2018
DOI: 10.1002/esp.4502
|View full text |Cite
|
Sign up to set email alerts
|

Automated co‐registration and calibration in SfM photogrammetry for landslide change detection

Abstract: Landslides represent hazardous phenomena, often with significant implications. Monitoring landslides with time‐series surface observations can indicate surface failure. Unmanned aerial vehicles (UAVs) employing compact digital cameras, in conjunction with structure‐from‐motion (SfM) and multi‐view stereo (MVS) image processing approaches, have become commonplace in the geoscience research community. These methods offer relatively low‐cost, flexible solutions for many geomorphological monitoring applications. H… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
29
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 38 publications
(31 citation statements)
references
References 53 publications
2
29
0
Order By: Relevance
“…Regarding the orientation process, the values of RMS errors at check points (measured with DGNSS in the field) were always lower than 0.035 m and in most cases lower than 0.02 m in XY and Z, and thus of the same order as the image resolution. This has been described in previous comparable studies [38,40,42,43,46,47,50,52,53] with similar properties (equipment, flight altitude and resolution).…”
Section: Accuracies and Uncertaintiessupporting
confidence: 72%
“…Regarding the orientation process, the values of RMS errors at check points (measured with DGNSS in the field) were always lower than 0.035 m and in most cases lower than 0.02 m in XY and Z, and thus of the same order as the image resolution. This has been described in previous comparable studies [38,40,42,43,46,47,50,52,53] with similar properties (equipment, flight altitude and resolution).…”
Section: Accuracies and Uncertaintiessupporting
confidence: 72%
“…A number of recent studies have focused on eliminating the labour intensive and costly task of physically establishing GCPs, either through innovative methodologies (e.g. Grayson et al (2018); Peppa et al (2018)) and/or through the use of SUA platforms augmented with real time kinematic (RTK) global navigation satellite systems (GNSS) (Carbonneau and Dietrich, 2017;Dall'Asta et al, 2017). Following this trend, in October 2018 DJI launched the Phantom 4 RTK SUA system which provides (a) a direct link with a DJI-manufactured differential RTK-GNSS base station, and (b) the recording of raw GNSS trajectory observations for further post-processing; two components that were not included in any previous Phantom models.…”
Section: Introductionmentioning
confidence: 99%
“…To cope with the aforementioned issues, in the last years, several research groups have developed strategies to optimize the exterior orientation phase. Some authors, like in [44], have focused on overcoming the use of GCPs using co-registration approaches among multi-temporal datasets; other contributions [37,38,45] have focused on the optimization of the number and position of GCPs.…”
Section: Georeferencing Issues In Uavs Photogrammetric Pipelinementioning
confidence: 99%