Feasibility analysis of using local feature matching for the geo-reference offset estimation of satellite images

doi:10.13474/j.cnki.11-2246.2022.0040

Abstract

Abstract: Geo-reference offset is one of the important parameters for evaluating the quality of satellite images. In this paper, we estimate the geo-reference offset of satellite images using local feature matching, followed by the analysis of its feasibility. Firstly, the subset of satellite images covering typical ground landmarks are selected as the reference database. Following that, the local point features are extracted for searching for the correspondences between satellite image and the reference database at sub-pixel scale. In order to improve the matching accuracy, the constraints of spatial relation and geometric consistency are taken into the consideration. Next, the interpolation of the correspondences between the satellite image and the reference database is performed to obtain the spatial coordinates of the tie-points in the satellite images. Finally, the rotation and offset parameters of the satellite image relative to the reference database are obtained with quantitative analysis of its feasibility. In this paper, we choose Fengyun satellite for the experiments, where the image subsets including coastline, lakes, mountains, rivers and islands landmarks are selected as the reference database. Three local features, in terms of SIFT, SURF and ORB are used for local feature matching. The experimental results show that the RMSE error of estimating the geo-reference offsets is less than 0.1 pixels, which confirms the feasibility of the local feature matching strategy.

Key words: feature matching, geo-offset estimation, consistency constraints, satellite imagery

CLC Number:

P237

U Zepeng, XU Ershuai, WANG Wenliang, XU Zhihua. Feasibility analysis of using local feature matching for the geo-reference offset estimation of satellite images[J]. Bulletin of Surveying and Mapping, 2022, 0(2): 37-42.

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