An approach for hyperspectral image classification by optimizing SVM using self organizing map

doi:10.1016/j.jocs.2017.07.016

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	An approach for hyperspectral image classification by optimizing SVM using self organizing map
	Jain, Deepak Kumar 1; Dubey, Surendra Bilouhan 2; Choubey, Rishin Kumar 2; Sinhal, Amit 3; Arjaria, Siddharth Kumar 2; Jain, Amar 4; Wang, Haoxiang 5,6
发表期刊	JOURNAL OF COMPUTATIONAL SCIENCE
ISSN	1877-7503
	2018-03-01
卷号	25 页码:252-259
通讯作者	Jain, Amar(amarahi90@gmail.com)
摘要	In this paper, an efficient technique for the classification of Hyper-Spectral Images taken form satellite is actualized. The Proposed Methodology is based on the concept of optimizing Support Vector Machine (SVM) using Self Organizing Maps (SOM) and then classification of Interior and Exterior Pixels can be done by the comparing the Posterior Probability of each of the pixel intensities. The Methodology applied here works in two phases, first is to train the important features from the image by Optimizing Support Vector Machine using Self Organizing Maps and second is to find the Interior and Exterior Pixels and Comparing Optimal Threshold and Probability. The Experimental results are performed on two datasets which consists of 16 and 9 classes such as corn-no till, corn, soybeans-no till, corn-min till, soybeans-clean till, soybeans min till alfalfa, grass/trees, grass/pasture, grass/pasture-mowed, oats, hay windrowed wheat, woods, stone-steel towers and building-grass-trees-drives, The proposed Methodology Outperforms better in comparison with the existing Classification methodology in terms of Accuracy and Kappa and Confusion Matrix. (C) 2017 Elsevier B.V. All rights reserved.
关键词	Self organizing Map(SOM) Support vector Machine(SVM) Classification Hyper-spectral image
DOI	10.1016/j.jocs.2017.07.016
关键词[WOS]	SPATIAL-RESOLUTION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号	WOS:000431933300025
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28154
专题	离退休人员
通讯作者	Jain, Amar
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Technocrats Inst Technol, Bhopal, India 3.Technocrats Inst Technol, Dept Informat Technol, Bhopal, India 4.Samrat Ashok Technol Inst, Vidisha, India 5.Cornell Univ, Dept ECE, Ithaca, NY 14853 USA 6.GoPercept Lab, R&D Ctr, Ithaca, NY USA
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Jain, Deepak Kumar,Dubey, Surendra Bilouhan,Choubey, Rishin Kumar,et al. An approach for hyperspectral image classification by optimizing SVM using self organizing map[J]. JOURNAL OF COMPUTATIONAL SCIENCE,2018,25:252-259.
APA	Jain, Deepak Kumar.,Dubey, Surendra Bilouhan.,Choubey, Rishin Kumar.,Sinhal, Amit.,Arjaria, Siddharth Kumar.,...&Wang, Haoxiang.(2018).An approach for hyperspectral image classification by optimizing SVM using self organizing map.JOURNAL OF COMPUTATIONAL SCIENCE,25,252-259.
MLA	Jain, Deepak Kumar,et al."An approach for hyperspectral image classification by optimizing SVM using self organizing map".JOURNAL OF COMPUTATIONAL SCIENCE 25(2018):252-259.