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.
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, 16(4): 7-10.
CHEN Jian-yu, GUO De-fang, HUANG Peng . THE IMPROVEMENT OF THE FUZZY CLUSTER METHOD FOR NOAA/AVHRR DATA COVERED WITH CLOUD. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(4): 7-10.