基于形状特征的矢量数据与影像数据配准方法研究

本文提出将矢量空间数据与影像数据间配准转换到矢量空间数据间匹配的思路，并开展了相关研究。本文主要思路是通过对影像数据进行基于形状特征的提取及矢量化，然后利用矢量空间数据间匹配方法对矢量化后数据和现有矢量空间数据进行匹配，获取匹配实体对；在获取的匹配实体对中选取控制点对，在矢量化后数据中选取控制点，将所选取的控制点反馈到原始遥感影像上进而获得控制点相应的像元坐标；最后应用矢量化后数据中控制点的像元坐标数据和现有矢量空间数据中对应的同名点坐标数据对原始影像进行几何纠正，从而实现矢量空间数据和影像数据的配准。

Research on Registration Method between Vector Data and Image Data Based on Shape Feature

We proposed the idea of transforming the registration of vector spatial data and raster images to vector spatial data matching and carried out related research. The main idea of this paper: first,feature extraction based on shape feature of remote sensing images and vectorization, and then to match vectorization data and existing vector spatial data using vector spatial data matching method; then to choose some ground control points in the matching entities, and then get the corresponding pixel coordinates of the ground control points by the ground control points of the vectorization data is fed back to the original remote sensing image; final, to geometric correction of the original image using the ground control points coordinates of the existing vector spatial data and the corresponding pixel coordinates of the original image, in order to achieve the registration purpose of the vector spatial data and raster data.