{"id":"https://openalex.org/W3198064253","doi":"https://doi.org/10.1109/lgrs.2021.3106772","title":"Dual-Path Morph-UNet for Road and Building Segmentation From Satellite Images","display_name":"Dual-Path Morph-UNet for Road and Building Segmentation From Satellite Images","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3198064253","doi":"https://doi.org/10.1109/lgrs.2021.3106772","mag":"3198064253"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3106772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3106772","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/A5034811652","display_name":"Moni Shankar Dey","orcid":"https://orcid.org/0000-0002-3741-3269"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moni Shankar Dey","raw_affiliation_strings":["Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0002-3741-3269","affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002045088","display_name":"Ushasi Chaudhuri","orcid":"https://orcid.org/0000-0003-2970-9227"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ushasi Chaudhuri","raw_affiliation_strings":["Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0003-2970-9227","affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020786167","display_name":"Biplab Banerjee","orcid":"https://orcid.org/0000-0001-8371-8138"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biplab Banerjee","raw_affiliation_strings":["Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0001-8371-8138","affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057547054","display_name":"Avik Bhattacharya","orcid":"https://orcid.org/0000-0001-6720-6108"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Bhattacharya","raw_affiliation_strings":["Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0001-6720-6108","affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering (CSRE), IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7373,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83175585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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":1.0,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9879999756813049,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9842000007629395,"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":0.7059788703918457},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6924527287483215},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5155763030052185},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5088379979133606},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.50553297996521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49950504302978516},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49251946806907654},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.44232526421546936},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4336467385292053},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42783135175704956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41270673274993896},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.41053032875061035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3583598732948303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1267167627811432},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11924159526824951},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11830037832260132},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10888886451721191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059788703918457},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6924527287483215},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5155763030052185},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5088379979133606},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.50553297996521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49950504302978516},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49251946806907654},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.44232526421546936},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4336467385292053},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42783135175704956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41270673274993896},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.41053032875061035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3583598732948303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1267167627811432},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11924159526824951},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11830037832260132},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10888886451721191},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3106772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3106772","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":"Climate action","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1555849598","https://openalex.org/W1967427853","https://openalex.org/W1974097572","https://openalex.org/W2053350943","https://openalex.org/W2402431621","https://openalex.org/W2735039185","https://openalex.org/W2774320778","https://openalex.org/W2884436604","https://openalex.org/W2898504016","https://openalex.org/W2934268922","https://openalex.org/W2962767316","https://openalex.org/W3081791696","https://openalex.org/W3090240307","https://openalex.org/W3096091382","https://openalex.org/W3105636206","https://openalex.org/W3121619677","https://openalex.org/W3129042754","https://openalex.org/W3150573203","https://openalex.org/W6740164494"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2963177394","https://openalex.org/W1595229445","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848","https://openalex.org/W4298135613"],"abstract_inverted_index":{"Building":[0],"footprints":[1],"and":[2,34,52,71,95,138,166,169],"road":[3,70,96],"network":[4,112,181],"detection":[5],"have":[6,35],"gained":[7],"significant":[8],"attention":[9],"for":[10],"map":[11],"preparation,":[12],"humanitarian":[13],"aid":[14],"dissemination,":[15],"disaster":[16],"management,":[17],"to":[18,68,91,116,127],"name":[19],"a":[20,65],"few.":[21],"Traditionally,":[22],"morphological":[23,57,80,103],"filters":[24],"excel":[25],"at":[26,86],"extracting":[27],"shape":[28],"features":[29],"from":[30,73],"remotely":[31],"sensed":[32],"images":[33,77],"been":[36],"widely":[37],"used":[38],"in":[39,105,125,141],"the":[40,43,106,111,118,123,128,158,162,174,179,195],"literature.":[41],"However,":[42],"structural":[44],"element":[45],"(SE)":[46],"dimension":[47],"selection":[48],"impedes":[49],"these":[50],"classical":[51],"learning-based":[53],"methods":[54],"utilizing":[55],"any":[56],"operators.":[58],"To":[59],"overcome":[60],"this":[61],"aspect,":[62],"we":[63,156],"propose":[64],"novel":[66],"framework":[67,134,160],"extract":[69],"building":[72,94,108],"remote":[74],"sensing":[75],"(RS)":[76],"by":[78],"exploiting":[79],"networks.":[81],"The":[82,132],"method":[83],"predominantly":[84],"aims":[85],"learning":[87,147],"an":[88,142],"optimized":[89],"SE":[90,124],"capture":[92],"variably-sized":[93],"footprints.":[97],"We":[98],"substitute":[99],"convolutions":[100],"with":[101,152],"2-D":[102],"operations":[104],"basic":[107],"blocks":[109],"of":[110,121,148,183],"architecture":[113],"(Dual-path":[114],"Morph-UNet)":[115],"manage":[117],"intricate":[119],"task":[120],"optimizing":[122],"addition":[126],"actual":[129],"segmentation":[130],"task.":[131],"dual-path":[133],"incorporates":[135],"parallel":[136],"residual":[137],"dense":[139],"paths":[140],"encoder-decoder":[143],"architecture,":[144],"which":[145],"permits":[146],"higher-level":[149],"feature":[150],"representations":[151],"fewer":[153],"parameters.":[154],"Finally,":[155],"implement":[157],"proposed":[159,180],"on":[161],"benchmarked":[163],"Massachusetts":[164],"roads":[165],"buildings":[167],"dataset":[168],"demonstrate":[170],"superior":[171],"results":[172],"than":[173,194],"state-of-the-art":[175],"(SOTA).":[176],"In":[177],"addition,":[178],"consists":[182],"<inline-formula":[184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[186],"<tex-math":[187],"notation=\"LaTeX\">$10\\times":[188],"$":[189],"</tex-math></inline-formula>":[190],"less":[191],"learnable":[192],"parameters":[193],"SOTA":[196],"methods.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
