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在高分辨率遥感影像中,线性特征提取一直是个难题,难主要表现在线性地物的边缘信息和噪音是一对矛盾体,边缘信息越明显,噪音就越强。本文利用高通滤波和统计滤波器,构建一个多重滤波,对IKONOS影像进行处理,通过三种不同高通滤波窗口对IKONOS影像处理结果的比对,得到一个较好的高通滤波处理窗口,处理后的IKONOS影像边界特征突出、区域模糊程度减小,目标地物大致轮廓已经区分出来,在此基础上对影像进行统计滤波处理,噪音明显减少,灰度分布更加集中和平滑,对高通滤波和统计滤波处理后的图像进行边缘检测,经过统计滤波后的图像较只进行高通滤波后的图像检测结果较好。实验结果表明:滤波后的影像噪音明显降低,信噪比明显提高,统计滤波后的影像,能够提高检测精度,表明了从高分辨率卫星影像上自动提取矢量信息的可行性,并为边缘检测的细化与跟踪处理提供了可靠的数据来源。 相似文献
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流域不透水面及其变化信息提取(英文) 总被引:3,自引:0,他引:3
Impervious surface is one of the important parameters of valley water circular simulation,scientific estimation for which has significant and practical value for the urban water quantity and process simulation,diffuse pollution estimating and the forecast of climate changes.The objective of this research is to get the information of impervious surface and its dynamic change.Through the computer-assisted field method,the technologies of decision tree and data mining were applied to withdraw the impervious surface information in research region by the Landsat TM data in 1988,1994 and 2002.The results suggested that the accuracy of impervious surface information extraction in the study area arrived above 94.4% in 2002 image.On this basis,the mixed method was used to extract the location and the types of the impervious surface change.The overall accuracy of monitoring reached 89%,which meets the demand of the hydrological models. 相似文献
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