首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Kalman滤波的卫星光谱成像仪非均匀性场景校正
引用本文:王向华.基于Kalman滤波的卫星光谱成像仪非均匀性场景校正[J].上海航天,2008,25(5).
作者姓名:王向华
作者单位:中国科学院,上海技术物理研究所,上海,200083
摘    要:为消除在轨卫星光谱成像仪的非均匀性,提出了一种基于Kalman滤波器校正算法.给出了校正算法,建立了均方根误差和列向粗糙度等评价指标.对美国TERRA卫星MODIS仪器图像的校正试验结果表明:用Kalman滤波器校正方法去除遥感图像中非均匀性条带的效果明显,校正后图像的品质显著提高.

关 键 词:多元探测器  定量化  非均匀性校正  Kalman滤波器  均方根误差  列向粗糙度

Scene-Based Method for Nonuniformity Correction of Medium-Resolution Spectrum Imager
WANG Xiang-hua.Scene-Based Method for Nonuniformity Correction of Medium-Resolution Spectrum Imager[J].Aerospace Shanghai,2008,25(5).
Authors:WANG Xiang-hua
Institution:WANG Xiang-hua(Shanghai Institute of Technical Physics,CAS,Shanghai 200083,China)
Abstract:To delete the nonuniformity of spectrum imager on-board,a nonuniformity correction algorithm based on Kalman filtering was put forward in this paper.The correction algorithm was presented,and evaluation indexes such as mean square error and row roughness were given out.The image correction of MODIS on US TERRA satellite showed that the algorithm of Kalman filtering was available for destirping imaging spectroradiometer data,which could improve the quality of image obviously.
Keywords:Multi-sensors  Quantificational  Nonuniformity correction  Kalman filtering  Mean square error  Row roughness  
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