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Rational function model‐based image matching for digital elevation models
Author(s) -
Sohn HongGyoo,
Park ChoungHwan,
Chang Hoon
Publication year - 2005
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/j.1477-9730.2005.00328.x
Subject(s) - digital elevation model , piecewise , matching (statistics) , elevation (ballistics) , rational function , computer science , image (mathematics) , mean squared error , line (geometry) , function (biology) , object (grammar) , point (geometry) , computer vision , artificial intelligence , mathematics , algorithm , remote sensing , geography , geometry , statistics , mathematical analysis , evolutionary biology , biology
This paper presents an image matching technique for IKONOS satellite imagery based on rational function models (RFMs). This algorithm adopts the object‐space approach and reduces the search space to within the confined line‐shaped area called the piecewise matching line (PML). Also, the detailed procedure of generating 3D surface information using the RFM coefficients (RFCs) is introduced to illustrate an end‐user's point of view. The final digital elevation model (DEM) generated using the proposed scheme shows a mean error of 2·2 m and rmse of 3·8 m compared with that from a 1:5000 scale digital map.