The automatic registration between high resolution satellite images and a vector map based on RFM

Songbai Zou, Jianqing Zhang, Yong Zhang
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引用次数: 4

Abstract

This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.
基于RFM的高分辨率卫星图像与矢量图的自动配准
本文主要研究了利用RPC实现高分辨率卫星图像与矢量地图的自动配准与精确定位。首先介绍了高分辨率卫星图像的一般RFM模型,然后阐述了这些模型的系统误差补偿方法。通过对SPOT-5影像的实验分析,表明高分辨率卫星影像与矢量图自动配准是可行的,定位精度满足中小比例尺地形图的测量要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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