%0 Journal Article
%T Highly accurate geometric correction of satellite images of moun-tain areas<br>地性线的山地区域的卫星影像几何精纠正
%A DING Kun
%A LONG Xiaomin
%A WANG Yanxia
%A ZHOU Ruliang
%A <br>丁琨
%A 龙晓敏
%A 王艳霞
%A 周汝良
%J 遥感学报
%D 2010
%I 
%X Highly accurate geometric correction is fundamental to the application of satellite images. In highly accurate geometric correction of remote sensing images for precise match to the base maps, the difficulties in capturing ground control points (GCPs), insufficient number of GCPs and low accuracy of the geo-referenced images remain to be frequent issues. In search for solutions to these issues, this paper proposes a new method for the geometric correction of satellite images for the mountain ar-eas based on the terrain feature lines extracted from the Digital Elevation Model (DEM). This method uses DEM as the base maps without any geometric distortion for the geometric correction of satellite images. This paper presents the theories and method to extract terrain feature lines, such as gorges, mountain ridges, peaks and concaves and describes the procedures for the geometric correction for satellite images of mountain areas based on the terrain feature lines. It further discusses the problems in extracting terrain feature lines and capturing of GCPs, as well as the solutions to these issues. The outcome from the experiments shows the number of terrain feature lines of mountains areas are a great many times of those in the conventional map layers of hydrological systems and road networks, and that terrain feature lines extracted from DEM present high stability and reliability and can be applied in the highly accurate geometric correction for satellite images of mountain areas. The results of statistical test show the average geometric error is reduced to the size of one pixel when this method is used in geometric correction.
%K terrain feature lines
%K satellite image
%K highly accurate geometric correction<br>地性线
%K 卫星影像
%K 几何精纠正
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=C66D72CAFB9825477C876DB0F40A2013&yid=140ECF96957D60B2&vid=F3583C8E78166B9E&iid=0B39A22176CE99FB&sid=B4E8EA49DAAEB84F&eid=EBD6B792C9111B87&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=10