资源简介

摘要： 近年来高分辨率影像技术发展迅速,土地专题信息的提取对高分辨率数据处理的质量提出了更高的要求,针对配准误差对影像处理和应用的影响研究,有助于专题信息提取过程中遥感数据处理质量控制指标的确定。选取北京市通州区不同时相的IKONOS影像作为实验数据进行模拟研究,在实验研究中通过产生具有不同配准误差的图像,从影像融合、土地覆盖分类和变化检测等角度,分析不同的配准误差对遥感应用的影响。结果表明:随着配准误差的增大,融合图像的可分辨性降低,配准误差增加到3个像元时,土地覆盖分类精度降低2~3%,土地覆盖变化检测中增加了5%的伪变化信息,虚检率增大。 关键词： 高分辨率;  遥感;  配准;  误差      Abstract: The high\|resolution imaging techniques have been developing unprecedentedly in recent years.The land thematic information extraction puts forward higher request to the quality of high-resolution iamge processing.The research of registration errors influence on image processing and application is conductive to the quality control indicators determination of remote sensing data processing in the thematic information extraction.The IKONOS images wasnt acquired at the same time of north Tongzhou District,Beijing,were selected as the experimental data and images with different registration errors were produced for the simulation studies.The influence of different registration errors on the remote sensing application is analyzed from three perspectives:the image fusion,the land cover classification and the change detection,and different indices of processing quality are chosen for them.The results show that the distinguishablity of the fused image reduces with an increase in the registration error when the halved mean\|squared difference between the two image gray values rise up.If the latter increases by 3 pixels,the land cover classification accuracy will reduce by 2%~3%,and the virtual inspection rate goes up when the false land cover change information increases by 5%.Therefore,the quality of image fusion,land cover classification and change detection decrease with the increase of the registration error.

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