Displacement updates in dynamic areas
Displacement updates in dynamic areas
批准号:
543428-2019
负责人:
Cheng, Irene
金额:
$8.87万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31
中文摘要
地质位移可由自然或人为事件引起,例如地震、火山爆发和采矿活动。干涉合成孔径雷达(InSAR)技术基于对地表反射回来的微波信号的分析,能够以毫米级精度计算地面位移。过去,研究人员采用计算机视觉、信号处理等传统算法对InSAR进行分析。我们的行业合作伙伴3dgeomatics Inc .的优化算法PtSel优于相关工作。然而,InSAR数据量的迅速增加使处理管道超负荷。不良噪声的增加也影响了位移计算的精度。自2017年7月以来,3vG一直与阿尔伯塔大学(UA)团队合作。我们引入了新颖的深度学习技术,以显着减少所需的数据量,同时保持相似的准确性。本CRD提案的目标是通过概括我们在动态地区的位移更新方面的发现,将知识转化和可操作性。我们的三年研究计划旨在通过减少图像数量(从12到6减少到3到1个月的数据)来保持高准确性。极端天气条件导致地质变化更加频繁。对地面位移的早期预测有助于在灾害发生前做好准备,从而挽救生命。经济和技术影响不仅有利于加拿大,也有利于全球社会,并将加强加拿大在监测地质活动方面的领导地位。
英文摘要
Geological displacements can be caused by natural or man-made events, e.g., earthquakes, volcanic erruptions and mining activities. Interferometric Synthetic Aperture Radar (InSAR) technology, based on the analysis of microwave signals reflected back from the earth surface, is able to compute ground displacements with millimeter precision. In the past, researchers have applied computer vision, signal processing and other traditional algorithms to analyze InSAR. Our industrial partner 3vGeomatics Inc's optimization algorithm PtSel outperforms related work. However, the rapidly increasing volume of InSAR data has overloaded the processing pipeline. The amount of undesirable noise has also increased and affected the accuracy of displacement computation. Since July 2017, 3vG has been working with the University of Alberta (UA) team. We have introduced novel deep learning techniques to significantly reduce the amount of data required, while preserving similar accuracy. The goal of this CRD proposal is knowledge translation and operationalization by generalizing our findings on displacement updates in dynamic areas. Our three-year research plan aims to preserve high accuracy using reduced number of images (reducing from 12 to 6 to 3 to 1 month of data). Extreme weather conditions have caused more frequent occurrences of geological changes. Early prediction of ground displacements can help in preparation before disasters happen and thus save lives. The economic and technological impacts not only benefit Canada, but also the global community, and will strengthen Canada's leadership in the monitoring of geological activities.
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专著(0)
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会议论文
Human Perception & Intelligence in Multimedia Computing
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批准号:RGPIN-2018-04367
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.17万
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财政年份:2022
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负责人:Cheng, Irene
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依托单位:
Human Perception & Intelligence in Multimedia Computing
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批准号:RGPIN-2018-04367
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.17万
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财政年份:2021
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负责人:Cheng, Irene
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依托单位:
Human Perception & Intelligence in Multimedia Computing
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批准号:RGPIN-2018-04367
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.17万
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财政年份:2020
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负责人:Cheng, Irene
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依托单位:
Human Perception & Intelligence in Multimedia Computing
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批准号:DGDND-2018-00020
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项目类别:DND/NSERC Discovery Grant Supplement
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资助金额:$2.91万
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财政年份:2020
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负责人:Cheng, Irene
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依托单位:
Human Perception & Intelligence in Multimedia Computing
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批准号:DGDND-2018-00020
-
项目类别:DND/NSERC Discovery Grant Supplement
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资助金额:$2.91万
-
财政年份:2019
-
负责人:Cheng, Irene
-
依托单位:
Human Perception & Intelligence in Multimedia Computing
-
批准号:RGPIN-2018-04367
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$3.17万
-
财政年份:2019
-
负责人:Cheng, Irene
-
依托单位:
Human Perception & Intelligence in Multimedia Computing
-
批准号:DGDND-2018-00020
-
项目类别:DND/NSERC Discovery Grant Supplement
-
资助金额:$2.91万
-
财政年份:2018
-
负责人:Cheng, Irene
-
依托单位:
Human Perception & Intelligence in Multimedia Computing
-
批准号:RGPIN-2018-04367
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$3.17万
-
财政年份:2018
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负责人:Cheng, Irene
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依托单位:
Perceptually Enhanced Multimedia Data Acquisition, Processing, Transmission and Visualization
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批准号:RGPIN-2015-04232
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.31万
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财政年份:2015
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负责人:Cheng, Irene
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依托单位:
海外基金