Landslide Dam Failure Analysis Using Imaging and Ranging Sensors

Tavakoli, Keivan; Zadehali, Ehsan; Malekian, Arsalan; Darsi, Sara; Longoni, Laura; Scaioni, Marco

doi:10.1007/978-3-030-87007-2_1

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…After point cloud coregistration, the comparison can be operated (Tavakoli et al, 2021). Several techniques exist to this purpose, either on the direct basis of the point clouds, and the use of derived models such as meshes (e.g., Triangulated Irregular Networks) or grid raster digital elevation models (DEMs).…”

Section: Coregistration Of Point Clouds Using Icpmentioning

confidence: 99%

“…Due to the presence of several and large changes between different epochs, the analysis has been limited to five stable areas, as in previous publications. Points within five stable windows have been segmented and compared by using M3C2 (Multi-scale Model to Model -see Lague et al, 2013) technique, that was applied to detect changes between point cloud pairs (see also Tavakoli et al, 2021). M3C2 is based on the computation of local normals, which are used to tailor in each location the direction to detect changes.…”

Section: Quality Assessmentmentioning

confidence: 99%

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Techniques for Comparing Multi-Temporal Archive Aerial Imagery for Glacier Monitoring With Poor Ground Control

Scaioni

Malekian

Fugazza

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The measurement of geometric changes in Alpine glaciers is an essential aspect to assess their reaction to climate change effects. Archive aerial images may integrate valuable information to this purpose at times when other types of remotely sensed data are not available. The application of photogrammetric techniques such as Structure-from-Motion (SfM) and Multi-View-Stereo matching allows the extraction of dense point clouds to model the glacier environment. The comparison of multiple datasets requires to setup a stable reference system, a task that in archive photos is generally carried out by means of ground control points (GCPs). This paper would like to propose and assess some techniques to cope with the lack of ground control. Multitemporal SfM (MSfM) is presented and tested on a dataset including six different aerial blocks collected by means of analogue (PAN/RGB) and digital airborne cameras from 1967 to 2006. These images have been downloaded from the IGNF online repository and cover the area of the Val Veny (Brenva and Miage glaciers) in the Mount Blanc massif, at the border between Italy and France. Coupled with other solutions (i.e., extraction of GCPs from maps and DTMs and ICP co-registration of point clouds), MSfM has revealed as a suitable technique for coregistration of multiple photogrammetric blocks of aerial photos with minimum ground control. Some tests carried out in the case study area demonstrated that the integration of MSfM and ICP coregistration for refinement may significantly improve the comparison between multiple point clouds, which is a fundamental pre-requisite for the analysis of glacier changes over time.

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Section: Coregistration Of Point Clouds Using Icpmentioning

confidence: 99%

Section: Quality Assessmentmentioning

confidence: 99%