%0 Journal Article
%T Self-similarity Degree of Terrain Surface and Class Perception<br>地形表面的自相似程度与分类感知
%A Li Xu-tao
%A Peng Fu-yuan
%A Cao Han-qiang
%A Zhu Guang-xi
%A <br>李旭涛
%A 彭复员
%A 曹汉强
%A 朱光喜
%J 电子与信息学报
%D 2007
%I 
%X Terrain surface is not always so perfect that it keeps invariable self-similar characteristic in whole scale space. To describe the degree of the self-similarity, the self-similarity curve is divided into several linear parts and then a new parameter called Self-Similarity Degree (SSD) is presented in the similitude of information entropy. Furthermore, the simulation in which distance measurement and fuzzy c mean clustering are adopted and it shows that the new parameter is the effective feature for terrain recognition. As the presented feature provides more information than traditional single Hurst feature, the precision of terrain classing is improved.
%K Fractal
%K Self-similarity
%K Measure scale
%K Model classing<br>分形
%K 自相似特性
%K 度量码尺
%K 模式分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=AB3AD26A4772D3B8&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=D33D183F2D768286&eid=36534BF3EA0E1826&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=6