%0 Journal Article
%T RECOGNITION BASED ON DEM OF GEOMORPHOLOGIC TYPE OF KARST DRAINAGE<br>基于DEM的喀斯特流域地貌类型的识别
%A He Zhonghua
%A Liang Hong
%A Huang Fasu
%A Zhao Fang
%A <br>贺中华
%A 梁 虹
%A 黄法苏
%A 赵 芳
%J 大地测量与地球动力学
%D 2008
%I 
%X Twenty nine karst drainages are chosen for analysis of the five factors which affect the growth of geomorphologic type,and the choice is based on the TM image,CBERS image and DEM data which are extracted by use of RS and GIS techniques and from the ASTER image of Guizhou Province.This research procedure includes the extraction of 24 indices,data processing and multivariate regression analysis by means of softwares SPSS and MATLAB and proposing the mathmatical models for recognition of different geomorphologic type of karst drainage and then the very good recognational effect can be obtained through varience analysis and sample zone checking.
%K geomorphology of karst drainage
%K ASTER
%K DEM(Digital Elevation Model)
%K RS and GIS
%K multivariate regression analysing<br>喀斯特流域地貌
%K ASTER影像
%K 数字高程模型(DEM)
%K RS和GIS技术
%K 多元回归分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=EA5AB701F69920653132504049A99E9E&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=D997634CFE9B6321&eid=8E6AB9C3EBAAE921&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=18