A Method of Identifying Thunderstorm Clouds in Satellite Cloud Image Based on Clustering

• 作者: Dantong Ouyang Hongtao Bai Lili He Meng Wang Qianlong Yang Yaqing Liu Yu Jiang
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: CLOUD COMPUTING cluster analysis FCM DBSCAN THUNDERSTORM CLOUDS satellite CLOUD image
• 年，卷（期）: 2018,（12）
• 页码范围: 549-570
• 页数: 22页
• 分类号: TP3

摘要

In this paper,the clustering analysis is applied to the satellite image segmentation,and a cloud-based thunderstorm cloud recognition method is proposed in combination with the strong cloud computing power.The method firstly adopts the fuzzy C-means clustering(FCM)to obtain the satellite cloud image segmentation.Secondly,in the cloud image,we dispose the‘high-density connected’pixels in the same cloud clusters and the‘low-density connected’pixels in different cloud clusters.Therefore,we apply the DBSCAN algorithm to the cloud image obtained in the first step to realize cloud cluster knowledge.Finally,using the method of spectral threshold recognition and texture feature recognition in the steps of cloud clusters,thunderstorm cloud clusters are quickly and accurately identified.The experimental results show that cluster analysis has high research and application value in the segmentation processing of meteorological satellite cloud images.