{"id":"https://openalex.org/W3194085935","doi":"https://doi.org/10.1109/jstars.2021.3104382","title":"Light-Weight Semantic Segmentation Network for UAV Remote Sensing Images","display_name":"Light-Weight Semantic Segmentation Network for UAV Remote Sensing Images","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3194085935","doi":"https://doi.org/10.1109/jstars.2021.3104382","mag":"3194085935"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3104382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3104382","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09512294.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":null,"license_id":null,"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/ielx7/4609443/4609444/09512294.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006526093","display_name":"Siyu Liu","orcid":"https://orcid.org/0000-0002-5735-3603"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5735-3603","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039059630","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0001-6966-0531"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6966-0531","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029095337","display_name":"Leikun Liang","orcid":"https://orcid.org/0000-0002-0342-7363"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leikun Liang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0342-7363","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072836062","display_name":"Haiwei Bai","orcid":"https://orcid.org/0000-0002-0895-4963"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiwei Bai","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0895-4963","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028258004","display_name":"Wanli Dang","orcid":"https://orcid.org/0000-0002-9108-737X"},"institutions":[{"id":"https://openalex.org/I1299457549","display_name":"Civil Aviation Administration of China","ror":"https://ror.org/05gfwht30","country_code":"CN","type":"government","lineage":["https://openalex.org/I1299457549","https://openalex.org/I4210127216"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Dang","raw_affiliation_strings":["Second Research Institute of Civil Aviation Administration of China, Chengdu, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9108-737X","affiliations":[{"raw_affiliation_string":"Second Research Institute of Civil Aviation Administration of China, Chengdu, China","institution_ids":["https://openalex.org/I1299457549"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":4.4506,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95830619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":null,"first_page":"8287","last_page":"8296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9912999868392944,"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":0.8371052742004395},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7202285528182983},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6845303773880005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6083709597587585},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.556077778339386},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5015883445739746},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4851001501083374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4623052179813385},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45836126804351807},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41696426272392273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40334147214889526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39458250999450684},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08210957050323486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8371052742004395},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7202285528182983},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6845303773880005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6083709597587585},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.556077778339386},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5015883445739746},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4851001501083374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4623052179813385},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45836126804351807},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41696426272392273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40334147214889526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39458250999450684},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08210957050323486},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3104382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3104382","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09512294.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":null,"license_id":null,"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:8523ef1aa62244f282d31f597bcd4cfd","is_oa":true,"landing_page_url":"https://doaj.org/article/8523ef1aa62244f282d31f597bcd4cfd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8287-8296 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3104382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3104382","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09512294.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":null,"license_id":null,"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/G6510767096","display_name":null,"funder_award_id":"62071104","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194085935.pdf","grobid_xml":"https://content.openalex.org/works/W3194085935.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2163311420","https://openalex.org/W2194775991","https://openalex.org/W2241051737","https://openalex.org/W2304578911","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2598666589","https://openalex.org/W2612445135","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2762439315","https://openalex.org/W2769604969","https://openalex.org/W2780740184","https://openalex.org/W2792476967","https://openalex.org/W2793461576","https://openalex.org/W2793872863","https://openalex.org/W2796347433","https://openalex.org/W2807092502","https://openalex.org/W2886934227","https://openalex.org/W2899411857","https://openalex.org/W2901291024","https://openalex.org/W2913286592","https://openalex.org/W2955058313","https://openalex.org/W2955425717","https://openalex.org/W2962777203","https://openalex.org/W2963091558","https://openalex.org/W2963125010","https://openalex.org/W2963378109","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963611454","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2963890956","https://openalex.org/W2964309882","https://openalex.org/W2981689412","https://openalex.org/W2987761193","https://openalex.org/W2998460252","https://openalex.org/W3014795891","https://openalex.org/W3016641475","https://openalex.org/W3028752951","https://openalex.org/W3107355610","https://openalex.org/W3119678585","https://openalex.org/W3130103799","https://openalex.org/W3137356689","https://openalex.org/W3196904463","https://openalex.org/W4293406525","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6696085341","https://openalex.org/W6717372056","https://openalex.org/W6737664043","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6747394537","https://openalex.org/W6748481559","https://openalex.org/W6750227808","https://openalex.org/W6750245737","https://openalex.org/W6754123467","https://openalex.org/W6762718338","https://openalex.org/W6776044926","https://openalex.org/W6782419071","https://openalex.org/W6790584404"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W3090555870","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W3005627584","https://openalex.org/W2899027234"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,38,66,92,214],"for":[2,51,68],"unmanned":[3],"aerial":[4],"vehicle":[5],"(UAV)":[6],"remote":[7,21,54,70,95,170,219],"sensing":[8,22,55,71,96,171,220],"images":[9],"has":[10],"become":[11],"one":[12],"of":[13,20,90,93,118,125,131,181,205,240],"the":[14,18,29,88,105,123,135,145,156,161,164,174,177,185,192,203,206,227,237],"research":[15],"focuses":[16],"in":[17,168],"field":[19],"at":[23],"present,":[24],"which":[25,230],"could":[26],"accurately":[27],"analyze":[28],"ground":[30],"objects":[31],"and":[32,163,198],"their":[33],"relationships.":[34],"However,":[35],"conventional":[36],"semantic":[37,65,91,158,213],"methods":[39,235],"based":[40],"on":[41,191,217],"deep":[42],"learning":[43],"require":[44],"large-scale":[45],"models":[46],"that":[47],"are":[48,137],"not":[49],"suitable":[50],"resource-constrained":[52],"UAV":[53,69,94,169,218],"tasks.":[56],"Therefore,":[57],"it":[58],"is":[59,231],"important":[60],"to":[61,86,121,142,154,201],"construct":[62],"a":[63,78,109],"light-weight":[64,79,110,207],"method":[67,210],"images.":[72,97,172],"With":[73],"this":[74],"motivation,":[75],"we":[76,107,149],"propose":[77],"neural":[80,112],"network":[81,99,113],"model":[82,114,126,178,228],"with":[83,115,222,236],"fewer":[84,116],"parameters":[85,226],"solve":[87],"problem":[89],"The":[98],"adopts":[100],"an":[101],"encoder-decoder":[102],"architecture.":[103],"In":[104,173],"encoder,":[106],"build":[108],"convolutional":[111],"channels":[117,167],"each":[119,182],"layer":[120],"reduce":[122],"number":[124],"parameters.":[127,241],"Then,":[128],"feature":[129],"maps":[130],"different":[132],"scales":[133],"from":[134,160],"encoder":[136],"concatenated":[138],"together":[139],"after":[140],"resizing":[141],"carry":[143],"out":[144],"multiscale":[146],"fusion.":[147],"Moreover,":[148],"employ":[150],"two":[151],"attention":[152],"modules":[153],"capture":[155],"global":[157],"information":[159],"context":[162],"correlation":[165],"among":[166,233],"decoder":[175],"part,":[176],"obtains":[179,211],"predictions":[180],"pixel":[183],"through":[184],"softmax":[186],"function.":[187],"We":[188],"conducted":[189],"experiments":[190],"ISPRS":[193],"Vaihingen":[194],"dataset,":[195,197],"UAVid":[196],"UDD6":[199],"dataset":[200],"verify":[202],"effectiveness":[204],"network.":[208],"Our":[209],"quality":[212],"results":[215],"evaluated":[216],"datasets":[221],"only":[223],"9":[224],"M":[225],"owns,":[229],"competitive":[232],"popular":[234],"same":[238],"level":[239]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":12}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
