{"id":"https://openalex.org/W4295308575","doi":"https://doi.org/10.1109/jstars.2022.3205609","title":"Multiscale Feature Weighted-Aggregating and Boundary Enhancement Network for Semantic Segmentation of High-Resolution Remote Sensing Images","display_name":"Multiscale Feature Weighted-Aggregating and Boundary Enhancement Network for Semantic Segmentation of High-Resolution Remote Sensing Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295308575","doi":"https://doi.org/10.1109/jstars.2022.3205609"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3205609","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3205609","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09887879.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09887879.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044317087","display_name":"Yingying Zhao","orcid":"https://orcid.org/0000-0001-9295-0721"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying Zhao","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819670","display_name":"Guizhou Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhou Zheng","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044888660","display_name":"Zhangyan Xu","orcid":"https://orcid.org/0000-0001-8937-9827"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangyan Xu","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012320100","display_name":"Zhonghang Qiu","orcid":"https://orcid.org/0000-0003-1305-0907"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghang Qiu","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345068","display_name":"Zhixing Chen","orcid":"https://orcid.org/0000-0002-2937-9507"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixing Chen","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044317087"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.6763,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72551292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"8118","last_page":"8130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.8088876605033875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.628332793712616},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5884873270988464},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5823715925216675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5395808219909668},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5305358171463013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5222678780555725},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.48911339044570923},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4583212435245514},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42911815643310547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3806912899017334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3283070921897888},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09483540058135986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088876605033875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.628332793712616},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5884873270988464},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5823715925216675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5395808219909668},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5305358171463013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5222678780555725},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.48911339044570923},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4583212435245514},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42911815643310547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3806912899017334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3283070921897888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09483540058135986},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3205609","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3205609","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09887879.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ac58af5bc9f048088b9f8e37fd99871c","is_oa":true,"landing_page_url":"https://doaj.org/article/ac58af5bc9f048088b9f8e37fd99871c","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8118-8130 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3205609","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3205609","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09887879.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1627728947","display_name":null,"funder_award_id":"42130309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8329113044","display_name":null,"funder_award_id":"41972066","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4295308575.pdf","grobid_xml":"https://content.openalex.org/works/W4295308575.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W85976583","https://openalex.org/W328766226","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1967320999","https://openalex.org/W1971240982","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2119879130","https://openalex.org/W2122111042","https://openalex.org/W2161236525","https://openalex.org/W2188442362","https://openalex.org/W2194775991","https://openalex.org/W2266390837","https://openalex.org/W2466877391","https://openalex.org/W2494341560","https://openalex.org/W2554423077","https://openalex.org/W2560023338","https://openalex.org/W2608898002","https://openalex.org/W2752782242","https://openalex.org/W2770233088","https://openalex.org/W2778539913","https://openalex.org/W2792676371","https://openalex.org/W2803073826","https://openalex.org/W2814201407","https://openalex.org/W2883589384","https://openalex.org/W2884559812","https://openalex.org/W2899101283","https://openalex.org/W2899315938","https://openalex.org/W2899809800","https://openalex.org/W2910434671","https://openalex.org/W2915254566","https://openalex.org/W2945528352","https://openalex.org/W2952793010","https://openalex.org/W2962914239","https://openalex.org/W2963659230","https://openalex.org/W2964309882","https://openalex.org/W2991471181","https://openalex.org/W2995766874","https://openalex.org/W2999628870","https://openalex.org/W3007268491","https://openalex.org/W3034218843","https://openalex.org/W3035433720","https://openalex.org/W3080959115","https://openalex.org/W3091490581","https://openalex.org/W3098881417","https://openalex.org/W3105127913","https://openalex.org/W3107113572","https://openalex.org/W3109998321","https://openalex.org/W3110908156","https://openalex.org/W3117812033","https://openalex.org/W3128055887","https://openalex.org/W3150147434","https://openalex.org/W3150573203","https://openalex.org/W3177052299","https://openalex.org/W3183174367","https://openalex.org/W3184581301","https://openalex.org/W3201728519","https://openalex.org/W3202923600","https://openalex.org/W4226412984","https://openalex.org/W4226530543","https://openalex.org/W4252586114","https://openalex.org/W6603440526","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6687077846","https://openalex.org/W6729856380","https://openalex.org/W6748481559","https://openalex.org/W6753320199","https://openalex.org/W6757908397"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W2522537526","https://openalex.org/W4308659218","https://openalex.org/W2998228095","https://openalex.org/W2494338568","https://openalex.org/W2791535170","https://openalex.org/W2001271057","https://openalex.org/W2468641972","https://openalex.org/W1586536980","https://openalex.org/W1522196789"],"abstract_inverted_index":{"High-resolution":[0],"remote":[1],"sensing":[2],"images":[3],"(HRRSIs)":[4],"play":[5],"an":[6],"important":[7],"role":[8],"in":[9,51,93,101,185],"large":[10],"area":[11],"and":[12,26,81,114,160,176,197,223,239],"real-time":[13],"earth":[14],"observation":[15],"tasks.":[16],"However,":[17,67],"HRRSIs":[18],"typically":[19],"comprise":[20],"heterogeneous":[21],"objects":[22,193],"of":[23,65,79,99,122,245],"various":[24,63],"sizes":[25,64],"complex":[27],"boundary":[28,95,115,164,173],"lines,":[29],"which":[30,152],"poses":[31],"challenges":[32],"to":[33,60,76,129,154,169,188,208],"HRRSI":[34,221,246],"segmentation.":[35,247],"Despite":[36],"the":[37,46,62,120,135,140,171,186,210,224,229,243],"fact":[38],"that":[39,142,228],"deep":[40,156,236],"convolutional":[41],"neural":[42],"networks":[43],"dramatically":[44],"boosted":[45],"accuracy,":[47],"several":[48],"limitations":[49],"exist":[50],"standard":[52],"models.":[53],"Existing":[54],"methods,":[55],"mainly":[56],"concatenate":[57],"multi-scale":[58,111,148],"information":[59,96,141,174,199],"extract":[61,83,130],"objects.":[66,85],"these":[68],"methods":[69,238],"ignore":[70],"differentiating":[71],"information,":[72],"making":[73],"it":[74],"difficult":[75],"take":[77],"advantage":[78],"them":[80],"completely":[82],"small":[84],"In":[86,104],"addition,":[87],"there":[88],"have":[89],"remained":[90],"some":[91],"difficulties":[92],"extracting":[94],"with":[97],"positions":[98],"uncertainty":[100],"previous":[102],"works.":[103],"this":[105],"paper,":[106],"we":[107,145],"propose":[108,146],"a":[109,126,147,202],"novel":[110],"feature":[112,149],"weighted-aggregating":[113,150],"enhancement":[116,165],"network":[117,211],"(MFBE-Net)":[118],"for":[119],"segmentation":[121],"HRRSIs.":[123],"ResNet-50,":[124],"possessing":[125],"strong":[127],"ability":[128],"features,":[131,157,159],"is":[132,167,182,206],"employed":[133],"as":[134],"backbone.":[136],"To":[137],"fully":[138],"utilize":[139],"was":[143,216],"extracted,":[144],"module,":[151],"aims":[153],"weight-integrate":[155],"shallow":[158],"global":[161],"information.":[162],"The":[163],"module":[166],"designed":[168],"solve":[170],"blurry":[172],"problems":[175],"locate":[177],"its":[178],"positions.":[179],"Coordinate":[180],"attention":[181],"also":[183],"applied":[184],"framework":[187,231],"coherently":[189],"label":[190],"size-varied":[191],"ground":[192],"from":[194],"different":[195],"categories":[196],"reduce":[198],"redundancy.":[200],"Meanwhile,":[201],"mixed":[203],"loss":[204],"function":[205],"used":[207],"supervise":[209],"training":[212],"process.":[213],"Finally,":[214],"MFBE-Net":[215],"verified":[217],"on":[218],"two":[219],"public":[220],"datasets,":[222],"experimental":[225],"results":[226],"show":[227],"proposed":[230],"outperformed":[232],"other":[233],"existing":[234],"mainstream":[235],"learning":[237],"could":[240],"further":[241],"improve":[242],"accuracy":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-09-12T00:00:00"}
