文章基本信息

标题：Object Information Automatic Extraction from High Resolution Stereo Pairs by Dense Image Matching and Information Fusion
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作者：Fang Yong ; Hu Haiyan ; Chen Hong 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：1365-1370
出版社：Copernicus Publications
摘要：With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effective combined approach for digital surface reconstruction and thematic information extraction automatically. Digital surface reconstruction from stereo pairs is realized by multi-level feature matching, which use constraints based on the conditions of the point feature, edge feature, area feature, grey feature and epipolar line etc from low to high level. Then the highly reliable and accurate corresponding point pairs is obtained, and edge matching controlled with TIN constructed from initial points extends the number of requests to meet. Finally the stereo model is reconstruction accurately based on the aerial triangulation by iterative reconstruction technique. The dense image matching is used for Digital Surface Model (DSM) extraction, in which the adaptive match window is used to compensate for the blurring effect that occurs at object boundaries in high-resolution images. These adaptive techniques separate fore- from background information in a correlation window using image classification result for multispectral images. DSM refines the initial classification result, and the special layers for buildings and vegetation are generated
关键词：Digital Surface Model; High Resolution; Stereo Image Pairs; Feature Matching; 3D Reconstruction; Image ; Classification; Object Information Extraction