摘要
遥感数据普遍存在信息失真和信息缺失的现象,严重阻碍了数据的进一步应用,尤其是在一些环境特殊的区域。重庆天气多云多雾,地表反射率产品大量信息缺失,很多时域滤波方法不能进行处理。本文采用时空重建法对重庆市某区域的地表反射率数据进行了重建,实验结果表明,在多云雾环境下时空重建法的重建效果较好,不仅能够保持数据时域的连续性,保证数据空间的完整性,还能够较好地拟合原始有效数据。
The phenomenon of information distortion and lack of information commonly exists in remote sensing data,which seriously hinders the further application of data,especially in some areas with special environment.Chongqing common cloudy foggy weather,the surface reflectance products on the existence of a large number of missing information,many time domain filtering method cannot be processed.Therefore,the paper uses the spatio-temporal reconstruction method to rebuild the daily reflectance data of Chongqing.The experimental results show that the reconstructed effect of spatio-temporal reconstruction method is better than that of harmonic analysis,the use of space-time reconstruction method to rebuild the daily surface reflectance data,not only to maintain the continuity of the data domain to ensure the integrity of the data space,but also to better fit the original effective data.
作者
李莲芳
张强
LI Lianfang;ZHANG Qiang(Chongqing Surveying Institute,Chongqing 401121,China;Chongqing Meteorological Bureau,Chongqing 401147,China)
出处
《北京测绘》
2019年第10期1254-1257,共4页
Beijing Surveying and Mapping
关键词
时空连续
泊松方程
谐波分析
重建效果
spatio-temporally continuous
surface reflectance
poisson equation harmonic analysis
reconstruction effect
