{"id":"https://openalex.org/W3026625556","doi":"https://doi.org/10.3390/rs12101680","title":"An Object-Based Bidirectional Method for Integrated Building Extraction and Change Detection between Multimodal Point Clouds","display_name":"An Object-Based Bidirectional Method for Integrated Building Extraction and Change Detection between Multimodal Point Clouds","publication_year":2020,"publication_date":"2020-05-24","ids":{"openalex":"https://openalex.org/W3026625556","doi":"https://doi.org/10.3390/rs12101680","mag":"3026625556"},"language":"en","primary_location":{"id":"doi:10.3390/rs12101680","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12101680","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs12101680","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020207163","display_name":"Chenguang Dai","orcid":"https://orcid.org/0000-0003-4681-3851"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Dai","raw_affiliation_strings":["School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059339041","display_name":"Zhenchao Zhang","orcid":"https://orcid.org/0000-0002-2405-2038"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]},{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN","NL"],"is_corresponding":true,"raw_author_name":"Zhenchao Zhang","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514AE Enschede, The Netherlands","School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514AE Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702458","display_name":"Dong Lin","orcid":"https://orcid.org/0000-0001-6847-4024"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Lin","raw_affiliation_strings":["School of Space Information, Space Engineering University, Beijing 101400, China"],"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University, Beijing 101400, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059339041"],"corresponding_institution_ids":["https://openalex.org/I169689159","https://openalex.org/I94624287"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.4282,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.78682837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"12","issue":"10","first_page":"1680","last_page":"1680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7590839862823486},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7529855370521545},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7489054203033447},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.621296763420105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5959762334823608},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5595434308052063},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5189337730407715},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5139495730400085},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5039755702018738},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.4643078148365021},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.457955926656723},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4384339153766632},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.421917200088501},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.421726256608963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37084531784057617},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16021186113357544},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.15800359845161438},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1290738880634308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590839862823486},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7529855370521545},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7489054203033447},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.621296763420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5959762334823608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5595434308052063},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5189337730407715},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5139495730400085},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5039755702018738},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.4643078148365021},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.457955926656723},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4384339153766632},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.421917200088501},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.421726256608963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37084531784057617},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16021186113357544},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.15800359845161438},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1290738880634308},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs12101680","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12101680","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/6dfcc51b-fecb-40d2-8307-15491bac7359","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/6dfcc51b-fecb-40d2-8307-15491bac7359","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Dai, C, Zhang, Z & Lin, D 2020, 'An object-based bidirectional method for integrated building extraction and change detection between multimodal point clouds', Remote sensing, vol. 12, no. 10, 1680. https://doi.org/10.3390/rs12101680","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:dcf3e651251a4c2386813199d1e0731d","is_oa":true,"landing_page_url":"https://doaj.org/article/dcf3e651251a4c2386813199d1e0731d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 10, p 1680 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/10/1680/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12101680","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12101680","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12101680","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1301337617","display_name":null,"funder_award_id":"41671409;41501482;41971427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7022118969","display_name":null,"funder_award_id":"201503172016","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W84227776","https://openalex.org/W1644641054","https://openalex.org/W1969136216","https://openalex.org/W1973644502","https://openalex.org/W1986522259","https://openalex.org/W1996749420","https://openalex.org/W2011287807","https://openalex.org/W2026665610","https://openalex.org/W2036798369","https://openalex.org/W2057061313","https://openalex.org/W2067441435","https://openalex.org/W2091546400","https://openalex.org/W2117248802","https://openalex.org/W2123576693","https://openalex.org/W2199671173","https://openalex.org/W2408023307","https://openalex.org/W2473418274","https://openalex.org/W2515344238","https://openalex.org/W2543281563","https://openalex.org/W2562468796","https://openalex.org/W2587329506","https://openalex.org/W2609747629","https://openalex.org/W2624503621","https://openalex.org/W2741377155","https://openalex.org/W2751993439","https://openalex.org/W2755857491","https://openalex.org/W2761129952","https://openalex.org/W2765747571","https://openalex.org/W2774454481","https://openalex.org/W2789868482","https://openalex.org/W2792827505","https://openalex.org/W2799811398","https://openalex.org/W2891248708","https://openalex.org/W2898797193","https://openalex.org/W2903078082","https://openalex.org/W2950642167","https://openalex.org/W2963727135","https://openalex.org/W2963809831","https://openalex.org/W2968622120","https://openalex.org/W2980698124","https://openalex.org/W3009276589","https://openalex.org/W3015072278","https://openalex.org/W3102127038","https://openalex.org/W6603383834","https://openalex.org/W6678827278","https://openalex.org/W6744269055","https://openalex.org/W6750637594","https://openalex.org/W6767057484"],"related_works":["https://openalex.org/W2969134726","https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W2091615206","https://openalex.org/W2366440988","https://openalex.org/W4399030596","https://openalex.org/W2358582870"],"abstract_inverted_index":{"Building":[0],"extraction":[1,45],"and":[2,21,32,46,52,66,80,115,127,144],"change":[3,47,69,119],"detection":[4,15,70,120],"are":[5,54,83,96],"two":[6,108],"important":[7],"tasks":[8],"in":[9,73],"the":[10,57,87,100,134,151,170],"remote":[11],"sensing":[12],"domain.":[13],"Change":[14],"between":[16],"airborne":[17],"laser":[18,59,88],"scanning":[19,89],"data":[20,23,33,90,103,110],"photogrammetric":[22],"is":[24,71],"vulnerable":[25],"to":[26,169],"dense":[27,101],"matching":[28,102],"errors,":[29],"mis-alignment":[30],"errors":[31],"gaps.":[34],"This":[35],"paper":[36],"proposes":[37],"an":[38,74],"unsupervised":[39],"object-based":[40,75,118],"method":[41],"for":[42,133,150],"integrated":[43],"building":[44,160],"detection.":[48],"Firstly,":[49],"terrain,":[50],"roofs":[51],"vegetation":[53],"extracted":[55],"from":[56],"precise":[58],"point":[60],"cloud,":[61],"based":[62],"on":[63,107],"\u201cbottom-up\u201d":[64],"segmentation":[65],"clustering.":[67],"Secondly,":[68],"performed":[72],"bidirectional":[76],"manner:":[77],"Heightened":[78],"buildings":[79,82,95],"demolished":[81,167],"detected":[84,97],"by":[85,98],"taking":[86,99],"as":[91,104],"reference,":[92],"while":[93],"newly-built":[94],"reference.":[105],"Experiments":[106],"urban":[109],"sets":[111],"demonstrate":[112],"its":[113],"effectiveness":[114],"robustness.":[116],"The":[117],"achieves":[121,138],"a":[122,128,139,145],"recall":[123,140],"rate":[124,130,141,147],"of":[125,131,142,148],"92.31%":[126],"precision":[129,146],"88.89%":[132],"Rotterdam":[135],"dataset;":[136],"it":[137],"85.71%":[143],"100%":[149],"Enschede":[152],"dataset.":[153],"It":[154],"can":[155],"not":[156],"only":[157],"extract":[158],"unchanged":[159],"footprints,":[161],"but":[162],"also":[163],"assign":[164],"heightened":[165],"or":[166],"labels":[168],"changed":[171],"buildings.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}