{"id":"https://openalex.org/W4385152255","doi":"https://doi.org/10.1109/lgrs.2023.3297839","title":"DF-Mask R-CNN: Direction Field-Based Optimized Instance Segmentation Network for Building Instance Extraction","display_name":"DF-Mask R-CNN: Direction Field-Based Optimized Instance Segmentation Network for Building Instance Extraction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385152255","doi":"https://doi.org/10.1109/lgrs.2023.3297839"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3297839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3297839","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5007892503","display_name":"Shuang Zhang","orcid":"https://orcid.org/0000-0001-6963-3357"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Zhang","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080485606","display_name":"Yungang Cao","orcid":"https://orcid.org/0000-0003-0495-594X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungang Cao","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069851409","display_name":"Baikai Sui","orcid":"https://orcid.org/0000-0003-1244-5771"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baikai Sui","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007892503"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":1.2263,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76114314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9976999759674072,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8141120076179504},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7515543103218079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6937885284423828},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.5864964723587036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5637309551239014},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5621581673622131},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5548843741416931},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5213390588760376},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47788798809051514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4573459327220917},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4332504868507385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10800027847290039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141120076179504},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7515543103218079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6937885284423828},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.5864964723587036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5637309551239014},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5621581673622131},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5548843741416931},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5213390588760376},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47788798809051514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4573459327220917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4332504868507385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10800027847290039},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3297839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3297839","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1720704566","display_name":null,"funder_award_id":"2020JDTD0003","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G4194738760","display_name":null,"funder_award_id":"2022NSFSC0409","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G8842547467","display_name":null,"funder_award_id":"41771451","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2806070179","https://openalex.org/W2908320224","https://openalex.org/W2962914239","https://openalex.org/W2963849369","https://openalex.org/W3035358681","https://openalex.org/W3088431851","https://openalex.org/W3092573066","https://openalex.org/W3139009748","https://openalex.org/W3159162471","https://openalex.org/W3160485208","https://openalex.org/W3212386388","https://openalex.org/W4292261063","https://openalex.org/W4312443924","https://openalex.org/W4312940821","https://openalex.org/W4377079812","https://openalex.org/W6794960497"],"related_works":["https://openalex.org/W2355499516","https://openalex.org/W3174480258","https://openalex.org/W3210974833","https://openalex.org/W2599000612","https://openalex.org/W2811475781","https://openalex.org/W2094246381","https://openalex.org/W2361137193","https://openalex.org/W2377736761","https://openalex.org/W2353928006","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Extracting":[0],"building":[1,21,136],"instances":[2],"from":[3],"remote":[4],"sensing":[5],"images":[6],"has":[7,125],"various":[8],"applications.":[9],"However,":[10],"existing":[11],"instance":[12,32,62,130,137],"segmentation":[13,33,63,131],"methods":[14],"have":[15],"difficulty":[16],"maintaining":[17],"regular":[18],"and":[19,89,105,133,144,166],"angular":[20],"boundaries,":[22],"corrupting":[23],"the":[24,37,43,56,60,71,82,86,102,108,111,118,129,142,152,169],"mask":[25,57,83],"quality.":[26,46],"This":[27],"letter":[28],"proposes":[29],"a":[30,51,75,90,95],"boundary-optimized":[31],"method":[34,49,132,150,161],"based":[35],"on":[36,141,168],"direction":[38,96,103,122],"field":[39,97,104,123],"to":[40,54,128,135],"cope":[41],"with":[42,157],"low":[44],"boundary":[45,68],"The":[47],"proposed":[48],"develops":[50],"DF-Mask":[52,72],"head":[53],"improve":[55],"quality":[58],"of":[59,113],"primary":[61],"network":[64],"(Mask":[65],"R-CNN)":[66],"through":[67,85],"optimization.":[69],"Within":[70],"head,":[73],"first,":[74],"gated":[76],"directional":[77,87],"context-aware":[78],"module":[79,99],"(GDCAM)":[80],"improves":[81,162],"features":[84],"context":[88],"designed":[91],"gating":[92],"mechanism.":[93],"Then":[94],"rectification":[98,124],"(DFRM)":[100],"predicts":[101],"iteratively":[106],"rectifies":[107],"mask.":[109],"To":[110],"best":[112],"our":[114,149,160],"knowledge,":[115],"this":[116],"is":[117],"first":[119],"time":[120],"that":[121,148],"been":[126],"developed":[127],"applied":[134],"extraction.":[138],"Experimental":[139],"results":[140],"Vaihingen":[143],"Massachusetts":[145],"datasets":[146],"suggest":[147],"outperforms":[151],"eight":[153],"state-of-the-art":[154],"methods.":[155],"Compared":[156],"Mask":[158],"R-CNN,":[159],"APs":[163],"by":[164],"4.7%":[165],"2.2%":[167],"two":[170],"datasets,":[171],"respectively.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
