Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1

Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1

Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacle...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of remote sensing 2006-04, Vol.27 (8), p.1677-1690
Hauptverfasser: Zhang, Y, Heipke, C, Butenuth, M, Hu, X
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1690
container_issue 8
container_start_page 1677
container_title International journal of remote sensing
container_volume 27
creator Zhang, Y
Heipke, C
Butenuth, M
Hu, X
description Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.
doi_str_mv 10.1080/01431160500406896
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_29702752</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>29702752</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_297027523</originalsourceid><addsrcrecordid>eNqNi7FOw0AQBU8IJEzIB6TbigqTPTs-xyUCQlJQhT5aO5vokO2D27WAv8cg6KmeRm_GmJnFG4tLnKNd5NY6LBAX6JaVOzGJzZ1LiwrtqUm-_3QU7Lm5EHlBRFcWZWLq20FDR-ob4A-N1KgPPYQDvPt-DxyD_HAtSk3LAvUn-F75GOlPfNxsYU9K13C_fQIaK1GOHMB3dBwLe2nODtQKT393Yq5WD8936_Q1hreBRXedl4bblnoOg-yyqsSsLLL83-IXBsBOFw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>29702752</pqid></control><display><type>article</type><title>Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1</title><source>Taylor &amp; Francis:Master (3349 titles)</source><creator>Zhang, Y ; Heipke, C ; Butenuth, M ; Hu, X</creator><creatorcontrib>Zhang, Y ; Heipke, C ; Butenuth, M ; Hu, X</creatorcontrib><description>Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.</description><identifier>ISSN: 0143-1161</identifier><identifier>EISSN: 1366-5901</identifier><identifier>DOI: 10.1080/01431160500406896</identifier><language>eng</language><ispartof>International journal of remote sensing, 2006-04, Vol.27 (8), p.1677-1690</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Zhang, Y</creatorcontrib><creatorcontrib>Heipke, C</creatorcontrib><creatorcontrib>Butenuth, M</creatorcontrib><creatorcontrib>Hu, X</creatorcontrib><title>Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1</title><title>International journal of remote sensing</title><description>Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.</description><issn>0143-1161</issn><issn>1366-5901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqNi7FOw0AQBU8IJEzIB6TbigqTPTs-xyUCQlJQhT5aO5vokO2D27WAv8cg6KmeRm_GmJnFG4tLnKNd5NY6LBAX6JaVOzGJzZ1LiwrtqUm-_3QU7Lm5EHlBRFcWZWLq20FDR-ob4A-N1KgPPYQDvPt-DxyD_HAtSk3LAvUn-F75GOlPfNxsYU9K13C_fQIaK1GOHMB3dBwLe2nODtQKT393Yq5WD8936_Q1hreBRXedl4bblnoOg-yyqsSsLLL83-IXBsBOFw</recordid><startdate>20060401</startdate><enddate>20060401</enddate><creator>Zhang, Y</creator><creator>Heipke, C</creator><creator>Butenuth, M</creator><creator>Hu, X</creator><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20060401</creationdate><title>Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1</title><author>Zhang, Y ; Heipke, C ; Butenuth, M ; Hu, X</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_297027523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Y</creatorcontrib><creatorcontrib>Heipke, C</creatorcontrib><creatorcontrib>Butenuth, M</creatorcontrib><creatorcontrib>Hu, X</creatorcontrib><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Y</au><au>Heipke, C</au><au>Butenuth, M</au><au>Hu, X</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1</atitle><jtitle>International journal of remote sensing</jtitle><date>2006-04-01</date><risdate>2006</risdate><volume>27</volume><issue>8</issue><spage>1677</spage><epage>1690</epage><pages>1677-1690</pages><issn>0143-1161</issn><eissn>1366-5901</eissn><abstract>Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.</abstract><doi>10.1080/01431160500406896</doi></addata></record>
fulltext fulltext
identifier ISSN: 0143-1161
ispartof International journal of remote sensing, 2006-04, Vol.27 (8), p.1677-1690
issn 0143-1161
1366-5901
language eng
recordid cdi_proquest_miscellaneous_29702752
source Taylor & Francis:Master (3349 titles)
title Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images 1
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T19%3A57%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20extraction%20of%20wind%20erosion%20obstacles%20by%20integration%20of%20GIS%20data,%20DSM%20and%20stereo%20images%201&rft.jtitle=International%20journal%20of%20remote%20sensing&rft.au=Zhang,%20Y&rft.date=2006-04-01&rft.volume=27&rft.issue=8&rft.spage=1677&rft.epage=1690&rft.pages=1677-1690&rft.issn=0143-1161&rft.eissn=1366-5901&rft_id=info:doi/10.1080/01431160500406896&rft_dat=%3Cproquest%3E29702752%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=29702752&rft_id=info:pmid/&rfr_iscdi=true