| 云干扰下NOAA图像数据模糊聚类方法的改进 |
| |
| 引用本文： | 陈建裕,郭德方,黄鹏. 云干扰下NOAA图像数据模糊聚类方法的改进[J]. 国土资源遥感, 2004, 15(4): 7-10 |
| |
| 作者姓名： | 陈建裕 郭德方 黄鹏 |
| |
| 作者单位： | 浙江大学地球科学系,杭州,310027 |
| |
| 基金项目： | 浙江省自然科学基金项目(编号: 400032). |
| |
| 摘 要： | 利用多时相NOAA/AVHRR热红外数据构成像元级的时间序列,根据不同像元上时间序列曲线的距离和相似度进行聚类分析；对传统的模糊C-均值聚类算法进行改进,在算法中引入指标权重,对不同质量的数据赋予不同的指标权重。试验表明,改进后的算法扩大了应用范围,克服了单幅图像常存在的云干扰,实际效果明显。
|
| 关 键 词： | 加权模糊C-均值聚类 时间序列曲线 |
| 文章编号： | 1001-070(2004)04-0007-04 |
| 收稿时间： | 2004-02-12 |
| 修稿时间： | 2004-03-29 |
THE IMPROVEMENT OF THE FUZZY CLUSTER METHOD FOR NOAA/AVHRR DATA COVERED WITH CLOUD |
| |
| CHEN Jian-yu,GUO De-fang,HUANG Peng. THE IMPROVEMENT OF THE FUZZY CLUSTER METHOD FOR NOAA/AVHRR DATA COVERED WITH CLOUD[J]. Remote Sensing for Land & Resources, 2004, 15(4): 7-10 |
| |
| Authors: | CHEN Jian-yu GUO De-fang HUANG Peng |
| |
| Affiliation: | Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China |
| |
| Abstract: | This paper deals with the improvement of the fuzzy C-means cluster method with weighted data by applying it to multidate NOAA/AVHRR thermal data. With the values at one point on many time images, we can construct a time series vector. In the new algorithm using the vector similarity as a new fuzzy membership expression, we can classify the thermal data. The authors also give each value a power according to its identification as a real value of surface or a value of cloud. The result shows that the new algorithm has achieved great improvement in precision and flexibility in comparison with the ISODATA method. |
| |
| Keywords: | Weighted fuzzy C-means clustering Time series curve |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《国土资源遥感》浏览原始摘要信息 |
|
点击此处可从《国土资源遥感》下载全文 |
|
