Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783692998> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2783692998 endingPage "638" @default.
- W2783692998 startingPage "628" @default.
- W2783692998 abstract "Terrestrial laser scanner (TLS) and airborne laser scanner (ALS) can effectively capture point clouds from side or top view, respectively. Registering point clouds captured by ALS and TLS provides an integrated data source for three-dimensional (3-D) reconstruction. However, registration is difficult between TLS and ALS data because of the differences in scanning perspectives, scanning area, and spatial resolutions. A new method that can achieve automatic horizontal registration with ALS and TLS data based on building contour features is proposed in this study. The key steps include horizontal and vertical registrations based on 2-D building outlines and ground planes in ALS and TLS data, respectively. First, the 2-D building outlines are extracted from both ALS and TLS data. Second, the horizontal registration is accomplished by using the four-point congruent sets method for initial registration and the global optimization method for refined registration. Finally, the ground surface in the same region of ALS and TLS data are fitted for vertical registration, and the average elevation difference between the corresponding ground planes is calculated as the translation parameter value in the vertical direction. The results indicate that the proposed method can successfully match ALS and TLS data with an accuracy of 0.2-m both in the horizontal and vertical directions." @default.
- W2783692998 created "2018-01-26" @default.
- W2783692998 creator A5025901196 @default.
- W2783692998 creator A5047025029 @default.
- W2783692998 creator A5055238073 @default.
- W2783692998 creator A5079275442 @default.
- W2783692998 date "2018-02-01" @default.
- W2783692998 modified "2023-10-17" @default.
- W2783692998 title "Automatic Registration of Terrestrial and Airborne Point Clouds Using Building Outline Features" @default.
- W2783692998 cites W1901475431 @default.
- W2783692998 cites W1973146673 @default.
- W2783692998 cites W1984632763 @default.
- W2783692998 cites W1988078902 @default.
- W2783692998 cites W1998294886 @default.
- W2783692998 cites W2011884414 @default.
- W2783692998 cites W2019924191 @default.
- W2783692998 cites W2022512855 @default.
- W2783692998 cites W2025312932 @default.
- W2783692998 cites W2037686083 @default.
- W2783692998 cites W2042243332 @default.
- W2783692998 cites W2117801990 @default.
- W2783692998 cites W2123212074 @default.
- W2783692998 cites W2130722170 @default.
- W2783692998 cites W2133396874 @default.
- W2783692998 cites W2148542959 @default.
- W2783692998 cites W2164976328 @default.
- W2783692998 cites W2194206407 @default.
- W2783692998 cites W2470564009 @default.
- W2783692998 cites W4254922985 @default.
- W2783692998 doi "https://doi.org/10.1109/jstars.2017.2788054" @default.
- W2783692998 hasPublicationYear "2018" @default.
- W2783692998 type Work @default.
- W2783692998 sameAs 2783692998 @default.
- W2783692998 citedByCount "29" @default.
- W2783692998 countsByYear W27836929982019 @default.
- W2783692998 countsByYear W27836929982020 @default.
- W2783692998 countsByYear W27836929982021 @default.
- W2783692998 countsByYear W27836929982022 @default.
- W2783692998 countsByYear W27836929982023 @default.
- W2783692998 crossrefType "journal-article" @default.
- W2783692998 hasAuthorship W2783692998A5025901196 @default.
- W2783692998 hasAuthorship W2783692998A5047025029 @default.
- W2783692998 hasAuthorship W2783692998A5055238073 @default.
- W2783692998 hasAuthorship W2783692998A5079275442 @default.
- W2783692998 hasConcept C127313418 @default.
- W2783692998 hasConcept C131979681 @default.
- W2783692998 hasConcept C154945302 @default.
- W2783692998 hasConcept C2524010 @default.
- W2783692998 hasConcept C28719098 @default.
- W2783692998 hasConcept C33923547 @default.
- W2783692998 hasConcept C39432304 @default.
- W2783692998 hasConcept C41008148 @default.
- W2783692998 hasConcept C51399673 @default.
- W2783692998 hasConcept C62649853 @default.
- W2783692998 hasConceptScore W2783692998C127313418 @default.
- W2783692998 hasConceptScore W2783692998C131979681 @default.
- W2783692998 hasConceptScore W2783692998C154945302 @default.
- W2783692998 hasConceptScore W2783692998C2524010 @default.
- W2783692998 hasConceptScore W2783692998C28719098 @default.
- W2783692998 hasConceptScore W2783692998C33923547 @default.
- W2783692998 hasConceptScore W2783692998C39432304 @default.
- W2783692998 hasConceptScore W2783692998C41008148 @default.
- W2783692998 hasConceptScore W2783692998C51399673 @default.
- W2783692998 hasConceptScore W2783692998C62649853 @default.
- W2783692998 hasFunder F4320321001 @default.
- W2783692998 hasIssue "2" @default.
- W2783692998 hasLocation W27836929981 @default.
- W2783692998 hasOpenAccess W2783692998 @default.
- W2783692998 hasPrimaryLocation W27836929981 @default.
- W2783692998 hasRelatedWork W1557295345 @default.
- W2783692998 hasRelatedWork W1988078902 @default.
- W2783692998 hasRelatedWork W2025416172 @default.
- W2783692998 hasRelatedWork W2194160504 @default.
- W2783692998 hasRelatedWork W2335177719 @default.
- W2783692998 hasRelatedWork W3080305507 @default.
- W2783692998 hasRelatedWork W3165704192 @default.
- W2783692998 hasRelatedWork W3212121815 @default.
- W2783692998 hasRelatedWork W3213638071 @default.
- W2783692998 hasRelatedWork W4214721552 @default.
- W2783692998 hasVolume "11" @default.
- W2783692998 isParatext "false" @default.
- W2783692998 isRetracted "false" @default.
- W2783692998 magId "2783692998" @default.
- W2783692998 workType "article" @default.