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检索条件"机构=Geospatial Data Analytics Lab"
23 条 记 录,以下是11-20 订阅
排序:
INVESTIGATING SPHERICAL EPIPOLAR RECTIFICATION FOR MULTI-VIEW STEREO 3D RECONSTRUCTION
arXiv
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arXiv 2022年
作者: Elhashash, Mostafa Qin, Rongjun Geospatial Data Analytics Lab The Ohio State University Columbus United States Department of Civil Environmental and Geodetic Engineering The Ohio State University Columbus United States Department of Electrical and Computer Engineering The Ohio State University Columbus United States Translational Data Analytics Institute The Ohio State University Columbus United States
Multi-view stereo (MVS) reconstruction is essential for creating 3D models. The approach involves applying epipolar rectification followed by dense matching for disparity estimation. However, existing approaches face ... 详细信息
来源: 评论
CONSTRAINED BUNDLE ADJUSTMENT FOR STRUCTURE FROM MOTION USING UNCALIBRATED MULTI-CAMERA SYSTEMS
arXiv
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arXiv 2022年
作者: Huang, Debao Elhashash, Mostafa Qin, Rongjun Geospatial Data Analytics Lab The Ohio State University Columbus United States Department of Civil Environmental and Geodetic Engineering The Ohio State University Columbus United States Department of Electrical and Computer Engineering The Ohio State University Columbus United States Translational Data Analytics Institute The Ohio State University Columbus United States
Structure from motion using uncalibrated multi-camera systems is a challenging task. This paper proposes a bundle adjustment solution that implements a baseline constraint respecting that these cameras are static to e... 详细信息
来源: 评论
Image Fusion in Remote Sensing: An Overview and Meta-Analysis
SSRN
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SSRN 2024年
作者: Albanwan, Hessah Qin, Rongjun Tang, Yang Geospatial Data Analytics Laboratory The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Lab 2036 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University United States
Image fusion in Remote Sensing (RS) has been a consistent demand due to its ability to turn raw images of different resolutions, sources, and modalities into accurate, complete, and spatio-temporally coherent images. ... 详细信息
来源: 评论
Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions
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Mapping Sciences and Remote Sensing 2025年 第1期62卷
作者: Shengxi Gui Rongjun Qin a Geospatial Data Analytics Lab The Ohio State University Columbus OH USAb Department of Civil Environmental and Geodetic Engineering The Ohio State University Columbus OH USA a Geospatial Data Analytics Lab The Ohio State University Columbus OH USAb Department of Civil Environmental and Geodetic Engineering The Ohio State University Columbus OH USAc Department of Electrical and Computer Engineering The Ohio State University Columbus OH USAd Translational Data Analytics Institute The Ohio State University Columbus OH USA
ABSTRACTAssessing glacier surface height changes provides crucial insights into glacier mass loss and the impact of climate variability. Remote sensing images play a vital role in providing data points for monitoring.... 详细信息
来源: 评论
Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
arXiv
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arXiv 2021年
作者: Gui, Shengxi Qin, Rongjun Geospatial Data Analytics Lab Ohio State University Columbus United States Department of Civil Environmental and Geodetic Engineering Ohio State University Columbus United States Department of Electrical and Computer Engineering Ohio State University Columbus United States Translational Data Analytics Institute Ohio State University Columbus United States
Digital surface models (DSM) generated from multi-stereo satellite images are getting higher in quality owing to the improved data resolution and photogrammetric reconstruction algorithms. Very-high-resolution (VHR, w... 详细信息
来源: 评论
Large-scale and Efficient Texture Mapping Algorithm via Loopy Belief Propagation
arXiv
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arXiv 2023年
作者: Ling, Xiao Qin, Rongjun Geospatial Data Analytics Laboratory The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States College of Astronautics Nanjing University Of Aeronautics And Astronautics 29 Jiangjun Avenue Jiangning District Jiangsu Nanjing211106 China Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Lab 2036 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University United States
Texture mapping as a fundamental task in 3D modeling has been well established for well-acquired aerial assets under consistent illumination, yet it remains a challenge when it is scaled to large datasets with images ... 详细信息
来源: 评论
Spatio-Temporal Stratified Associations between Urban Human Activities and Crime Patterns: A Case Study in San Francisco Around the Covid-19 Stay-at-Home Mandate
SSRN
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SSRN 2022年
作者: Chen, Tongxin Bowers, Kate Zhu, Di Gao, Xiaowei Cheng, Tao Space Time Lab for Big Data Analytics Department of Civil Environmental and Geomatic Engineering University College London LondonWC1E 6BT United Kingdom Department of Security and Crime Science University College London LondonWC1H 9EZ United Kingdom Geospatial Data Intelligence Lab Department of Geography Environment and Society University of Minnesota Twin Cities Minneapolis55455 United States
Crime changes have been reported as a result of human routine activity shifting due to containment policies, such as stay-at-home (SAH) mandates during the COVID-19 pandemic. However, the way in which the manifestatio... 详细信息
来源: 评论
A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds
arXiv
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arXiv 2022年
作者: Ling, Xiao Qin, Rongjun Geospatial Data Analytics Laboratory The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Lab 2036 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University United States
Wide-area 3D data generation for complex urban environments often needs to leverage a mixed use of data collected from both air and ground platforms, such as from aerial surveys, satellite, and mobile vehicles, etc. O... 详细信息
来源: 评论
A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images
arXiv
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arXiv 2022年
作者: Albanwan, Hessah Qin, Rongjun Geospatial Data Analytics Laboratory The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Lab 2036 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University United States
Deep learning (DL) stereo matching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based only on a few/single stereo images lacking a s... 详细信息
来源: 评论
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse
arXiv
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arXiv 2021年
作者: Xu, Ningli Huang, Debao Song, Shuang Ling, Xiao Strasbaugh, Chris Yilmaz, Alper Sezen, Halil Qin, Rongjun Geospatial Data Analytics Lab The Ohio State University Columbus United States Photogrammetric Computer Vision Lab The Ohio State University Columbus United States Department of Civil Environmental and Geodetic Engineering The Ohio State University Columbus United States Department of Electrical and Computer Engineering The Ohio State University Columbus United States Translational Data Analytics Institute The Ohio State University Columbus United States Engineering Technology Services The Ohio State University Columbus United States
In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a building during a demolition event. Mu... 详细信息
来源: 评论