{"id":"https://openalex.org/W4391956357","doi":"https://doi.org/10.3390/rs16040716","title":"Lightweight Multilevel Feature-Fusion Network for Built-Up Area Mapping from Gaofen-2 Satellite Images","display_name":"Lightweight Multilevel Feature-Fusion Network for Built-Up Area Mapping from Gaofen-2 Satellite Images","publication_year":2024,"publication_date":"2024-02-18","ids":{"openalex":"https://openalex.org/W4391956357","doi":"https://doi.org/10.3390/rs16040716"},"language":"en","primary_location":{"id":"doi:10.3390/rs16040716","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040716","pdf_url":"https://www.mdpi.com/2072-4292/16/4/716/pdf?version=1708251088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/4/716/pdf?version=1708251088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087953918","display_name":"Yixiang Chen","orcid":"https://orcid.org/0000-0001-8596-7963"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Chen","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101805366","display_name":"Feifei Peng","orcid":"https://orcid.org/0000-0002-6778-1636"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feifei Peng","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645417","display_name":"Shuai Yao","orcid":"https://orcid.org/0000-0002-9361-011X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yao","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104192828","display_name":"Yuxin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Xie","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101805366"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3531,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81874361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":"4","first_page":"716","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5868250727653503},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47562554478645325},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4281306564807892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3443230986595154},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33910292387008667},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2102111577987671},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04281008243560791}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5868250727653503},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47562554478645325},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4281306564807892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3443230986595154},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33910292387008667},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2102111577987671},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04281008243560791},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16040716","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040716","pdf_url":"https://www.mdpi.com/2072-4292/16/4/716/pdf?version=1708251088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b67ee986d9844a3798f74cfe5d6792e2","is_oa":true,"landing_page_url":"https://doaj.org/article/b67ee986d9844a3798f74cfe5d6792e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 4, p 716 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16040716","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040716","pdf_url":"https://www.mdpi.com/2072-4292/16/4/716/pdf?version=1708251088","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391956357.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2022841949","https://openalex.org/W2089702680","https://openalex.org/W2097117768","https://openalex.org/W2131438174","https://openalex.org/W2183341477","https://openalex.org/W2275332693","https://openalex.org/W2744389347","https://openalex.org/W2765226977","https://openalex.org/W2766673287","https://openalex.org/W2883780447","https://openalex.org/W2897265695","https://openalex.org/W2902436637","https://openalex.org/W2905113129","https://openalex.org/W2915971115","https://openalex.org/W2929921519","https://openalex.org/W2940726923","https://openalex.org/W2946948417","https://openalex.org/W2958768386","https://openalex.org/W2963446712","https://openalex.org/W2982595661","https://openalex.org/W2995263354","https://openalex.org/W3022140654","https://openalex.org/W3027626119","https://openalex.org/W3033969337","https://openalex.org/W3099985666","https://openalex.org/W3110908156","https://openalex.org/W3159746787","https://openalex.org/W3169100537","https://openalex.org/W3198394854","https://openalex.org/W3206842989","https://openalex.org/W4292543266","https://openalex.org/W4293206963","https://openalex.org/W4311454679","https://openalex.org/W4380851765","https://openalex.org/W4385437306","https://openalex.org/W4386133645","https://openalex.org/W4386299119","https://openalex.org/W4386864162","https://openalex.org/W4389104779","https://openalex.org/W4390357767","https://openalex.org/W6687483927","https://openalex.org/W6800926811","https://openalex.org/W6847001555","https://openalex.org/W6858978862"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658","https://openalex.org/W4205376403","https://openalex.org/W2331410275","https://openalex.org/W2002340745"],"abstract_inverted_index":{"The":[0,90,154],"timely,":[1],"accurate":[2],"acquisition":[3],"of":[4,15,19,32,38,44,84,94,100,124,151,156],"geographic":[5],"spatial":[6,39],"information":[7],"such":[8],"as":[9],"the":[10,30,36,41,79,122,178,195],"location,":[11],"scope,":[12],"and":[13,26,35,68,82,127,186,191],"distribution":[14],"built-up":[16,46,85,152,176],"areas":[17,47,86],"is":[18,144,159],"great":[20],"importance":[21],"for":[22,78,174],"urban":[23,45],"planning,":[24],"management,":[25],"decision-making.":[27],"Due":[28],"to":[29,103,120,146],"diversity":[31],"target":[33],"features":[34,105],"complexity":[37],"layouts,":[40],"large-scale":[42],"mapping":[43],"using":[48,161],"high-resolution":[49],"(HR)":[50],"satellite":[51,163],"imagery":[52],"still":[53],"faces":[54],"considerable":[55],"challenges.":[56],"To":[57],"address":[58],"this":[59,61,157],"issue,":[60],"study":[62],"adopted":[63,145],"a":[64,70,135,141,148,182],"block-based":[65,133],"processing":[66],"strategy":[67],"constructed":[69],"lightweight":[71,101],"multilevel":[72],"feature-fusion":[73],"(FF)":[74],"convolutional":[75],"neural":[76],"network":[77,92],"feature":[80,96],"representation":[81],"discrimination":[83,126],"in":[87,194],"HR":[88],"images.":[89],"proposed":[91,179],"consists":[93],"three":[95],"extraction":[97,150],"modules":[98],"composed":[99],"convolutions":[102],"extract":[104],"at":[106],"different":[107],"levels,":[108],"which":[109],"are":[110],"further":[111],"fused":[112],"sequentially":[113],"through":[114],"two":[115],"attention-based":[116],"FF":[117],"modules.":[118],"Furthermore,":[119],"improve":[121],"problem":[123],"incorrect":[125],"severe":[128],"jagged":[129],"boundaries":[130],"caused":[131],"by":[132],"processing,":[134],"majority":[136],"voting":[137],"method":[138,158,180],"based":[139],"on":[140],"grid":[142],"offset":[143],"achieve":[147],"refined":[149],"areas.":[153],"effectiveness":[155],"evaluated":[160],"Gaofen-2":[162],"image":[164],"data":[165],"covering":[166],"Shenzhen,":[167],"China.":[168],"Compared":[169],"with":[170],"several":[171],"state-of-the-art":[172],"algorithms":[173],"detecting":[175],"areas,":[177],"achieves":[181],"higher":[183],"detection":[184],"accuracy":[185],"preserves":[187],"better":[188],"shape":[189],"integrity":[190],"boundary":[192],"smoothness":[193],"extracted":[196],"results.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}