Change detection of 3D point clouds is addressed in multiple research projects. This paper introduces a concept for change detection in topobathymetric point clouds based on topobathymetric full waveform laser scanner data. Airborne laser data with a green laser not only includes hard targets or volumes, given e.g. by vegetation, but also points from the water surface, underwater inhomogeneity and river ground. Challenge of the intended work is to detect changes in waterbeds, in the water level or calculate the morphodynamic of rivers. The change detection in topobathymetric point clouds requires pre-processing like the coregistration of multi temporal point clouds, segmentation and classification. A concept for the processing chain is proposed. First results of the segmentation by region growing are shown of the test site of the river Mangfall in Bavaria, Germany
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Change detection of 3D point clouds is addressed in multiple research projects. This paper introduces a concept for change detection in topobathymetric point clouds based on topobathymetric full waveform laser scanner data. Airborne laser data with a green laser not only includes hard targets or volumes, given e.g. by vegetation, but also points from the water surface, underwater inhomogeneity and river ground. Challenge of the intended work is to detect changes in waterbeds, in the water level...
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