Monitoring of Sakurajima Volcano, Japan, with Sar Data: From Small Displacement Measurements to Modeling and Forecast

Tessari, Giulia; Beccaro, Lisa; Ippoliti, Simone; Riccardi, Paolo; Floris, Mario; Marzoli, Andréa; Ogushi, Fumitaka; Pasquali, Paolo

doi:10.1109/igarss.2018.8517799

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Aging and degradation of civil and industrial infrastructures has posed a notable public safety threat. 1,2 In civil infrastructures, a major type of concrete damage is concrete crack, which is caused by a range of complex reasons, 3,4 and is an important factor in impairing structural safety. 5 As the structure becomes more complicated, the research on the advanced solutions to the crack inspection and detection has attracted significant attention.…”

Section: Introductionmentioning

confidence: 99%

Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method

Lei

Ren

Wang

et al. 2020

Structural Health Monitoring

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With the explosive development of the computer vision technology, more and more vision-based inspection methods enabled by unmanned aerial vehicle technologies have been researched on the crack inspection of the sundry concrete structures. However, because of the limitation of the low-cost unmanned aerial vehicle hardware, whose cost is around US$500, most of the vision-based methods are difficult to be implemented on the low-cost unmanned aerial vehicle for real-time crack inspection. To address this challenge, in this article, a new computationally efficient vision-based crack inspection method is designed and successfully implemented on a low-cost unmanned aerial vehicle. Furthermore, to reduce the acquired data samples, a new algorithm entitled crack central point method is designed to extract the effective information from the pre-processed images. The proposed vision-based crack detection method includes the following three major components: (1) the image pre-processing algorithm, (2) crack central point method, and (3) the support vector machine model–based classifier. To demonstrate the effectiveness of the new inspection method, a concrete structure inspection experiment is implemented. The experimental results indicate that this new method is able to accurately and rapidly inspect the cracks of concrete structure in real time. This new vision-based crack inspection method shows great promise for the practical application.

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Section: Introductionmentioning

confidence: 99%

Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method

Lei

Ren

Wang

et al. 2020

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…Due to the numerous advantages of DInSAR techniques and the growing availability of synthetic aperture radar (SAR) satellite data, amplitude and phase information from SAR images have also been used by applying different techniques in order to investigate many topics of geosciences, including geology [23,24]. Most of the geological applications are related to earthquakes [25][26][27], volcanic eruptions [28][29][30], tectonics [31][32][33][34], and landslides [35][36][37][38], while few research has been focused on the potential of multi-temporal DInSAR as a tool for geological and geomorphological mapping [39]. This represents the main aim of our research.…”

Section: Introductionmentioning

confidence: 99%

Subsidence Zonation Through Satellite Interferometry in Coastal Plain Environments of NE Italy: A Possible Tool for Geological and Geomorphological Mapping in Urban Areas

et al. 2019

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The main aim of this paper is to test the use of multi-temporal differential interferometric synthetic aperture radar (DInSAR) techniques as a tool for geological and geomorphological surveys in urban areas, where anthropogenic features often completely obliterate landforms and surficial deposits. In the last two decades, multi-temporal DInSAR techniques have been extensively applied to many topics of Geosciences, especially in geohazard analysis and risks assessment, but few attempts have been made in using differential subsidence for geological and geomorphological mapping. With this aim, interferometric data of an urbanized sector of the Venetian-Friulian Plain were considered. The data derive by permanent scatterers InSAR processing of synthetic aperture radar (SAR) images acquired by ERS 1/2, ENVISAT, COSMO SKY-Med and Sentinel-1 missions from 1992 to 2017. The obtained velocity maps identify, with high accuracy, the border of a fluvial incised valley formed after the last glacial maximum (LGM) and filled by unconsolidated Holocene deposits. These consist of lagoon and fluvial sediments that are affected by a much higher subsidence than the surrounding LGM deposits forming the external plain. Displacement time-series of localized sectors inside the post-LGM incision allowed the causes of vertical movements to be explored, which consist of the consolidation of recent deposits, due to the loading of new structures and infrastructures, and the exploitation of the shallow phreatic aquifer.

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Monitoring of Sakurajima Volcano, Japan, with Sar Data: From Small Displacement Measurements to Modeling and Forecast

Cited by 2 publications

References 8 publications

Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method

Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method

Subsidence Zonation Through Satellite Interferometry in Coastal Plain Environments of NE Italy: A Possible Tool for Geological and Geomorphological Mapping in Urban Areas

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