Optimized views photogrammetry and its precision analysis

UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrai...
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Autor*in:	LI Qingquan [verfasserIn] HUANG Hui [verfasserIn] JIANG San [verfasserIn] HU Qingwu [verfasserIn] YU Wenshuai [verfasserIn]

Format:	E-Artikel
Sprache:	Chinesisch

Erschienen:	2022

Schlagwörter:	optimized views photogrammetry uav oblique photogrammetry real 3d scene reconstructability constraint path planning

Übergeordnetes Werk:	In: Acta Geodaetica et Cartographica Sinica - Surveying and Mapping Press, 2014, 51(2022), 6, Seite 996-1007
Übergeordnetes Werk:	volume:51 ; year:2022 ; number:6 ; pages:996-1007

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.11947/j.AGCS.2022.20210685

Katalog-ID:	DOAJ020255403

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520			\|a UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrained view optimization and achieves the purpose of precious 3D model reconstruction from the least number of images. First, this study presents the principle of optimized views photogrammetry. Second, data acquisition campaigns of real scenes are conducted with the aid of optimized views photogrammetry. Combining laser scanned point clouds, the assessment of 3D reconstruction precision and mesh model quality is performed. Experimental results verifies that for the building facades that are hardly observed from oblique photogrammetry views, the mesh model quality is improved dramatically with the increase ratio of 3 to 5 times. In addition, compared with traditional oblique photogrammetry, optimized views photogrammetry can establish stable image connection network and achieve competitive precision in absolute bundle adjustment.
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language	Chinese
source	In Acta Geodaetica et Cartographica Sinica 51(2022), 6, Seite 996-1007 volume:51 year:2022 number:6 pages:996-1007
sourceStr	In Acta Geodaetica et Cartographica Sinica 51(2022), 6, Seite 996-1007 volume:51 year:2022 number:6 pages:996-1007
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	optimized views photogrammetry uav oblique photogrammetry real 3d scene reconstructability constraint path planning Mathematical geography. Cartography
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container_title	Acta Geodaetica et Cartographica Sinica
authorswithroles_txt_mv	LI Qingquan @@aut@@ HUANG Hui @@aut@@ JIANG San @@aut@@ HU Qingwu @@aut@@ YU Wenshuai @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	LI Qingquan
spellingShingle	LI Qingquan misc GA1-1776 misc optimized views photogrammetry misc uav oblique photogrammetry misc real 3d scene misc reconstructability constraint misc path planning misc Mathematical geography. Cartography Optimized views photogrammetry and its precision analysis
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topic_title	GA1-1776 Optimized views photogrammetry and its precision analysis optimized views photogrammetry uav oblique photogrammetry real 3d scene reconstructability constraint path planning
topic	misc GA1-1776 misc optimized views photogrammetry misc uav oblique photogrammetry misc real 3d scene misc reconstructability constraint misc path planning misc Mathematical geography. Cartography
topic_unstemmed	misc GA1-1776 misc optimized views photogrammetry misc uav oblique photogrammetry misc real 3d scene misc reconstructability constraint misc path planning misc Mathematical geography. Cartography
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title	Optimized views photogrammetry and its precision analysis
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title_full	Optimized views photogrammetry and its precision analysis
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title_sort	optimized views photogrammetry and its precision analysis
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title_auth	Optimized views photogrammetry and its precision analysis
abstract	UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrained view optimization and achieves the purpose of precious 3D model reconstruction from the least number of images. First, this study presents the principle of optimized views photogrammetry. Second, data acquisition campaigns of real scenes are conducted with the aid of optimized views photogrammetry. Combining laser scanned point clouds, the assessment of 3D reconstruction precision and mesh model quality is performed. Experimental results verifies that for the building facades that are hardly observed from oblique photogrammetry views, the mesh model quality is improved dramatically with the increase ratio of 3 to 5 times. In addition, compared with traditional oblique photogrammetry, optimized views photogrammetry can establish stable image connection network and achieve competitive precision in absolute bundle adjustment.
abstractGer	UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrained view optimization and achieves the purpose of precious 3D model reconstruction from the least number of images. First, this study presents the principle of optimized views photogrammetry. Second, data acquisition campaigns of real scenes are conducted with the aid of optimized views photogrammetry. Combining laser scanned point clouds, the assessment of 3D reconstruction precision and mesh model quality is performed. Experimental results verifies that for the building facades that are hardly observed from oblique photogrammetry views, the mesh model quality is improved dramatically with the increase ratio of 3 to 5 times. In addition, compared with traditional oblique photogrammetry, optimized views photogrammetry can establish stable image connection network and achieve competitive precision in absolute bundle adjustment.
abstract_unstemmed	UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrained view optimization and achieves the purpose of precious 3D model reconstruction from the least number of images. First, this study presents the principle of optimized views photogrammetry. Second, data acquisition campaigns of real scenes are conducted with the aid of optimized views photogrammetry. Combining laser scanned point clouds, the assessment of 3D reconstruction precision and mesh model quality is performed. Experimental results verifies that for the building facades that are hardly observed from oblique photogrammetry views, the mesh model quality is improved dramatically with the increase ratio of 3 to 5 times. In addition, compared with traditional oblique photogrammetry, optimized views photogrammetry can establish stable image connection network and achieve competitive precision in absolute bundle adjustment.
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title_short	Optimized views photogrammetry and its precision analysis
url	https://doi.org/10.11947/j.AGCS.2022.20210685 https://doaj.org/article/da45a8a82ecf4ef989a1c47e456211bc http://xb.sinomaps.com/article/2022/1001-1595/20220618.htm https://doaj.org/toc/1001-1595
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