A Cloud Detection Algorithm for MODIS Images Combining Kmeans Clustering and Otsu Method

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Xiang, P.S.^1

College of Electrical and Information Engineering, Southwest Minzu University, Chengdu

610041, China^1

关键词: Automatic cloud detection;    Cloud detection algorithms;    Clustering results;    Initial clustering centers;    k-Means algorithm;    K-means clustering;    Mean values;    Random choice;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062199/pdf
DOI  :  10.1088/1757-899X/392/6/062199

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper proposes a method to choose the initial clustering center for the kmeans algorithm and recognize the clustering results without artificial interpretation: Otsu method are used on the MODIS data to determine cloud pixels and not cloud pixels. Take the nearest pixels from each class's mean value as the initial clustering center of the kmeans algotrithm and determine the category of the clustering results according to the category of the initial clustering center. Theoretically, the method reduce the error caused by the random choice of the initial clustering center in traditional kmeans algorithm and realized automatic cloud detection without artificial interpretation. The experimental results verify the effectiveness of the proposed method.