基于gpu的区间2型模糊c均值聚类加速卫星影像土地覆盖分类

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) Pub Date : 2012-11-01 DOI:10.1109/ISDA.2012.6416674

L. Ngo, D. Mai, Mau Uyen Nguyen

{"title":"基于gpu的区间2型模糊c均值聚类加速卫星影像土地覆盖分类","authors":"L. Ngo, D. Mai, Mau Uyen Nguyen","doi":"10.1109/ISDA.2012.6416674","DOIUrl":null,"url":null,"abstract":"When processing with large data such as satellite images, the computing speed is the problem need to be resolved. This paper introduces a method to improve the computational efficiency of the interval type-2 fuzzy c-means clustering(IT2-FCM) based on GPU platform and applied to land-cover classification from multi-spectral satellite image. GPU-based calculations are high performance solution and free up the CPU. The experimental results show that the performance of the GPU is many times faster than CPU.","PeriodicalId":370150,"journal":{"name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification\",\"authors\":\"L. Ngo, D. Mai, Mau Uyen Nguyen\",\"doi\":\"10.1109/ISDA.2012.6416674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When processing with large data such as satellite images, the computing speed is the problem need to be resolved. This paper introduces a method to improve the computational efficiency of the interval type-2 fuzzy c-means clustering(IT2-FCM) based on GPU platform and applied to land-cover classification from multi-spectral satellite image. GPU-based calculations are high performance solution and free up the CPU. The experimental results show that the performance of the GPU is many times faster than CPU.\",\"PeriodicalId\":370150,\"journal\":{\"name\":\"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDA.2012.6416674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2012.6416674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 16

摘要

在处理卫星图像等大数据时，计算速度是需要解决的问题。介绍了一种提高基于GPU平台的区间2型模糊c均值聚类(IT2-FCM)计算效率的方法，并将其应用于多光谱卫星影像的土地覆盖分类。基于gpu的计算是高性能的解决方案，并且释放了CPU。实验结果表明，GPU的性能比CPU快很多倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification

When processing with large data such as satellite images, the computing speed is the problem need to be resolved. This paper introduces a method to improve the computational efficiency of the interval type-2 fuzzy c-means clustering(IT2-FCM) based on GPU platform and applied to land-cover classification from multi-spectral satellite image. GPU-based calculations are high performance solution and free up the CPU. The experimental results show that the performance of the GPU is many times faster than CPU.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)

自引率

0.00%

发文量