{"id":"https://openalex.org/W2140839681","doi":"https://doi.org/10.1109/igarss.2008.4779810","title":"Comparison of Two Approaches on Terrain Change Detection and Updating","display_name":"Comparison of Two Approaches on Terrain Change Detection and Updating","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2140839681","doi":"https://doi.org/10.1109/igarss.2008.4779810","mag":"2140839681"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xia Song","orcid":null},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Song","raw_affiliation_strings":["Information School, Zhongnan University of Economics and Law, ZNUEL, Wuhan, China","Inf. Sch., Zhongnan Univ. of Econ. & Law, Wuhan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School, Zhongnan University of Economics and Law, ZNUEL, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]},{"raw_affiliation_string":"Inf. Sch., Zhongnan Univ. of Econ. & Law, Wuhan","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004436823","display_name":"Huanzhuo Ye","orcid":"https://orcid.org/0000-0002-7294-6044"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye HuanZhuo","raw_affiliation_strings":["Information School, Zhongnan University of Economics and Law, ZNUEL, Wuhan, China","Inf. Sch., Zhongnan Univ. of Econ. & Law, Wuhan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School, Zhongnan University of Economics and Law, ZNUEL, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]},{"raw_affiliation_string":"Inf. Sch., Zhongnan Univ. of Econ. & Law, Wuhan","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Laixing","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Laixing","raw_affiliation_strings":["Wuhan Institute of Technology, Wuhan, China","Wuhan Inst. of Technol., Wuhan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Wuhan Inst. of Technol., Wuhan","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"IV ","last_page":" 667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.9327844381332397},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8708112835884094},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.6571470499038696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308199763298035},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5588322877883911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5193368196487427},{"id":"https://openalex.org/keywords/raised-relief-map","display_name":"Raised-relief map","score":0.5112969875335693},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45870813727378845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4008050262928009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3303697109222412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3226354122161865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23052942752838135},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2066989541053772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13166940212249756},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11438456177711487}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.9327844381332397},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8708112835884094},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.6571470499038696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308199763298035},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5588322877883911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5193368196487427},{"id":"https://openalex.org/C99695388","wikidata":"https://www.wikidata.org/wiki/Q350514","display_name":"Raised-relief map","level":3,"score":0.5112969875335693},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45870813727378845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4008050262928009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3303697109222412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226354122161865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23052942752838135},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2066989541053772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13166940212249756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11438456177711487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2036798369","https://openalex.org/W2087278589","https://openalex.org/W2127857797","https://openalex.org/W2140023211","https://openalex.org/W2165577558","https://openalex.org/W2391818584","https://openalex.org/W4245841714"],"related_works":["https://openalex.org/W2359644855","https://openalex.org/W2378911484","https://openalex.org/W2466038652","https://openalex.org/W2348432434","https://openalex.org/W2117303973","https://openalex.org/W2357318338","https://openalex.org/W2383065531","https://openalex.org/W30712511","https://openalex.org/W2355825889","https://openalex.org/W2140839681"],"abstract_inverted_index":{"The":[0,28],"paper":[1],"makes":[2],"comparison":[3],"between":[4],"\"terrain":[5,15],"change":[6,16,141],"detection":[7,17,63,142],"and":[8,14,18,36,46,60,80,89,95,143],"updating":[9,19,144],"based":[10,20],"on":[11,21,75],"VLL":[12],"matching\"":[13,23],"orthoimage":[22],"in":[24,52,65,121,145],"theory":[25],"at":[26],"first.":[27],"two":[29,62,90,107,134],"approaches":[30,64,92,108,135],"both":[31],"can":[32,136],"detect":[33],"changed":[34],"area":[35],"update":[37],"terrain":[38,102,117,140],"data":[39,88,103,118],"simultaneously":[40],"with":[41,83,123],"up-to-date":[42],"aerial":[43],"stereo":[44],"pair":[45],"outdated":[47],"DEM.":[48],"Two":[49],"study":[50],"areas":[51,68],"Shanxi":[53],"Province":[54],"China":[55],"are":[56,73,93,109],"employed":[57],"to":[58,112],"test":[59],"compare":[61],"experiment.":[66],"Changed":[67],"detected":[69],"by":[70,105,126],"each":[71],"mean":[72],"marked":[74],"imagery.":[76],"Overlay":[77],"of":[78,99],"orthoimages":[79],"contour":[81],"generated":[82],"updated":[84,101],"DEM":[85],"from":[86],"standard":[87],"presented":[91],"illustrated":[94],"compared.":[96],"And":[97,129],"statistics":[98],"the":[100,106,114,133],"produced":[104],"also":[110],"analyzed":[111],"investigate":[113],"differences.":[115],"Updated":[116],"is":[119],"mostly":[120],"consistent":[122],"products":[124],"made":[125],"experienced":[127],"operators.":[128],"it":[130],"shows":[131],"that":[132],"be":[137],"used":[138],"for":[139],"practice.":[146]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}