{"id":"https://openalex.org/W4399990141","doi":"https://doi.org/10.1109/tgrs.2024.3418369","title":"A Sparse Sharing Multitask Framework for Building Footprint Extraction From Remote Sensing Imagery Following the Dual Lottery Ticket Hypothesis","display_name":"A Sparse Sharing Multitask Framework for Building Footprint Extraction From Remote Sensing Imagery Following the Dual Lottery Ticket Hypothesis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399990141","doi":"https://doi.org/10.1109/tgrs.2024.3418369"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3418369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3418369","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055460928","display_name":"Huaqiao Xing","orcid":"https://orcid.org/0000-0002-8748-1729"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiao Xing","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-8748-1729","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102694119","display_name":"Junwu Xiang","orcid":"https://orcid.org/0009-0000-7509-592X"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwu Xiang","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0000-7509-592X","affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335139","display_name":"Xiong Li","orcid":"https://orcid.org/0000-0002-1790-7798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Xiong","raw_affiliation_strings":["Disaster Reduction and Preparedness Center of Jiangxi Province, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Disaster Reduction and Preparedness Center of Jiangxi Province, Nanchang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683603","display_name":"Qi Wen","orcid":"https://orcid.org/0000-0002-6520-3584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wen","raw_affiliation_strings":["Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6520-3584","affiliations":[{"raw_affiliation_string":"Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056847110","display_name":"Qingjie Liu","orcid":"https://orcid.org/0000-0002-5181-6451"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjie Liu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5181-6451","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhong Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8001-2703","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5455,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63480406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9973000288009644,"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":0.9945999979972839,"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":0.7322462201118469},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.7220016717910767},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5438554286956787},{"id":"https://openalex.org/keywords/lottery","display_name":"Lottery","score":0.5106177926063538},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.508171558380127},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.49887681007385254},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47513917088508606},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4102633595466614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38378024101257324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3479100465774536},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1486305594444275},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11154285073280334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322462201118469},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.7220016717910767},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5438554286956787},{"id":"https://openalex.org/C2777340749","wikidata":"https://www.wikidata.org/wiki/Q6684955","display_name":"Lottery","level":2,"score":0.5106177926063538},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.508171558380127},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.49887681007385254},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47513917088508606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4102633595466614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38378024101257324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3479100465774536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1486305594444275},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11154285073280334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3418369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3418369","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":null,"license_id":null,"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":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1263841929","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\u5efa\u7b51\u7269\u68c0\u6d4b\u4e0e\u5b9e\u4f8b\u5206\u5272\u7814\u7a76","funder_award_id":"41871283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1531463823","display_name":null,"funder_award_id":"202209995003","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G2445393709","display_name":null,"funder_award_id":"ZR2022YQ36","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2160883864","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2623331213","https://openalex.org/W2630837129","https://openalex.org/W2787091153","https://openalex.org/W2885628263","https://openalex.org/W2908320224","https://openalex.org/W2914902383","https://openalex.org/W2936941614","https://openalex.org/W2940262938","https://openalex.org/W2953881420","https://openalex.org/W2963881378","https://openalex.org/W2971095420","https://openalex.org/W2982206001","https://openalex.org/W2998103904","https://openalex.org/W3006570158","https://openalex.org/W3013719693","https://openalex.org/W3021057985","https://openalex.org/W3053564872","https://openalex.org/W3054909038","https://openalex.org/W3104035745","https://openalex.org/W3135352607","https://openalex.org/W3155211092","https://openalex.org/W3159637683","https://openalex.org/W3167403302","https://openalex.org/W3197838298","https://openalex.org/W3203945716","https://openalex.org/W3205771939","https://openalex.org/W3210405346","https://openalex.org/W3217005392","https://openalex.org/W3217745064","https://openalex.org/W4200142374","https://openalex.org/W4205457644","https://openalex.org/W4226224140","https://openalex.org/W4280568747","https://openalex.org/W4287241952","https://openalex.org/W4289932046","https://openalex.org/W4293584584","https://openalex.org/W4296829473","https://openalex.org/W4303968612","https://openalex.org/W4312984783","https://openalex.org/W4313627848","https://openalex.org/W4319878699","https://openalex.org/W4324144346","https://openalex.org/W4378895202","https://openalex.org/W4381232908","https://openalex.org/W4386634657","https://openalex.org/W4386858117","https://openalex.org/W4387188337","https://openalex.org/W4390423615","https://openalex.org/W4390910924","https://openalex.org/W4396680544","https://openalex.org/W6637373629","https://openalex.org/W6739696289","https://openalex.org/W6750227808","https://openalex.org/W6759088306","https://openalex.org/W6761630670","https://openalex.org/W6792950394"],"related_works":["https://openalex.org/W2004731113","https://openalex.org/W1556639976","https://openalex.org/W2366147166","https://openalex.org/W2394167907","https://openalex.org/W2139765960","https://openalex.org/W2128949092","https://openalex.org/W2357035722","https://openalex.org/W2066997075","https://openalex.org/W2368351749","https://openalex.org/W1899764947"],"abstract_inverted_index":{"Building":[0,275],"footprint":[1,118,129,222,254],"extraction":[2,119,130,223,230,255],"from":[3],"high-resolution":[4],"remote":[5],"sensing":[6],"imagery":[7],"is":[8,40,169,197,239],"significant":[9],"for":[10],"urban":[11],"planning,":[12],"change":[13],"detection,":[14],"disaster":[15],"management,":[16],"and":[17,36,78,94,131,141,173,204,264,273,288],"other":[18],"applications.":[19],"Recently,":[20],"researchers":[21],"have":[22],"found":[23],"that":[24,278],"the":[25,61,66,73,108,112,116,125,138,147,150,154,157,160,175,183,185,201,208,212,218,247,250,286],"edge":[26,44,109,113,132,178,219,229,251,283],"features":[27],"of":[28,75,127,159,177,207,220,249,252],"buildings":[29],"are":[30,134],"crucial":[31],"in":[32,72,111,156],"extracting":[33],"building":[34,79,117,128,221,253],"footprints,":[35],"multitask":[37,49,97],"deep":[38,50,98],"learning":[39,51,99],"used":[41,198],"to":[42,106,115,137,145,171,199,244],"share":[43],"feature":[45],"information.":[46,214],"However,":[47],"these":[48],"frameworks":[52],"adopt":[53],"a":[54,88,163,225,261],"hard":[55],"sharing":[56,103,121,143],"approach,":[57],"which":[58],"cannot":[59],"avoid":[60],"adverse":[62],"effects":[63,284],"caused":[64],"by":[65,120,210,241],"differences":[67],"between":[68,149],"different":[69],"tasks,":[70,162],"resulting":[71],"problem":[74],"blurred":[76],"edges":[77],"boundaries.":[80],"To":[81],"address":[82],"this":[83,85],"issue,":[84],"article":[86],"proposes":[87],"dual":[89,101],"lottery":[90],"ticket":[91],"hypothesis":[92],"(DLTH)":[93],"sparse":[95,102,139],"sharing-based":[96],"framework,":[100],"architecture":[104],"(DSSA),":[105],"transmit":[107],"information":[110,179,202],"detection":[114,133],"partial":[122],"parameters.":[123],"First,":[124],"subnetworks":[126],"constructed":[135],"according":[136],"rate":[140,144],"parameter":[142,205],"control":[146],"dependencies":[148],"subnetworks.":[151],"Second,":[152],"given":[153],"difference":[155],"importance":[158],"two":[161,265],"cosine":[164],"unequal-scaled":[165],"alternating":[166],"training":[167],"strategy":[168],"proposed":[170],"strengthen":[172],"weaken":[174],"transmission":[176,203],"periodically.":[180],"Third,":[181],"following":[182],"DLTH,":[184],"loss":[186],"function":[187],"with":[188],"<inline-formula":[189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[190,233],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[191,234],"<tex-math":[192,235],"notation=\"LaTeX\">${L}3$":[193],"</tex-math></inline-formula>/2":[194],"regularization":[195],"constraint":[196],"promote":[200],"conversion":[206],"subnetwork":[209],"using":[211],"global":[213],"Finally,":[215],"aiming":[216],"at":[217],"results,":[224],"pixel-based":[226],"evaluation":[227],"index,":[228],"accuracy":[231],"(<inline-formula":[232],"notation=\"LaTeX\">${\\mathrm":[236],"{EEA}}^{(n)})$":[237],"</tex-math></inline-formula>,":[238],"designed":[240],"morphological":[242],"erosion":[243],"better":[245,282],"evaluate":[246],"integrity":[248],"results.":[256],"The":[257],"experiments":[258],"conducted":[259],"on":[260],"self-annotated":[262],"dataset":[263,272],"public":[266],"datasets":[267],"(i.e.,":[268],"WHU":[269],"Aerial":[270],"Imagery":[271],"Massachusetts":[274],"dataset)":[276],"show":[277,289],"DSSA":[279],"can":[280],"achieve":[281],"than":[285],"baseline":[287],"excellent":[290],"generalization":[291],"ability.":[292]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
