 王立国, 郝思媛. 基于双边滤波和空间邻域信息的高光谱图像分类方法[J]. 农业机械学报, 2017, 48(8): 140-146.

    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, 2017, 48(8): 140-146.

[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, 2016, 8(9): 748.

[18] 廖建尚, 王立国. 空间信息自适应融合的高光谱图像分类方法[J]. 光子学报, 2017, 46(4): 0410001.

    Liao J S, Wang L G. Hyperspectral image classification method based on adaptive fusion of spatial information[J]. Acta Photonica Sinica, 2017, 46(4): 0410001.

[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, 2014, 52(5): 2666-2677.

[20] Gastal E SL, Oliveira MM. Domain transform for edge-aware image and video processing[C]. ACM Transactions on Graphics (TOG), 2011, 30( 4): 69.

[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, 2014, 52(6): 3742-3752.

[22] Gastal E S L, Oliveira M M. Adaptive manifold for real-time high-dimensional filtering[J]. ACM Transactions on Graphics (TOG), 2012, 31(4): 33.

[23] Nasab SE, RamezanpurS, KasaeiS, 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) , 2014: 14825301.

[24] 朱书进, 李跃华. 基于自适应流形高维滤波的太赫兹图像滤波算法[J]. 太赫兹科学与电子信息学报, 2016, 14(4): 497-501.

    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, 2016, 14(4): 497-501.

[25] 周冠霖, 胡伟, 张帆, 等. 基于自适应流形滤波的边缘感知编辑[J]. 计算机工程, 2015, 41(1): 231-235.

    Zhou G L, Hu W, Zhang F, et al. Edge-aware editing based on adaptive manifold filtering[J]. Computer Engineering, 2015, 41(1): 231-235.

[26] Xie W Y, Li Y S, Zhou W P. Hyperspectral image filtering with adaptive manifold for classification[J]. Journal of Electronic Imaging, 2017, 26(3): 033025.

[27] 程力勇, 米高阳, 黎硕, 等. 基于主成分分析-支持向量机模型的激光钎焊接头质量诊断[J]. 中国激光, 2017, 44(3): 0302004.

    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, 2017, 44(3): 0302004.

[28] Melgani F, Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1778-1790.

廖建尚, 王立国, 郝思媛. 基于自适应流形滤波的高光谱图像分类方法[J]. 激光与光电子学进展, 2018, 55(4): 041010. Jianshang Liao, Liguo Wang, Siyuan Hao. Hyperspectral Image Classification Method Based on Adaptive Manifold Filtering[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041010.

引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!