Enhanced resolution edge and surface estimation from ladar point clouds containing multiple return data

Kevin D. Neilsen; Scott E. Budge

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Enhanced resolution edge and surface estimation from ladar point clouds containing multiple return data

机译：Enhanced resolution edge and surface estimation from ladar point clouds containing multiple return data

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Signal processing enables the detection of more returns in a digital ladar waveform by computing the surface response. Prior work has shown that obtaining the surface response can improve the range resolution by a factor of 2. However, this advantage presents a problem when forming a range image--each ladar shot crossing an edge contains multiple values. To exploit this information, the location of each return inside the spatial beam footprint is estimated by dividing the footprint into sections that correspond to each return and assigning the coordinates of the return to the centroid of the region. Increased resolution results on the edges of targets where multiple returns occur. Experiments focus on angled and slotted surfaces for both simulated and real data. Results show that the angle of incidence on a 75-deg surface is computed only using a single waveform with an error of 1.4 deg and that the width of a 19-cm-wide by 16-cm-deep slot is estimated with an error of 3.4 cm using real data. Point clouds show that the edges of the slotted surface are sharpened. These results can be used to improve features extracted from objects for applications such as automatic target recognition.

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来源
《Optical Engineering》 |2013年第11期|113103-1-113103-12|共12页
作者
Kevin D. Neilsen; Scott E. Budge;
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作者单位

Utah State University, Center for Advanced Imaging Ladar, Department of Electrical and Computer Engineering, 4120 Old Main Hill, Logan, Utah 84322-4120;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
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Enhanced resolution edge and surface estimation from ladar point clouds containing multiple return data

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