Abstract
Nowadays, data fusion is one of the trends in geomatics sciences, due to the necessity of merging data from different kind of sensors and periods of time. Also, to extrract the maximum information from data and useful multitemporal analysis, an exact geoconnection of all datasets in a common and stable reference system is essential. The results of the application of a methodology for an integrated orientation into a common reference system using data obtained by LiDAR systems, digital and historical photogrammetric flights dataset, used for proper analysis in multitemporal studies, are presented in this paper. In order to analyse the results of the presented methodology, several photogrammetric datasets have been used. This data corresponds with digital and analogic data. The most current flight (2010) combines data obtained with digital photogrammetric camera and LiDAR sensor which will be used as reference model for all subsequent photogrammetry flights. The philosophy of the methodology consists of orientating all photogrammetric flights to the DEM obtained by LiDAR data. All the models obtained from every photogrammetric block are comparable in terms of the geometric resolution of each one. For that reason, altimetric stable points are extracted automatically from the LiDAR points cloud to use these points such as altimetric control point in the different flights that must be oriented. Using LiDAR control points, we demonstrate the improvement in the results between initial orientation and final results. Also it is possible to improve the planimetric correspondence between different photogrammetric blocks using only altimetric control points iteratively.
Highlights
Geomatics techniques are important tools in the multitemporal analysis applied to environmental, urban and general territorial issues
The objective of the proposed methodology is the orientation of photogrammetric flights from a LiDAR point cloud extracting altimetric control point automatically and incorporating these points in the aerotriangulation adjustment
The work has shown the compatibility to use altimetry control points extracted from LiDAR point cloud in the process of absolute photogrammetric orientation
Summary
Geomatics techniques are important tools in the multitemporal analysis applied to environmental, urban and general territorial issues. These kinds of techniques allow us modelling regions in order to study accurately the deformation monitoring or dynamics of unstable areas analyses. Despite of the growing open available data and the diverse acquisition systems, the combination between data from different origins is a challenge nowadays. Some factors such as cover, data quality, reference systems, update rate or characteristics of capture systems, are factors which must be considered to get a correct data fusion
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