Image Relaxation Matching Based on Feature Points for DSM Generation

作     者：ZHENGShunyi ZHANGZuxun ZHANGJianqing 

作者机构：SchoolofRemoteSensingandInformationEngineering129LuoyuRoadWuhanUniversityWuhan430079China. 不详 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2004年第7卷第4期

页      面：243-248页

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 

基　　金：FundedbytheOpenResearchFundProgramoftheGeomaticsandApplicationsLaboratory LiaoningTechnicalUniversity (No.2 0 0 4 0 1 0 ) 

主　　题：image matching probability relaxation feature point digital surface model 

摘      要：In photogrammetry and remote sensing, image matching is a basic and crucial process for automatic DEM generation. In this paper we presented a image relaxation matching method based on feature points. This method can be considered as an extention of regular grid point based matching. It avoids the shortcome of grid point based matching. For example, with this method, we can avoid low or even no texture area where errors frequently appear in cross correlaton matching. In the mean while, it makes full use of some mature techniques such as probability relaxation, image pyramid and the like which have already been successfully used in grid point matching process. Application of the technique to DEM generaton in different regions proved that it is more reasonable and reliable.