Title
A New Two-Step Robust Surface Matching Approach for Three-Dimensional Georeferencing of Historical Digital Elevation Models.
Abstract
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
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. Aguilar18310.62
Manuel A. Aguilar2315.01
Ismael Fernandez3111.25
João G. Negreiros410.35
Jorge Delgado521.04
José L. Pérez610.35