Airborne LIDAR building detection method based on volume element segmentation

Airborne LIDAR building detection method based on volume element segmentation

The invention proposes an airborne LIDAR building detection method based on volume element segmentation, and the method comprises the steps: reading original airborne LIDAR point cloud data, and forming an original airborne LIDAR point cloud data set; regularizing the original airborne LIDAR point c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG XIAO, WANG LIYING, ZHAO YUANDING, ZHANG ZHENGPENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator WANG XIAO
WANG LIYING
ZHAO YUANDING
ZHANG ZHENGPENG
description The invention proposes an airborne LIDAR building detection method based on volume element segmentation, and the method comprises the steps: reading original airborne LIDAR point cloud data, and forming an original airborne LIDAR point cloud data set; regularizing the original airborne LIDAR point cloud data into a gray 3D volume element data set; segmenting the gray 3D volume element data based on connectivity and a radiation characteristic similarity rule, and marking the segmented gray 3D volume element data as a plurality of 3D connected regions; sequentially detecting 3D connected regionsformed by the roof and vertical planes of a building based on the characteristics of the roof and vertical planes of the building, and completing the airborne LIDAR building detection based on the volume element segmentation. The method makes good use of the hidden neighborhood relation of all volume elements in the 3D volume element data and the characteristics of the building, and facilitates the development of the air
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN108074232A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN108074232A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN108074232A3</originalsourceid><addsrcrecordid>eNrjZPB1zCxKyi_KS1Xw8XRxDFJIKs3MScnMS1dISS1JTS7JzM9TyE0tychPUUhKLE5NUQDyy_JzSnNTFVJzUnNT80oUilPTQXQiSC0PA2taYk5xKi-U5mZQdHMNcfbQTS3Ij08tLkhMTs1LLYl39jM0sDAwNzEyNnI0JkYNAJ0JNeI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Airborne LIDAR building detection method based on volume element segmentation</title><source>esp@cenet</source><creator>WANG XIAO ; WANG LIYING ; ZHAO YUANDING ; ZHANG ZHENGPENG</creator><creatorcontrib>WANG XIAO ; WANG LIYING ; ZHAO YUANDING ; ZHANG ZHENGPENG</creatorcontrib><description>The invention proposes an airborne LIDAR building detection method based on volume element segmentation, and the method comprises the steps: reading original airborne LIDAR point cloud data, and forming an original airborne LIDAR point cloud data set; regularizing the original airborne LIDAR point cloud data into a gray 3D volume element data set; segmenting the gray 3D volume element data based on connectivity and a radiation characteristic similarity rule, and marking the segmented gray 3D volume element data as a plurality of 3D connected regions; sequentially detecting 3D connected regionsformed by the roof and vertical planes of a building based on the characteristics of the roof and vertical planes of the building, and completing the airborne LIDAR building detection based on the volume element segmentation. The method makes good use of the hidden neighborhood relation of all volume elements in the 3D volume element data and the characteristics of the building, and facilitates the development of the air</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20180525&amp;DB=EPODOC&amp;CC=CN&amp;NR=108074232A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20180525&amp;DB=EPODOC&amp;CC=CN&amp;NR=108074232A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG XIAO</creatorcontrib><creatorcontrib>WANG LIYING</creatorcontrib><creatorcontrib>ZHAO YUANDING</creatorcontrib><creatorcontrib>ZHANG ZHENGPENG</creatorcontrib><title>Airborne LIDAR building detection method based on volume element segmentation</title><description>The invention proposes an airborne LIDAR building detection method based on volume element segmentation, and the method comprises the steps: reading original airborne LIDAR point cloud data, and forming an original airborne LIDAR point cloud data set; regularizing the original airborne LIDAR point cloud data into a gray 3D volume element data set; segmenting the gray 3D volume element data based on connectivity and a radiation characteristic similarity rule, and marking the segmented gray 3D volume element data as a plurality of 3D connected regions; sequentially detecting 3D connected regionsformed by the roof and vertical planes of a building based on the characteristics of the roof and vertical planes of the building, and completing the airborne LIDAR building detection based on the volume element segmentation. The method makes good use of the hidden neighborhood relation of all volume elements in the 3D volume element data and the characteristics of the building, and facilitates the development of the air</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPB1zCxKyi_KS1Xw8XRxDFJIKs3MScnMS1dISS1JTS7JzM9TyE0tychPUUhKLE5NUQDyy_JzSnNTFVJzUnNT80oUilPTQXQiSC0PA2taYk5xKi-U5mZQdHMNcfbQTS3Ij08tLkhMTs1LLYl39jM0sDAwNzEyNnI0JkYNAJ0JNeI</recordid><startdate>20180525</startdate><enddate>20180525</enddate><creator>WANG XIAO</creator><creator>WANG LIYING</creator><creator>ZHAO YUANDING</creator><creator>ZHANG ZHENGPENG</creator><scope>EVB</scope></search><sort><creationdate>20180525</creationdate><title>Airborne LIDAR building detection method based on volume element segmentation</title><author>WANG XIAO ; WANG LIYING ; ZHAO YUANDING ; ZHANG ZHENGPENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN108074232A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG XIAO</creatorcontrib><creatorcontrib>WANG LIYING</creatorcontrib><creatorcontrib>ZHAO YUANDING</creatorcontrib><creatorcontrib>ZHANG ZHENGPENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG XIAO</au><au>WANG LIYING</au><au>ZHAO YUANDING</au><au>ZHANG ZHENGPENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Airborne LIDAR building detection method based on volume element segmentation</title><date>2018-05-25</date><risdate>2018</risdate><abstract>The invention proposes an airborne LIDAR building detection method based on volume element segmentation, and the method comprises the steps: reading original airborne LIDAR point cloud data, and forming an original airborne LIDAR point cloud data set; regularizing the original airborne LIDAR point cloud data into a gray 3D volume element data set; segmenting the gray 3D volume element data based on connectivity and a radiation characteristic similarity rule, and marking the segmented gray 3D volume element data as a plurality of 3D connected regions; sequentially detecting 3D connected regionsformed by the roof and vertical planes of a building based on the characteristics of the roof and vertical planes of the building, and completing the airborne LIDAR building detection based on the volume element segmentation. The method makes good use of the hidden neighborhood relation of all volume elements in the 3D volume element data and the characteristics of the building, and facilitates the development of the air</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN108074232A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Airborne LIDAR building detection method based on volume element segmentation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T09%3A34%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=WANG%20XIAO&rft.date=2018-05-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN108074232A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true