遥感技术与应用 2016, Vol. 31 Issue (6): 1122-1130 DOI: 10.11873/j.issn.1004-0323.2016.6.1122 |
数据与图像处理 |
|
|
|
|
基于空间邻域信息的高光谱遥感影像半监督协同训练 |
朱济帅1,尹作霞2,谭琨1,王雪1,李二珠3,杜培军3 |
(1.中国矿业大学 江苏省资源环境信息工程重点实验室,江苏 徐州 221116;
2.济南市城市规划咨询服务中心,山东 济南 250099;
3.卫星测绘技术与应用国家测绘地理信息局重点实验室,南京大学,江苏 南京 210023) |
|
Semi-supervised Tri_training Hyperspectral Image Classification Approach based on Spatial Neighborhood Information |
Zhu Jishuai1,Yin Zuoxia2,Tan Kun1,Wang Xue1,Li Erzhu2,Du Peijun3 |
(1.Jiangsu Key Laboratory of Resources and Environment Information Engineering,
China University of Mining and Technology,Xuzhou 221116,China;
2.Jinan City Planning and Consulting Service Center,Jinan 250099,China;
3.Key laboratory for Satellite Mapping Technology and Applications of State Administration
of Surveying,Mapping and Geoinformation of China,Nanjing 210003,China) |
引用本文:
朱济帅,尹作霞,谭琨,王雪,李二珠,杜培军. 基于空间邻域信息的高光谱遥感影像半监督协同训练[J]. 遥感技术与应用, 2016, 31(6): 1122-1130.
Zhu Jishuai,Yin Zuoxia,Tan Kun,Wang Xue,Li Erzhu,Du Peijun. Semi-supervised Tri_training Hyperspectral Image Classification Approach based on Spatial Neighborhood Information. Remote Sensing Technology and Application, 2016, 31(6): 1122-1130.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1122
或
http://www.rsta.ac.cn/CN/Y2016/V31/I6/1122
|
[1]Landgrebe D.Hyperspectral Image Data Analysis[J].IEEE Signal Processing Magazine,2002,19(1):1728.[2]TanKun,Du Peijun.Hyperspectral Remote Sensing Image Classification based on Support Vector Meachine[J],Journal of Infrared and Millimeter Waves,2008,27(2):123128.[谭琨,杜培军.基于支持向量机的高光谱遥感图像分类[J].红外与毫米波学报,2008,28(2):123128.][3]Bazi Y,Alajlan N,Melgani F,et al.Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images[J].IEEE Geoscience and Remote Sensing Letters,2014,11(6):10661070.[4]Pal M.Random Forest Classifier for Remote Sensing Classification[J].International Journal of Remote Sensing,2005,26(1):217222.[5]Zhang Huawei,Wang Mingwen,Gan Lixin.Automatic Text Classification Model based on Random Forest[J].山东大学学报(理学版),2006,41(3):59.[张华伟,王明文,甘丽新.基于随机森林的文本分类模型研究[J].山东大学学报(理学版),2006,41(3):59.][6]Li J,BioucasDias J M,Plaza A.Spectralspatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(3):809823.[7]Zhu X,Goldberg A B.Introduction to Semisupervised Learning[J].Synthesis Lectures on Artificial Intelligence and Machine Learning,2009,3(1):1130.[8]Zhang Lei,Shao Zhenfeng,Zhou Xiran,et al.Semisupervised Collaborative Classification for Hyperspectral Remote Sensing Image with Combination of Cluster Feature and SVM[J].Acta Geodaetica et Cartographica Sinica,2014,43(8):855861.[张磊,邵振峰,周熙然,等.聚类特征和SVM 组合的高光谱影像半监督协同分类[J].测绘学报,2014,43(8):855861.][9]Tan K,Zhou S,Du Q.Semisupervised Discriminant Analysis for Hyperspectral Imagery With Blocksparse Graph[J].IEEE Geoscience and Remote Sensing Letters,2015,12(8):15.[10]Tuia D,Ratle F,Pacifici F,et al.Active Learning Methods for Remote Sensing Image Classification[J].IEEE Transactions on Geoscience and Remote Sensing,2009,48(7):22182232.[11]Huang R,He W.Using Tritraining to Exploit Spectral and Spatial Information for Hyperspectral Data Classification[C]//International Conference on IEEE Computer Vision in Remote Sensing (CVRS),2012:3033.[12]Tan K,Li E,Du Q,et al.An Efficient SemiSupervised Classification Approach for Hyperspectral Imagery[J].ISPRS Journal of Photogrammetry & Remote Sensing,2014,97:3645.[13]Blum A,Mitchell T.Combining Labeled and Unlabeled Data with Cotraining[C]//Proceedings of the Eleventh Annual Conference on Computational Learning Theory.ACM,Madison,Wisconsin,1998:92100.[14]Goldman S A,Zhou Y.Enhancing Supervised Learning with Unlabeled Data[C]//Proceedings of the Seventeenth International Conference on Machine Learning.Morgan Kaufmann Publishers Inc.,Palo Alto,California,2000:327334.[15]Zhou Y,Goldman S.Democratic Colearning.Tools with Artificial Intelligence[C]//Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence.Boca Raton,Florida,2004:594202.[16]Zhou Z H,Li M.Tritraining:Exploiting Unlabeled Data using Three Classifiers[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(11):15291541.[17]Kuncheva L I,Whitaker C J.Ten Measures of Diversity in Classifier Ensembles:Limits for Two Classifiers[J].Proc of Iee Workshop on Intelligent Sensor Processing,2001,(50):10/11010.[18]Li Shijin,Tao Jian,Wan Dingsheng,et al.Contentbased Remote Sensing Image Retrieval Using Cotraining of Multiple Classifiers[J].Journal of Remote Sensing,2010,14(3):493506.[ 李士进,陶剑,万定生,等.多分类器实例协同训练遥感图像检索[J].遥感学报,2010,14(3):493506.][19]Dopido I,Li J,Marpu P R,et al.Semisupervised Selflearning for Hyperspectral Image Classification[J].IEEE Transactions on Geoscience and Remote Sensing,2013,51(7):40324044. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|