Digital Surface Model Generation for High Resolution Satellite Stereo Image Based on Modified Semi-global Matching

Acta Geodaetica et Cartographica Sinica

L&220¹  JIANG Shan¹  Jingguo²  YANG Xingbin²  ZHANG Danlu² 

[1] ;School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;

关键词: high resolution satellite imagery;    rational function model;    projection trajectory;    semi-global matching;    digital surface model;   

DOI  :  10.11947/j.AGCS.2018.20180091

来源: DOAJ

【 摘 要 】

A method is proposed for generating digital surface model (DSM) of high resolution satellite imagery (HRSI) based on modified semi-global matching (SGM) algorithm.Firstly,the system error of the rational function model is compensated by using the geometric constraint relation between the image connection points.Based on the compensation model,the image is divided into blocks.The projection trajectory method is used to obtain the image pairs of the images.In the dense matching stage,the disparity map is computed using semi-global matching by layer after building the pyramids images,and an expansion corrosion algorithm for disparity graphs,which takes into account the image texture information,is introduced to constrain the range of parallax search,increase the number of effective pixels at the edge of the parallax map and reduce the memory overhead and computation time required for the algorithm.In the post processing stage of disparity image,the edge information of disparity image is protected by weighted median filtering algorithm.Finally,the DSM is acquired based on the forward intersection.The stereo images of World View 3 and ZY-3 to experiment are selected.The experimental results show that the DSM accuracy obtained by this method is nearly 1.5 times higher than that of GSD in elevation direction,and the edge characteristics of the object are maintained well.The algorithm is computationally efficient and has relatively low memory overhead.

【 授权许可】

Unknown