[1]张成才,李飞,王艳梅,等.MKFCM算法在遥感影像分类中的应用研究[J].郑州大学学报(工学版),2020,41(03):20-25.[doi:10.13705/j.issn.1671-6833.2019.05.024]
　Zhang Chengcai,Li Fei,Wang Yanmei,et al.Research on emote Sensing Image Classification based on Multi-core Fuzzy C-means Clustering[J].Journal of Zhengzhou University (Engineering Science),2020,41(03):20-25.[doi:10.13705/j.issn.1671-6833.2019.05.024]
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MKFCM算法在遥感影像分类中的应用研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
41
期数:
2020年03期
页码:
20-25
栏目:
出版日期:
2020-07-29

文章信息/Info

Title:
Research on emote Sensing Image Classification based on Multi-core Fuzzy C-means Clustering
作者:
张成才; 李飞; 王艳梅; 罗蔚然
郑州大学水利与环境学院
Author(s):
Zhang Chengcai; Li Fei; Wang Yanmei; Luo Weiran
School of Water Conservancy and Environment, Zhengzhou University
关键词:
遥感影像; 多核; 模糊C均值; 核函数
Keywords:
remote sensing images; multi-core; fuzzy C-means; kernel function
DOI:
10.13705/j.issn.1671-6833.2019.05.024
文献标志码:
A
摘要:
模糊C均值聚类(FCM)进行分类时，考虑像元间相关性的问题增加像元间相关性，多核模糊聚类MKFCM)算法，即将核函数引入到像元在特征空间的分布特点，自动筛选出间的最佳权重组合为研究数据，与分类的像元
Abstract:
Fuzzy C-means clustering (FCM) algorithm does not consider the correlation between pixels when classifying remote sensing images. In order to increase the correlation information between pixels, a multi-core fuzzy C-means clustering (MKFCM) algorithm is proposed, in which multiple kernel functions are introduced into FCM algorithm. And automatically filters out the optimal weight combination among kernel functions according to the distribution characteristics of pixels in feature space. The medium-high resolution Landsat8 images and high resolution Pleiades images as research data, and by analyzing the accuracy of classification results of MKFCM and FCM algorithm ,the results show that MKCM algorithm can better distinguish pixels with similar spectral information for different resolution remote sensing images, and whether the accuracy of the single category or the overall classification accuracy is higher than the FCM algorithm, which provides an effective way to accurately extract the regional land cover information

相似文献/References:

[1]李爱民,刘杉,吕安民..基于卫星遥感影像的郑州市建成区扩展变化研究[J].郑州大学学报(工学版),2011,32(02):125.[doi:10.3969/j.issn.1671-6833.2011.02.031]

更新日期/Last Update: 2020-07-28