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Accuracy Assessment of Digital Elevation Models Generated Using the Erdas Imagine Orthomax Digital Photogrammetric System
Author(s) -
Gooch M. J.,
Chandler J. H.,
Stojic M.
Publication year - 1999
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/0031-868x.00140
Subject(s) - photogrammetry , computer science , set (abstract data type) , digital elevation model , process (computing) , matching (statistics) , software , elevation (ballistics) , artificial intelligence , data set , range (aeronautics) , computer vision , data mining , remote sensing , geography , mathematics , engineering , statistics , aerospace engineering , programming language , operating system , geometry
The users of many digital photogrammetric systems are allowed a degree of control over the automated digital elevation model (DEM) generation software with a set of strategy parameters. These parameters control the search and quality control characteristics of the algorithm; hence the wrong choice of parameters can have a significant detrimental effect on the accuracy of the DEM. This paper describes the strategy parameters used in the Erdas Imagine OrthoMAX digital photogrammetric system and a set of tests used to define the optimum set of parameters for a project. The algorithm employs an area correlator and a hierarchical approach in the matching process. The results show that a 35 per cent increase in accuracy can be achieved through the process of parameter optimization. They also demonstrate that changes to the strategy parameters have a similar effect on the results for all areas of a set of imagery used in the test, which is of particular note because the imagery contains a diverse range of landcover types. The paper additionally provides a description of a system currently being developed which will automatically prescribe the correct set of parameters for a project.