唐晓燕 Tang Xiaoyan, 高. G. Kun, 刘. L. Ying, 倪国强 Ni Guoqiang
{"title":"基于地标等距映射的高光谱图像端元提取方法","authors":"唐晓燕 Tang Xiaoyan, 高. G. Kun, 刘. L. Ying, 倪国强 Ni Guoqiang","doi":"10.3788/GXJS20144005.0402","DOIUrl":null,"url":null,"abstract":"A fast endmember extraction method based on landmark point selection is presented to overcome the high complexity and memory usage of the classical Isomap-NFINDR algorithm.The proposed method uses the maximin distance method to initial the kcluster centers,and carries out clustering segmentation using spectral angle instead of Euclidean distance.According to the spatial characteristics of the image,Nlandmark points which are near to cluster center are selected from the remaining points after removing the boundary points.Experiments with real images reveal that the algorithm proposed has the similar accuracy with the original algorithm and its operational efficiency is improved by 60 times.","PeriodicalId":35591,"journal":{"name":"光学技术","volume":"40 1","pages":"402-405"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method of endmember extraction in hyperspectral image based on landmark isometric mapping\",\"authors\":\"唐晓燕 Tang Xiaoyan, 高. G. Kun, 刘. L. Ying, 倪国强 Ni Guoqiang\",\"doi\":\"10.3788/GXJS20144005.0402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fast endmember extraction method based on landmark point selection is presented to overcome the high complexity and memory usage of the classical Isomap-NFINDR algorithm.The proposed method uses the maximin distance method to initial the kcluster centers,and carries out clustering segmentation using spectral angle instead of Euclidean distance.According to the spatial characteristics of the image,Nlandmark points which are near to cluster center are selected from the remaining points after removing the boundary points.Experiments with real images reveal that the algorithm proposed has the similar accuracy with the original algorithm and its operational efficiency is improved by 60 times.\",\"PeriodicalId\":35591,\"journal\":{\"name\":\"光学技术\",\"volume\":\"40 1\",\"pages\":\"402-405\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"光学技术\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.3788/GXJS20144005.0402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Physics and Astronomy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"光学技术","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.3788/GXJS20144005.0402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Physics and Astronomy","Score":null,"Total":0}
A method of endmember extraction in hyperspectral image based on landmark isometric mapping
A fast endmember extraction method based on landmark point selection is presented to overcome the high complexity and memory usage of the classical Isomap-NFINDR algorithm.The proposed method uses the maximin distance method to initial the kcluster centers,and carries out clustering segmentation using spectral angle instead of Euclidean distance.According to the spatial characteristics of the image,Nlandmark points which are near to cluster center are selected from the remaining points after removing the boundary points.Experiments with real images reveal that the algorithm proposed has the similar accuracy with the original algorithm and its operational efficiency is improved by 60 times.
光学技术Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
0.60
自引率
0.00%
发文量
6699
期刊介绍:
The predecessor of Optical Technology was Optical Technology, which was founded in 1975. At that time, the Fifth Ministry of Machine Building entrusted the School of Optoelectronics of Beijing Institute of Technology to publish the journal, and it was officially approved by the State Administration of Press, Publication, Radio, Film and Television for external distribution. From 1975 to 1979, the magazine was named Optical Technology, a quarterly with 4 issues per year; from 1980 to the present, the magazine is named Optical Technology, a bimonthly with 6 issues per year, published on the 20th of odd months.
The publication policy is: to serve the national economic construction, implement the development of the national economy, serve production and scientific research, and implement the publication policy of "letting a hundred flowers bloom and a hundred schools of thought contend".