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基于CBERS-02B星数据的土地利用/覆被类型监测应用研究
引用本文:尤淑撑,刘顺喜,周连芳,何宇华,张荣慧,韩毅.基于CBERS-02B星数据的土地利用/覆被类型监测应用研究[J].国土资源遥感,2009(1).
作者姓名:尤淑撑  刘顺喜  周连芳  何宇华  张荣慧  韩毅
作者单位:中国土地规划勘测研究院,北京,100035
基金项目:国土资源部百名优秀青年科技人才计划,中国地质调查局科研项目 
摘    要:研究了基于CBERS-02B星数据的土地利用/覆被类型监测方法,综合评价了基于像素分类法和面向对象法的应用精度和效果.结果表明,基于像素分类法和面向对象分类法分类精度基本可满足土地宏观监测精度,在保证影像质量和训练样本质量情况下,分类精度可达到 80%以上,研究成果可为土地利用宏观监测提供技术参考.

关 键 词:CBERS-02B星  土地调查  遥感

APPLICATION METHOD FOR LAND USE MACRO MONITORING BASED ON CBERS-02B CCD DATA
YOU Shu-cheng,LIU Shun-xi,ZHOU Lian-fang,HE Yuhua,ZHANG Rong-hui,HAN Yi.APPLICATION METHOD FOR LAND USE MACRO MONITORING BASED ON CBERS-02B CCD DATA[J].Remote Sensing for Land & Resources,2009(1).
Authors:YOU Shu-cheng  LIU Shun-xi  ZHOU Lian-fang  HE Yuhua  ZHANG Rong-hui  HAN Yi
Institution:China Land Surveying & Planning Institute;Beijing 100035;China
Abstract:CBERS-02B CCD data can be employed in land use monitoring at the macroscopic scale based on general data quality test. The automatic classification method should be taken into account because this technique requires a larger region and a shorter period than the normal monitoring project. The purpose of this study is to establish a method for land use macroscopic monitoring based on CBERS-02B CCD data. Pixel based and object based classification methods were tested,and the result shows that both of the two a...
Keywords:CBERS-02B satellite  Land use  Dynamic change monitoring  Remote sensing  
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