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高分辨率影像定位的一种新方法
引用本文:林宗坚, 宣文玲, 王艳. 高分辨率影像定位的一种新方法[J]. 武汉大学学报 ( 信息科学版), 2004, 29(4): 363-366.
作者姓名:林宗坚  宣文玲  王艳
作者单位:1 中国测绘科学研究院, 北京市北太平路16号, 100039;;2 武汉大学遥感信息工程学院, 武汉市珞喻路129号, 430079;;3 武汉大学测绘遥感信息工程国家重点实验室, 武汉市珞喻路129号, 430079
摘    要:提出了利用小比例尺地形图和多分辨率影像实现高分辨率遥感影像定位的方法。阐述了利用线状地物代替点状地物实现低分辨率影像相对于小比例尺地形图纠正定位的方法,并通过金字塔结构的多分辨率影像逐级匹配,使高分辨率影像上的细致目标得以绝对定位。

关 键 词:地面控制点  高空间分辨率  影像金字塔  图形图像匹配  最小二乘匹配
文章编号:1671-8860(2004)04-0363-04
收稿时间:2004-03-01
修稿时间:2004-03-01

A Novel Method for High Resolution Image Positioning
LIN Zongjian, XUAN Wenling, WANG Yan. A Novel Method for High Resolution Image Positioning[J]. Geomatics and Information Science of Wuhan University, 2004, 29(4): 363-366.
Authors:LIN Zongjian XUAN Wenling WANG Yan
Affiliation:1 Chinese Academy of Surveying and Mapping, 16 Beitaiping Road, Beijing 100039, China;;2 School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;;3 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Abstract:A novel technical way to solve the problem of high resolution images positioning is proposed. The novel method utilizes only available small-scale topographic map and multi-resolution images without Ground Control Points or large scale topographic map or GPS and IMU data. The first step is to perform rectification and positioning of lowest resolution image by small-scale topographic map, wherein the matching of corresponding linear objects is explained and the algorithm is developed. Then, the image pyramid is to perform image matching layer by layer by Least Square Matching Method until the highest resolution image at the image pyramid top is rectified and positioned. Differential rectification is also discussed to reach the conclusion that DEM come from small-scale topographic map meets the requirement of planar positioning of high spatial resolution images.
Keywords:ground control point  high spatial resolution  image pyramid  graphic-image matching  least square matching
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