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检索条件"机构=Geospatial Data Analytics Lab"
23 条 记 录,以下是21-30 订阅
排序:
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
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
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability
arXiv
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arXiv 2022年
作者: Qin, Rongjun Liu, Tao Geospatial Data Analytics Lab The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 2070 Neil Avenue ColumbusOH43210 United States Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Labs 2015 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University Pomerene Hall 1760 Neil Ave ColumbusOH43210 United States College of Forest Resources and Environmental Science Michigan Technological University 1400 Townsend Drive HoughtonMI49931 United States Ecosystem Science Center Michigan Technological University 1400 Townsend Drive HoughtonMI49931 United States
As an important application in remote sensing, landcover classification remains one of the most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly increasing number of Deep Learning (DL) ba... 详细信息
来源: 评论