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：2004
卷号：XXXV Part B7
页码：1022-1027
出版社：Copernicus Publications
摘要：With the introduction of the Rational Function sensor Model (RFM) and its adoption as a primary sensor model for a verity of high- resolution sensors, the volume of imagery for which RFM data is made available is on the rise. This emerging trend is posing new opportunities for fast and reliable 2D and 3D mapping and metrology using various high-resolution sensors, while offering users a greater level of usability and interoperability. This paper examines and reviews the scheme for direct 3D information extraction from high resolution satellite imagery based on the RFM, both in single and stereo environments, and will address the issue of the attainable accuracy in each of these methods. Additionally, the methodology of 3D information extraction form high-resolution single and stereo imagery (aerial and satellite) will be presented and discussed. This paper will also examine the application of the RFM based 3D metrology scheme in a photogrammetric software environment and will provide real-world examples to the applications of 3D metrology from high-resolution imagery
