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Verfasst von:Zahs, Vivien [VerfasserIn]   i
 Winiwarter, Lukas [VerfasserIn]   i
 Anders, Katharina [VerfasserIn]   i
 Williams, Jack G. [VerfasserIn]   i
 Rutzinger, Martin [VerfasserIn]   i
 Höfle, Bernhard [VerfasserIn]   i
Titel:Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification
Verf.angabe:Vivien Zahs, Lukas Winiwarter, Katharina Anders, Jack G. Williams, Martin Rutzinger, Bernhard Höfle
Jahr:2022
Umfang:19 S.
Fussnoten:Available online 14 Dezember 2021 ; Gesehen am 12.05.2022
Titel Quelle:Enthalten in: International Society for Photogrammetry and Remote SensingISPRS journal of photogrammetry and remote sensing
Ort Quelle:Amsterdam [u.a.] : Elsevier, 1989
Jahr Quelle:2022
Band/Heft Quelle:183(2022), Seite 541-559
ISSN Quelle:0924-2716
Abstract:The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the Multiscale Model to Model Cloud Comparison (M3C2) algorithm to consider the associated uncertainty. Change measured with the M3C2 approach, however, is difficult to interpret where (1) change occurs in directions different to the direction of change computation or (2) the quantified magnitudes of change are exceeded by the associated uncertainty due to a rough surface morphology. We present a correspondence-driven plane-based M3C2 approach that is tailored to quantifying small-magnitude (< 0.1 m) 3D topographic change of rough surfaces by reducing the uncertainty of quantified change. The approach (1) extracts planar surfaces in point clouds of successive epochs, (2) identifies corresponding planar surfaces between two point clouds using a binary random forest classification, and (3) calculates M3C2 distances and the associated uncertainty between the corresponding planar surfaces. This correspondence-driven plane-based M3C2 does not require recognition or reconstruction of geometrically complex objects but instead quantifies change between less complex, homologous planar surfaces. The approach further allows to relate change directly to a moving object. We apply our approach to a bi-weekly time series of terrestrial laser scanning point clouds acquired at a rock glacier in the Austrian Alps. The approach enables a sevenfold reduction in the uncertainty associated with topographic change compared to standard M3C2. Significant change is therefore detected in 72.62% to 76.41% of the area of change analysis, whereas standard M3C2 detects significant change in only 16.21% (2-week timespan) to 59.96% (10-week timespan) of the same area. The correspondence-driven plane-based M3C2 complements 3D change analysis in applications that aim to quantify small-magnitude topographic change in photogrammetric or laser scanning point clouds with low uncertainties in natural scenes which are characterised by overall rough surface morphology and by individual rigid objects with planar surfaces (e.g., rock glaciers, landslides, debris covered glaciers).
DOI:doi:10.1016/j.isprsjprs.2021.11.018
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1016/j.isprsjprs.2021.11.018
 Volltext: https://www.sciencedirect.com/science/article/pii/S0924271621003166
 DOI: https://doi.org/10.1016/j.isprsjprs.2021.11.018
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Forschungsdaten: Zahs, Vivien: Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [data and source code]
Sach-SW:Change detection
 Level of detection
 Point clouds
 Rock glacier
 Terrestrial laser scanning
K10plus-PPN:1782205330
Verknüpfungen:→ Zeitschrift

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