{"id":"https://openalex.org/W4250272066","doi":"https://doi.org/10.1109/icpr.2004.1334607","title":"Automatic extraction of buildings utilizing geometric features of a scanned topographic map","display_name":"Automatic extraction of buildings utilizing geometric features of a scanned topographic map","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4250272066","doi":"https://doi.org/10.1109/icpr.2004.1334607"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334607","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5076199482","display_name":"Takaharu Miyoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I139084617","display_name":"Hiroshima Institute of Technology","ror":"https://ror.org/02bwkwm60","country_code":"JP","type":"education","lineage":["https://openalex.org/I139084617"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Miyoshi","raw_affiliation_strings":["Hiroshima Inst. of Tech., Japan","Hiroshima Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima Inst. of Tech., Japan","institution_ids":["https://openalex.org/I139084617"]},{"raw_affiliation_string":"Hiroshima Institute of Technology, Japan","institution_ids":["https://openalex.org/I139084617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414940","display_name":"Weiqing Li","orcid":"https://orcid.org/0000-0002-1929-3654"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Li","raw_affiliation_strings":["University of Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"University of Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073559104","display_name":"Kazufumi Kaneda","orcid":"https://orcid.org/0000-0002-5231-1826"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Kaneda","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020001669","display_name":"Hideo Yamashita","orcid":null},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Yamashita","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017178896","display_name":"Eihachiro Nakamae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Nakamae","raw_affiliation_strings":["Sanei Company Limited, Japan"],"affiliations":[{"raw_affiliation_string":"Sanei Company Limited, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076199482"],"corresponding_institution_ids":["https://openalex.org/I139084617"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.55119284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"626","last_page":"629 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.798328697681427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170830965042114},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5909949541091919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5869885683059692},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5771493315696716},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5637105703353882},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.532669186592102},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.4675767719745636},{"id":"https://openalex.org/keywords/digital-mapping","display_name":"Digital mapping","score":0.4671719968318939},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46573084592819214},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.21911287307739258},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21631625294685364}],"concepts":[{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.798328697681427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170830965042114},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5909949541091919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5869885683059692},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5771493315696716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5637105703353882},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.532669186592102},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.4675767719745636},{"id":"https://openalex.org/C181672929","wikidata":"https://www.wikidata.org/wiki/Q4115141","display_name":"Digital mapping","level":2,"score":0.4671719968318939},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46573084592819214},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.21911287307739258},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21631625294685364},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334607","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W615895347","https://openalex.org/W1525420987","https://openalex.org/W2117349184","https://openalex.org/W2509777898","https://openalex.org/W6725182008"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2768758348","https://openalex.org/W3102510374","https://openalex.org/W2954918491","https://openalex.org/W2965182652"],"abstract_inverted_index":{"We":[0],"have":[1],"been":[2],"developing":[3],"the":[4,48],"feature":[5],"oriented":[6],"and":[7,28,38],"progressive":[8],"algorithm":[9],"in":[10],"order":[11],"to":[12,43,46],"make":[13],"an":[14],"object-oriented":[15],"digital":[16],"map":[17],"database":[18],"(DMD)":[19],"from":[20],"printed":[21],"topographic":[22],"maps":[23],"by":[24],"using":[25],"raster-vector":[26],"conversion":[27],"extracting":[29],"various":[30],"objects":[31],"such":[32],"as":[33],"natural":[34],"objects,":[35,37],"man-made":[36],"notations.":[39],"This":[40],"paper":[41],"concentrates":[42],"discuss":[44],"how":[45],"extract":[47],"buildings.":[49]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}