{"id":"https://openalex.org/W3205353862","doi":"https://doi.org/10.1109/igarss47720.2021.9553044","title":"Spd-Linknet: Upgraded D-Linknet with Strip Pooling for Road Extraction","display_name":"Spd-Linknet: Upgraded D-Linknet with Strip Pooling for Road Extraction","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205353862","doi":"https://doi.org/10.1109/igarss47720.2021.9553044","mag":"3205353862"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5059416515","display_name":"Yutao Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yutao Deng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101644168","display_name":"Junli Yang","orcid":"https://orcid.org/0000-0001-8370-7105"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junli Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026129834","display_name":"Chenyi Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyi Liang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016189095","display_name":"Yinuo Jing","orcid":"https://orcid.org/0009-0004-0866-2305"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinuo Jing","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059416515"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.8489,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72774478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2190","last_page":"2193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9966999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8890929222106934},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5869344472885132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5283558964729309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47039684653282166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40696901082992554},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3092581629753113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3021260201931}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8890929222106934},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5869344472885132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5283558964729309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47039684653282166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40696901082992554},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3092581629753113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3021260201931}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2592929672","https://openalex.org/W2735039185","https://openalex.org/W2804199516","https://openalex.org/W2893801697","https://openalex.org/W2899771611","https://openalex.org/W2963840672","https://openalex.org/W2964309882","https://openalex.org/W3034502973","https://openalex.org/W3102253946","https://openalex.org/W3105636206","https://openalex.org/W6696085341","https://openalex.org/W6748481559","https://openalex.org/W6750157648","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W4287804464","https://openalex.org/W803346624","https://openalex.org/W2152352598"],"abstract_inverted_index":{"In":[0],"the":[1,13,34,58,136,162,184],"field":[2,68],"of":[3,135],"road":[4,47],"extraction,":[5],"an":[6],"dominant":[7],"network":[8],"is":[9,60],"D-LinkNet":[10,21,164,178],"which":[11,91],"won":[12],"first":[14],"place":[15],"in":[16,50,152,179],"DeepGlobe":[17,170],"2018":[18,171],"challenge.":[19],"Although":[20],"creatively":[22],"proposed":[23],"D-block":[24,155],"with":[25,154],"progressively":[26],"enlarged":[27],"dilated":[28],"convolution":[29],"and":[30,57,114,140,156],"proved":[31],"its":[32],"efficiency,":[33],"<tex":[35,99,104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[36,100,105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathrm{N}\\times":[37,106],"\\mathrm{N}$</tex>":[38,102],"square":[39],"kernel":[40,97],"it":[41,142,158],"used":[42],"still":[43],"has":[44,54],"limitations":[45],"for":[46],"extraction.":[48],"Road":[49],"aerial":[51],"imagery":[52],"usually":[53],"narrow-and-long":[55],"shape,":[56],"direction":[59],"randomly":[61],"distributed.":[62],"Therefore,":[63],"not":[64],"only":[65],"large":[66],"receptive":[67],"but":[69,95],"also":[70],"anisotropic":[71],"long-range":[72],"contextual":[73],"information":[74],"should":[75],"be":[76],"considered.":[77],"Based":[78],"on":[79,120,169],"this":[80],"intuition,":[81],"we":[82,148],"integrate":[83],"a":[84,93],"new":[85],"pooling":[86,90,112,116,151],"strategy":[87],"named":[88],"strip":[89,111,121,150],"uses":[92],"long":[94],"narrow":[96],"i.e.":[98],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$1\\times":[101],"or":[103],"1$</tex>":[107],"into":[108,133],"D-LinkNet.":[109],"With":[110],"module(SPM)":[113],"mixed":[115],"module(MPM)":[117],"designed":[118],"based":[119],"pooling,":[122],"two":[123],"modifications":[124],"are":[125],"made":[126],"to":[127],"D-LinkNet:":[128],"1)":[129],"We":[130,160],"insert":[131],"SPM":[132],"Res-block":[134],"original":[137,177],"encoder":[138],"ResNet34":[139],"name":[141,157,161],"Res-SPM-block.":[143],"2)":[144],"Inspired":[145],"by":[146],"MPM,":[147],"connect":[149],"parallel":[153],"SPD-block.":[159],"upgraded":[163],"as":[165],"SPD-LinkNet.":[166],"Experimental":[167],"results":[168],"dataset":[172],"prove":[173],"that":[174],"SPD-LinkNet":[175],"outperforms":[176],"accuracy":[180],"while":[181],"maintaining":[182],"nearly":[183],"same":[185],"inference":[186],"speed.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
