Digital photogrammetry technology based on fixed multi-view cameras has attracted widespread attention in the field of geotechnical engineering due to its low-cost and contactless mode. For the purpose of studying the surface collapse of a landslide monitored with these low-cost cameras, we have developed a photogrammetric algorithm that can quickly detect the collapses, determine the collapse area and calculate the collapse volume. With the field data and small-scale experiments, we have verified the accuracy of the program. The method of quickly and automatically obtaining collapse information proposed in this paper will improve the efficiency of landslide monitoring system based on photos and it is of great significance for further research and the realization of a collapse prediction tool.
AUTOMATIC RECOGNITION AND VOLUME CALCULATION OF LANDSLIDE COLLAPSE AREA BASED ON IMAGE SEQUENCE
Fabio Gabrieli;Lorenzo Brezzi;Davide Vallisari
2021
Abstract
Digital photogrammetry technology based on fixed multi-view cameras has attracted widespread attention in the field of geotechnical engineering due to its low-cost and contactless mode. For the purpose of studying the surface collapse of a landslide monitored with these low-cost cameras, we have developed a photogrammetric algorithm that can quickly detect the collapses, determine the collapse area and calculate the collapse volume. With the field data and small-scale experiments, we have verified the accuracy of the program. The method of quickly and automatically obtaining collapse information proposed in this paper will improve the efficiency of landslide monitoring system based on photos and it is of great significance for further research and the realization of a collapse prediction tool.File | Dimensione | Formato | |
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