基于数据融合方法和信息熵的呼和浩特市城市建成区边界提取研究  

Study on Boundary Extracting in Hohhot Based on Data Fusion and Information Entropy Method

作　　者：陈建波[1] 巴雅尔[1] 孙广福[1] CHEN Jian-bo Bayaer SUN Guang-fu(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022 ,China)

机构地区：[1]内蒙古师范大学地理科学学院,内蒙古呼和浩特010022

出　　处：《内蒙古师范大学学报（自然科学汉文版）》2017年第2期236-240,共5页Journal of Inner Mongolia Normal University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(41161014);内蒙古师范大学研究生科研创新基金项目(CXJJS15098)

摘　　要：以呼和浩特市为例,采用2014年8月24日成像的Landsat 8OLI数据作为基础数据,在ArcGIS、ENVI、Fragstats软件的支持下,运用土地利用信息熵模型,将研究区域分别按1km×1km和0.5km×0.5km的单元划分,计算每个单元的熵值,分别将熵值0.8和0.7作为突变值确定呼和浩特建成区边界,通过比较分析得出,0.5km×0.5km窗口下提取的城市建成区精度高于1km×1km窗口.Taken Landsat 80LI image data of Hohhot as basic data source which was received on August 24,2014. The study area was divided into 1 km × 1 km and 0.5 km × 0. 5 km entropy calculation units respectively. By the application of information entropy model, the entropy values were calculated using software of ArcGIS,ENVI and Fragstats. It also taken 0.8 and 0.7 as the sudden value to determine the boundary of Hohhot after calculating the entropy value, and the final result has been shown to have high accuracy. 0. 5 km × 0. 5 km entropy calculation units was found to be the higher accurate than 1 km× 1 km entropy calculation units.

关 键 词：呼和浩特 遥感 数据融合 信息熵 城市边界 

分 类 号：C912.81[经济管理]