首页 | 本学科首页   官方微博 | 高级检索  
     

基于混合像元分解和双边界提取的湖泊面积变化监测
引用本文:胡争光,王祎婷,池天河,刘素红,毕建涛.基于混合像元分解和双边界提取的湖泊面积变化监测[J].遥感信息,2007(3):34-38.
作者姓名:胡争光  王祎婷  池天河  刘素红  毕建涛
作者单位:1. 中国科学院遥感应用研究所国家遥感工程研究中心,北京,100101
2. 北京师范大学地理与遥感学院,北京,100875
基金项目:国家科技攻关项目;国家基础性条件平台
摘    要:如何通过充分考虑地物复杂性和地域时间限制,提高混合像元分解算法的精度和普适性,是目前基于中低分辨率遥感数据进行湖泊面积监测所面临的主要问题。针对问题,提出了一种结合双边界提取和混合象元分解的高效算法,最后基于AVHRR数据对中国东北,内蒙古地区的湖泊面积变化进行遥感监测,验证了算法的高精度和可行性。

关 键 词:湖泊面积变化监测  混合像元分解  双边界提取  端元
文章编号:1000-3177(2007)91-0034-05
修稿时间:2006-10-07

Monitoring Lake Areas Based on Mixed Pixel Decomposition Combined with Double-edge Extraction
HU Zheng-guang,WANG Yi-ting,CHI Tian-he,LIU Su-hong,BI Jian-Tao.Monitoring Lake Areas Based on Mixed Pixel Decomposition Combined with Double-edge Extraction[J].Remote Sensing Information,2007(3):34-38.
Authors:HU Zheng-guang  WANG Yi-ting  CHI Tian-he  LIU Su-hong  BI Jian-Tao
Affiliation:1. Institute of Remote Sensing Application, CAS , Beij ing , 100101 ,China ; 2. School of Geography, Beijing Normal University, Beijing , 100875,China
Abstract:The major difficulty in monitoring lake areas based on moderate or low resolution RS data is how to improve the accuracy and applicability of decomposition of mixed pixels,considering both the complexity of objects and limitations of time and space.To solve the problem,this paper proposes an efficient model combing double-edge extraction with decomposition of mixed pixels,the accuracy and applicability of which is attested by computing lake areas of northwestern China using AVHRR images.
Keywords:monitoring of lake areas  decomposition of mixed pixels  double-edge extraction  endmember
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号