An approach for hyperspectral image classification by optimizing SVM using self organizing map
文献类型：期刊论文
| 作者 | Jain, Deepak Kumar2; Dubey, Surendra Bilouhan1; Choubey, Rishin Kumar1; Sinhal, Amit3; Arjaria, Siddharth Kumar1; Jain, Amar4; Wang, Haoxiang5,6 |
| 刊名 | JOURNAL OF COMPUTATIONAL SCIENCE
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 25页码:252-259 |
| 关键词 | Self organizing Map(SOM) Support vector Machine(SVM) Classification Hyper-spectral image |
| ISSN号 | 1877-7503 |
| DOI | 10.1016/j.jocs.2017.07.016 |
| 通讯作者 | Jain, Amar(amarahi90@gmail.com) |
| 英文摘要 | 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. |
| WOS关键词 | SPATIAL-RESOLUTION |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000431933300025 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28153]  |
| 专题 | 离退休人员 |
| 通讯作者 | Jain, Amar |
| 作者单位 | 1.Technocrats Inst Technol, Bhopal, India 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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