基于MODIS影像的夜间云检测算法研究
|
摘要
在以往云检测算法的基础上,利用MOD IS传感器高光谱和高时间分辨率的特点,建立一套针对MOD IS夜间影像的,以单、多时相组合方法为基础的夜间云检测算法。通过对我国南北地震构造带(南北带)影像进行云检测试验证实,该算法对MOD IS夜间影像上的各种云类具有较好的检测效果。
Based on traditional cloud detection methods,the authors developed a new algorithm for detecting night cloud according to characteristics of MODIS sensors which have high spectral resolution and time resolution.The algorithm includes the single-scene cloud detection method and the combined multi-scene cloud detection method.The test of night cloud detection on the N-S seismotectonic zone in China shows that this algorithm is effective in detecting night cloud on the MODIS image,and thus it can provide a basis for the effective application of night MODIS image.
Based on traditional cloud detection methods,the authors developed a new algorithm for detecting night cloud according to characteristics of MODIS sensors which have high spectral resolution and time resolution.The algorithm includes the single-scene cloud detection method and the combined multi-scene cloud detection method.The test of night cloud detection on the N-S seismotectonic zone in China shows that this algorithm is effective in detecting night cloud on the MODIS image,and thus it can provide a basis for the effective application of night MODIS image.
引文
[1]Rossow B,Garder C.Cloud Detection Using Satellite Measure-ments of Infrared and Visible Radiances for ISCCP[J].Journal ofClimate,1993,6(12):2341-2369.
[2]Kriebel K,Gesell G.The Cloud Analysis Tool APOLLO:Improve-ments and Validations[J].International Journal of Remote Sens-ing,2003,24(12):2389-2408.
[3]Stowe L,McClain P.Global Distribution of Cloud Cover Derivedfrom NOAA/AVHRR Operational Satellite Data[J].Advances inSpace Research,1991,11(3):51-54.
[4]Wylie D P,Menzel W P.Two Years of Cloud Cover Statistics U-sing VAS[J].Journal of Climate and Applied Meteorology,1989,2(4):380-392.
[5]刘玉洁,杨忠东,等.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.
[6]宋小英,赵英时.MODIS图像的云检测及分析[J].中国图象图形学报,2003,8(9):1079-1083.
[7]王家成,杨世植,等.东南沿海MODIS图像自动云检测的实现[J].武汉大学学报(信息科学版),2006,31(3):270-273.
[8]Gao Bo-cai,Goetz,Alexander F H,et al.Cirrus Cloud Detec-tion from Airborne Imaging Spectrometer Data Using the 1.38 Mi-cron Water Vapor Band[J].Geophysical Research Letters,1993,20(4):301-304.
[9]刘闯.美国对地观测系统(E0S)中分辨率成像光谱仪(MODIS)遥感数据的特点与应用[J].遥感信息,2000,(3):45-48.
[10]马瑾,陈顺云,等.用卫星热红外信息研究关联断层活动的时空变化———以南北地震构造带为例[J].地球物理学报,2006,49(3):816-823.
[11]何全军,曹静,等.基于多光谱综合的MODIS数据云检测研究[J].国土资源遥感,2006,(3):19-22
[2]Kriebel K,Gesell G.The Cloud Analysis Tool APOLLO:Improve-ments and Validations[J].International Journal of Remote Sens-ing,2003,24(12):2389-2408.
[3]Stowe L,McClain P.Global Distribution of Cloud Cover Derivedfrom NOAA/AVHRR Operational Satellite Data[J].Advances inSpace Research,1991,11(3):51-54.
[4]Wylie D P,Menzel W P.Two Years of Cloud Cover Statistics U-sing VAS[J].Journal of Climate and Applied Meteorology,1989,2(4):380-392.
[5]刘玉洁,杨忠东,等.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.
[6]宋小英,赵英时.MODIS图像的云检测及分析[J].中国图象图形学报,2003,8(9):1079-1083.
[7]王家成,杨世植,等.东南沿海MODIS图像自动云检测的实现[J].武汉大学学报(信息科学版),2006,31(3):270-273.
[8]Gao Bo-cai,Goetz,Alexander F H,et al.Cirrus Cloud Detec-tion from Airborne Imaging Spectrometer Data Using the 1.38 Mi-cron Water Vapor Band[J].Geophysical Research Letters,1993,20(4):301-304.
[9]刘闯.美国对地观测系统(E0S)中分辨率成像光谱仪(MODIS)遥感数据的特点与应用[J].遥感信息,2000,(3):45-48.
[10]马瑾,陈顺云,等.用卫星热红外信息研究关联断层活动的时空变化———以南北地震构造带为例[J].地球物理学报,2006,49(3):816-823.
[11]何全军,曹静,等.基于多光谱综合的MODIS数据云检测研究[J].国土资源遥感,2006,(3):19-22
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心