{"id":"https://openalex.org/W3130103799","doi":"https://doi.org/10.1109/igarss39084.2020.9324723","title":"Light-Weight Attention Semantic Segmentation Network for High-Resolution Remote Sensing Images","display_name":"Light-Weight Attention Semantic Segmentation Network for High-Resolution Remote Sensing Images","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130103799","doi":"https://doi.org/10.1109/igarss39084.2020.9324723","mag":"3130103799"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072432276","display_name":"Changtao He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changtao He","raw_affiliation_strings":["Sichuan Jiuzhou Eletric Group Co., Ltd,Mianyang,P.R. China","Sichuan Jiuzhou Eletric Group Co., Ltd, Mianyang, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Jiuzhou Eletric Group Co., Ltd,Mianyang,P.R. China","institution_ids":[]},{"raw_affiliation_string":"Sichuan Jiuzhou Eletric Group Co., Ltd, Mianyang, P.R. China","institution_ids":[]}]},{"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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610198","display_name":"Yijie Zhang","orcid":"https://orcid.org/0000-0003-1594-1789"},"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":"Yijie Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9789,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79091511,"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":"2595","last_page":"2598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.8325517177581787},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7281861305236816},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.707821786403656},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5792804956436157},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.568798303604126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5164982676506042},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4738260507583618},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4403625726699829},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4330734610557556},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4330497980117798},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4260818362236023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35696661472320557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33709460496902466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32642364501953125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8325517177581787},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7281861305236816},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.707821786403656},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5792804956436157},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.568798303604126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5164982676506042},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4738260507583618},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4403625726699829},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4330734610557556},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4330497980117798},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4260818362236023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35696661472320557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33709460496902466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32642364501953125},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G61891014","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u65f6\u7a7a\u5c42\u7ea7\u6a21\u578b\u7684\u4eba\u4f53\u6d3b\u52a8\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671125","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":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2194775991","https://openalex.org/W2241051737","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2780740184","https://openalex.org/W2793461576","https://openalex.org/W2937630784","https://openalex.org/W2955058313","https://openalex.org/W2955425717","https://openalex.org/W2963378109","https://openalex.org/W2963881378","https://openalex.org/W6639780620"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,67],"of":[2,30,68,75,85,91,102],"high-resolution":[3],"remote":[4],"sensing":[5],"(HRRS)":[6],"images":[7],"becomes":[8],"more":[9,11],"and":[10,33,73,140],"important":[12],"at":[13],"present.":[14],"Popular":[15],"approaches":[16],"use":[17],"deep":[18],"learning":[19],"to":[20,87,113,163],"solve":[21],"this":[22,55],"task,":[23],"which":[24,80],"depends":[25],"on":[26,155],"a":[27,59,82],"large":[28],"amount":[29],"labeled":[31,42],"data":[32,43],"powerful":[34],"computing":[35,38],"resources.":[36],"When":[37],"resources":[39],"or":[40],"the":[41,76,89,106,121,126,128,134,145],"are":[44,78,108],"insufficient,":[45],"their":[46],"performance":[47],"will":[48],"be":[49],"severely":[50],"degraded.":[51],"To":[52,119],"deal":[53],"with":[54,62,159],"problem,":[56],"we":[57],"proposed":[58],"light-weight":[60,149],"network":[61,77,94,150],"attention":[63,129],"modules":[64],"for":[65],"semantic":[66,123],"HRRS":[69],"images.":[70],"The":[71,93,99],"depth":[72],"width":[74],"designed,":[79],"has":[81,151],"small":[83],"number":[84],"parameters":[86,144,161],"ensure":[88],"efficiency":[90],"training.":[92],"adopts":[95],"an":[96],"encoder-decoder":[97],"architecture.":[98],"feature":[100,117],"maps":[101],"different":[103],"scales":[104],"from":[105,125],"encoder":[107],"concatenated":[109],"together":[110],"after":[111],"resizing":[112],"carry":[114],"out":[115],"multi-scale":[116],"fusion.":[118],"capture":[120],"global":[122],"information":[124],"context,":[127],"mechanism":[130],"is":[131],"employed":[132],"in":[133],"decoder.":[135],"With":[136],"one":[137],"GTX2080Ti":[138],"GPU":[139],"only":[141],"15":[142],"MB":[143],"model":[146],"owns,":[147],"our":[148],"quality":[152],"results":[153],"evaluated":[154],"ISPRS":[156],"Vaihingen":[157],"Dataset":[158],"fewer":[160],"compared":[162],"other":[164],"popular":[165],"approaches.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}