关键词: 数字遥感图像, 增量聚类, 分类

Abstract: The development of the remote sensing technology makes very abundant information obtained，which extends the visual field of the nature for people.But the challenge that faces us is how to make use of the data effectively and obtain more useful information through some processing.With the rapid development of data capture method of remote sensing，the traditional classification method result in not only reducing the classification accuracy but also making the spatial data redundant and wasting the resource.So，a new digital remote imagine classification method based on Clustering Algorithm with Density and adaptive Density-reachable（CADD） is proposed.Theoretic analysis and experimental results indicated that this method is effective to make classification of remote sensing image.

Key words: Digital remote sensing image, Increment clustering, Classification