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基于云雾与晴空地表混合像元的云雾检测算法
引用本文:马慧云,范冲,赵向东.基于云雾与晴空地表混合像元的云雾检测算法[J].国土资源遥感,2010,21(1):55-59.
作者姓名:马慧云  范冲  赵向东
作者单位:1. 中南大学测绘与国土信息工程系,长沙,410083
2. 大连黑石礁65015部队五队,大连,116023
基金项目:武汉大学测绘遥感信息工程国家重点实验室基金项目(编号:WKL(07)0102)资助
摘    要:从专家目视判别晴空地表与云雾的原理出发,针对不同时区晴空地表与云雾分离检测算法的难点进行了研究,提出一种适应于不同时区的白天晴空地表与云雾分离的遥感检测算法。应用10幅不同时区MODIS图像对算法的可行性、稳定性及精度进行评定的结果表明,该算法可行性较强,稳定性较高,且不需人工干预。

关 键 词:晴空地表  云雾  时区  自适应阈值  MODIS

An Algorithm for Separating Cloud-Fog from Surface Features Based on Mixed Pixels
MA Hui-yun,FAN Chong,ZHAO Xiang-dong.An Algorithm for Separating Cloud-Fog from Surface Features Based on Mixed Pixels[J].Remote Sensing for Land & Resources,2010,21(1):55-59.
Authors:MA Hui-yun  FAN Chong  ZHAO Xiang-dong
Institution:1.Department of Surveying and Geo-informatics;Central South University;Changsha 410083;China;2.65015 Troops;Dalian 116023;China
Abstract:The difficulties in separating cloud-fog from surface features in different time zones were studied in this paper.Based on the principle of visual interpretation,the authors have developed an adaptive threshold algorithm for separating cloud-fog from surface features.The parameters were determined based on MODIS data,and the stability,feasibility and precision of this algorithm were verified based on validation data.According to the results,this algorithm has strong stability and feasibility and can be perf...
Keywords:Surface features  Cloud-fog  Time zone  Adaptive threshold  MODIS  
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