{"id":"https://openalex.org/W4414322070","doi":"https://doi.org/10.1109/tgrs.2025.3611869","title":"Global Collinearity-Aware Polygonizer for Polygonal Building Mapping in Remote Sensing","display_name":"Global Collinearity-Aware Polygonizer for Polygonal Building Mapping in Remote Sensing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414322070","doi":"https://doi.org/10.1109/tgrs.2025.3611869"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3611869","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611869","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tgrs.2025.3611869","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029411481","display_name":"Fahong Zhang","orcid":"https://orcid.org/0000-0003-0209-8841"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fahong Zhang","raw_affiliation_strings":["Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0209-8841","affiliations":[{"raw_affiliation_string":"Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007704","display_name":"Yilei Shi","orcid":"https://orcid.org/0000-0001-7386-0026"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yilei Shi","raw_affiliation_strings":["School of Engineering and Design, TUM, Munich, Germany","School of Engineering and Design, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, TUM, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"School of Engineering and Design, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055471482","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-8107-9096"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8107-9096","affiliations":[{"raw_affiliation_string":"Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":2.0999,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8682749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9912999868392944,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9912999868392944,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9735000133514404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.35519999265670776},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.3276999890804291},{"id":"https://openalex.org/keywords/earth-remote-sensing","display_name":"Earth remote sensing","score":0.31679999828338623},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.30790001153945923},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.29159998893737793},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.2890999913215637},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.289000004529953}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8140000104904175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4650000035762787},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.38449999690055847},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3276999890804291},{"id":"https://openalex.org/C115240124","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Earth remote sensing","level":3,"score":0.31679999828338623},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3611869","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611869","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tgrs.2025.3611869","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3611869","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1277715117","display_name":null,"funder_award_id":"50EE2201C","funder_id":"https://openalex.org/F4320322835","funder_display_name":"Ministry of Economic Affairs"},{"id":"https://openalex.org/G1499018943","display_name":null,"funder_award_id":"67KI32002B","funder_id":"https://openalex.org/F4320322007","funder_display_name":"Ministry of Environment"},{"id":"https://openalex.org/G5654264328","display_name":"Tiefes TransferLernen in der Fernerkundung","funder_award_id":"519016653","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320322007","display_name":"Ministry of Environment","ror":"https://ror.org/04xmt0833"},{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"},{"id":"https://openalex.org/F5395805803","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1981934656","https://openalex.org/W2104095591","https://openalex.org/W2194775991","https://openalex.org/W2229412420","https://openalex.org/W2609402060","https://openalex.org/W2612624696","https://openalex.org/W2618530766","https://openalex.org/W2790396413","https://openalex.org/W2897593716","https://openalex.org/W2908320224","https://openalex.org/W2963150697","https://openalex.org/W2963424940","https://openalex.org/W2981989409","https://openalex.org/W2996327453","https://openalex.org/W3035288577","https://openalex.org/W3096609285","https://openalex.org/W3165638751","https://openalex.org/W3171450708","https://openalex.org/W3195402235","https://openalex.org/W3206916045","https://openalex.org/W3217355560","https://openalex.org/W4237591687","https://openalex.org/W4250819038","https://openalex.org/W4283658303","https://openalex.org/W4292692470","https://openalex.org/W4312815172","https://openalex.org/W4318825795","https://openalex.org/W4361195764","https://openalex.org/W4362449408","https://openalex.org/W4385245566","https://openalex.org/W4386071535","https://openalex.org/W4390871802","https://openalex.org/W4390956146","https://openalex.org/W4391021462","https://openalex.org/W4391830782","https://openalex.org/W4393396103","https://openalex.org/W4402475177","https://openalex.org/W4403284395"],"related_works":[],"abstract_inverted_index":{"This":[0,92,175],"paper":[1],"addresses":[2],"the":[3,18,47,50,69,72,88,105,110,117,128,131,154,172,178,186],"challenge":[4],"of":[5,49,71,109,130,136,181],"mapping":[6],"polygonal":[7,146],"buildings":[8],"from":[9],"remote":[10],"sensing":[11],"images":[12],"and":[13,86,107],"introduces":[14],"a":[15,56,60,77],"novel":[16],"algorithm,":[17],"Global":[19],"Collinearity-aware":[20],"Polygonizer":[21],"(GCP).":[22],"GCP,":[23],"built":[24],"upon":[25],"an":[26,100],"instance":[27,36],"segmentation":[28,37],"framework,":[29],"processes":[30],"binary":[31,51],"masks":[32],"produced":[33],"by":[34,42],"any":[35],"model.":[38],"The":[39,134,183],"algorithm":[40],"begins":[41],"collecting":[43],"polylines":[44,54,85],"sampled":[45],"along":[46],"contours":[48,70],"masks.":[52],"These":[53],"undergo":[55],"refinement":[57],"process":[58],"using":[59],"transformer-based":[61],"regression":[62],"module":[63,81,93,158],"to":[64,98,159],"ensure":[65],"they":[66],"accurately":[67],"fit":[68],"targeted":[73],"building":[74,147],"instances.":[75],"Subsequently,":[76],"collinearity-aware":[78,119,155],"polygon":[79,90,156],"simplification":[80,157],"simplifies":[82],"these":[83],"refined":[84],"generate":[87],"final":[89],"representation.":[91],"employs":[94],"dynamic":[95],"programming":[96],"technique":[97],"optimize":[99],"objective":[101,120],"function":[102],"that":[103,152],"balances":[104],"simplicity":[106],"fidelity":[108],"polygons,":[111],"achieving":[112],"globally":[113],"optimal":[114],"solutions.":[115],"Furthermore,":[116],"optimized":[118],"is":[121],"seamlessly":[122],"integrated":[123],"into":[124],"network":[125],"training,":[126],"enhancing":[127],"cohesiveness":[129],"entire":[132],"pipeline.":[133],"effectiveness":[135],"GCP":[137],"has":[138],"been":[139],"validated":[140],"on":[141],"three":[142],"public":[143],"benchmarks":[144],"for":[145,185],"mapping.":[148],"Further":[149],"experiments":[150],"reveal":[151],"applying":[153],"arbitrary":[160],"polylines,":[161],"without":[162],"prior":[163],"knowledge,":[164],"enhances":[165],"accuracy":[166],"over":[167],"traditional":[168],"methods":[169],"such":[170],"as":[171],"Douglas-Peucker":[173],"algorithm.":[174],"finding":[176],"underscores":[177],"broad":[179],"applicability":[180],"GCP.":[182],"code":[184],"proposed":[187],"method":[188],"will":[189],"be":[190],"made":[191],"available":[192],"at":[193],"https://github.com/zhu-xlab/GCP.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}