Title | ||
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A New Two-Step Robust Surface Matching Approach for Three-Dimensional Georeferencing of Historical Digital Elevation Models. |
Abstract | ||
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In this letter, a new approach based on a two-step (coarse and fine) automatic surface matching for registering two overlapping multidate digital elevation models (DEMs) is proposed to avoid the costly and time-consuming ground-control-point acquisition. The proposed methodology was tested to georeference a historical grid DEM obtained from a photogrammetric flight taken in 1977 and located at a heavily developed coastal area of Almeria (southeast Spain). The reference DEM consisted of a newer DEM produced by the Andalusia Regional Government from a photogrammetric flight taken in 2001. The results obtained from this work may be deemed as very promising, showing high efficiency and accuracy for historical-DEM georeferencing. The vertical accuracy of the finally coregistered DEM was computed over a recent LiDAR-derived DEM (validation data set) which presented relatively unaltered areas, yielding a standard deviation that is fairly similar to the estimated uncertainty of the reference DEM. |
Year | DOI | Venue |
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2012 | 10.1109/LGRS.2011.2175899 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
digital elevation models,geophysical image processing,image matching,image registration,optical radar,photogrammetry,radar imaging,terrain mapping,Andalusia Regional Government,LiDAR-derived DEM,historical digital elevation model,historical grid-DEM georeferencing,photogrammetric flight,reference DEM,three-dimensional georeferencing,time-consuming ground control-point acquisition,two overlapping multidate digital elevation models,two-step robust automatic surface matching approach,uncertainty estimation,validation data set,Automatic digital elevation model (DEM) coregistration,change detection,surface matching,terrain mapping | Computer vision,Photogrammetry,Radar imaging,Change detection,Remote sensing,Feature extraction,Digital elevation model,Robustness (computer science),Artificial intelligence,Standard deviation,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 4 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
F. J. Aguilar | 1 | 83 | 10.62 |
Manuel A. Aguilar | 2 | 31 | 5.01 |
Ismael Fernandez | 3 | 11 | 1.25 |
João G. Negreiros | 4 | 1 | 0.35 |
Jorge Delgado | 5 | 2 | 1.04 |
José L. Pérez | 6 | 1 | 0.35 |