期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B2
页码：285-288
出版社：Copernicus Publications
摘要：This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based on cloud model and histogram. Turning the traditional clear interval data to cloud, this method draws the cloud histogram according to the cloud fuzzy frequency of each appraisal unit calculated from its total score, and promptly and accurately detects the peak points and valley points of the histogram through the automatic detecting algorithm to determine the land grade boundary. The method successfully takes into consider the fuzzy of data intervals, diminishes the abnormity in traditional histogram, and makes the land grade clustering results more reasonable and practical
