THE IMPROVEMENT OF THE FUZZY CLUSTER METHOD FOR NOAA/AVHRR DATA COVERED WITH CLOUD

doi:10.6046/gtzyyg.2004.04.03

Download: PDF(1086 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

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.

Issue Date: 02 August 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

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, 16(4): 7-10.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2004.04.03 OR https://www.gtzyyg.com/EN/Y2004/V16/I4/7

[1] 张仁华,孙晓敏,苏红波,等.遥感及其地球表面时空多变要素的区域尺度转换［J］.国土资源遥感,1999,41(3):51-57.

[2] 骆剑承,周成虎,杨艳.具有部分监督的遥感影像模糊聚类方法研究及应用［J］.遥感技术与应用,1999,14(4):37-43.

[3] Bezdek J C, etc. Convergence Theory for Fuzzy c-Means: Counterexamples and Repairs［J］.IEEE Trans. IEEE SMC, 1987, 17(5): 873-877.

[4] 高新波,谢维信.模糊聚类理论发展及应用的研究进展［J］.科学通报,1999,44(21):2241-2251.

[5] 陈守煜.工程模糊集理论和应用［M］.北京:国防工业出版社,1998.

[6] 高新波,谢维信,李洁.模糊Cz均值聚类算法中参数m的优选［J］.模式识别与人工智能,2000,13(1):7-11.