{"id":"https://openalex.org/W3210646956","doi":"https://doi.org/10.3390/rs13214201","title":"SGA-Net: Self-Constructing Graph Attention Neural Network for Semantic Segmentation of Remote Sensing Images","display_name":"SGA-Net: Self-Constructing Graph Attention Neural Network for Semantic Segmentation of Remote Sensing Images","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3210646956","doi":"https://doi.org/10.3390/rs13214201","mag":"3210646956"},"language":"en","primary_location":{"id":"doi:10.3390/rs13214201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214201","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4201/pdf?version=1635151823","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/2072-4292/13/21/4201/pdf?version=1635151823","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062367314","display_name":"Wenjie Zi","orcid":"https://orcid.org/0009-0001-1974-4822"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zi","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052968920","display_name":"Wei Xiong","orcid":"https://orcid.org/0000-0002-2160-9953"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353589","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-7880-3394"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0000-0002-7880-3394","affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361625","display_name":"Jun Li","orcid":"https://orcid.org/0000-0001-5845-8602"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ning Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Jing","raw_affiliation_strings":["Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Communication, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100353589"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.8162,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86167441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":"21","first_page":"4201","last_page":"4201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973999857902527,"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":0.9947999715805054,"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":0.8453288078308105},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.713088870048523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647136926651001},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5959317088127136},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5608387589454651},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5600268244743347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5562345385551453},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5361784100532532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4893169105052948},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4485829174518585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43012726306915283},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08492356538772583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8453288078308105},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.713088870048523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647136926651001},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5959317088127136},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5608387589454651},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5600268244743347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5562345385551453},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5361784100532532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4893169105052948},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4485829174518585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43012726306915283},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08492356538772583},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13214201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214201","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4201/pdf?version=1635151823","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:02f707f793094988899e14798dc514e2","is_oa":true,"landing_page_url":"https://doaj.org/article/02f707f793094988899e14798dc514e2","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":"Remote Sensing, Vol 13, Iss 21, p 4201 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/21/4201/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13214201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 21; Pages: 4201","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13214201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214201","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4201/pdf?version=1635151823","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":[{"id":"https://openalex.org/G4282415395","display_name":null,"funder_award_id":"U19A2058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5980411448","display_name":"\u57fa\u4e8e\u8fb9\u7f18\u8ba1\u7b97\u6a21\u5f0f\u7684\u65f6\u7a7a\u805a\u96c6\u8fd1\u4f3c\u8ba1\u7b97\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G623612507","display_name":"\u4e1c\u5317\u519c\u7530\u533a\u79ef\u96ea\u6f14\u5316\u8fc7\u7a0b\u53ca\u5176\u5fae\u6ce2\u8f90\u5c04\u7279\u6027\u7814\u7a76","funder_award_id":"41871248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G853204753","display_name":null,"funder_award_id":"41871248, 41971362, U19A2058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8758988284","display_name":null,"funder_award_id":"2020JJ3042","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210646956.pdf","grobid_xml":"https://content.openalex.org/works/W3210646956.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2522861252","https://openalex.org/W2601564443","https://openalex.org/W2618530766","https://openalex.org/W2624431344","https://openalex.org/W2776622059","https://openalex.org/W2884585870","https://openalex.org/W2903871660","https://openalex.org/W2904378456","https://openalex.org/W2904910963","https://openalex.org/W2921781974","https://openalex.org/W2946829651","https://openalex.org/W2952524552","https://openalex.org/W2955058313","https://openalex.org/W2963076818","https://openalex.org/W2963881378","https://openalex.org/W2964112830","https://openalex.org/W2964194231","https://openalex.org/W2966702270","https://openalex.org/W2969285432","https://openalex.org/W2979750740","https://openalex.org/W2982608875","https://openalex.org/W2990371274","https://openalex.org/W2998367975","https://openalex.org/W2999145841","https://openalex.org/W3001997540","https://openalex.org/W3034345703","https://openalex.org/W3034792612","https://openalex.org/W3036843520","https://openalex.org/W3082034060","https://openalex.org/W3101397996","https://openalex.org/W3118301015","https://openalex.org/W3120557619","https://openalex.org/W3121898985","https://openalex.org/W3128280133","https://openalex.org/W3152893301","https://openalex.org/W3165935199","https://openalex.org/W3185767187","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6747904511","https://openalex.org/W6754884518","https://openalex.org/W6755002340","https://openalex.org/W6772142466","https://openalex.org/W7024286662"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,30],"of":[2,54,63,77,90,92,107,113],"remote":[3,64,94,135],"sensing":[4,65,95,136],"images":[5],"is":[6,42,84],"always":[7],"a":[8,35,46,55,80],"critical":[9],"and":[10,79,121],"challenging":[11],"task.":[12],"Graph":[13],"neural":[14,40],"networks,":[15],"which":[16],"can":[17,22],"capture":[18],"global":[19],"contextual":[20],"representations,":[21],"exploit":[23],"long-range":[24],"pixel":[25],"dependency,":[26],"thereby":[27],"improving":[28,110],"semantic":[29,114],"performance.":[31],"In":[32],"this":[33],"paper,":[34],"novel":[36],"self-constructing":[37],"graph":[38,81],"attention":[39,82,101],"network":[41,58,83],"proposed":[43,125],"for":[44],"such":[45],"purpose.":[47],"Firstly,":[48],"ResNet50":[49],"was":[50],"employed":[51],"as":[52],"backbone":[53],"feature":[56,61,75],"extraction":[57],"to":[59,86],"acquire":[60],"maps":[62,76],"images.":[66,96],"Secondly,":[67],"pixel-wise":[68],"dependency":[69,106],"graphs":[70],"were":[71],"constructed":[72],"from":[73],"the":[74,88,93,98,104,111,124],"images,":[78,108],"designed":[85],"extract":[87],"correlations":[89],"pixels":[91],"Thirdly,":[97],"channel":[99,105],"linear":[100],"mechanism":[102],"obtained":[103],"further":[109],"prediction":[112],"segmentation.":[115],"Lastly,":[116],"we":[117],"conducted":[118],"comprehensive":[119],"experiments":[120],"found":[122],"that":[123],"model":[126],"consistently":[127],"outperformed":[128],"state-of-the-art":[129],"methods":[130],"on":[131],"two":[132],"widely":[133],"used":[134],"image":[137],"datasets.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}