{"id":"https://openalex.org/W2884672177","doi":"https://doi.org/10.1109/tgrs.2018.2848725","title":"Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image","display_name":"Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2884672177","doi":"https://doi.org/10.1109/tgrs.2018.2848725","mag":"2884672177"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2848725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2848725","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Weakly_supervised_semantic_segmentation_for_joint_key_local_structure_localization_and_classification_of_aurora_image/20582454","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065193592","display_name":"Chuang Niu","orcid":"https://orcid.org/0000-0002-3310-7803"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Niu","raw_affiliation_strings":["School of Life Science and Technology, Xidian University, Xi\u2019an, China","School of Life Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433042","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-5579-7094"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Department of Radiology, Duke University, Durham, NC, USA"],"raw_orcid":"https://orcid.org/0000-0001-5579-7094","affiliations":[{"raw_affiliation_string":"Department of Radiology, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106698690","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-3819-7369"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3819-7369","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032808299","display_name":"Jimin Liang","orcid":"https://orcid.org/0000-0003-1428-5804"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimin Liang","raw_affiliation_strings":["School of Life Science and Technology, Xidian University, Xi\u2019an, China","School of Life Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1428-5804","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8604,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92055802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"56","issue":"12","first_page":"7133","last_page":"7146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955999851226807,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955999851226807,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11019","display_name":"Image Enhancement Techniques","score":0.9919999837875366,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7516646981239319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113831043243408},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5921077132225037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5873977541923523},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5860109329223633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5707269310951233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5215166211128235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5115026235580444},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43708282709121704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41530823707580566},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12044030427932739},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08641672134399414}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7516646981239319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113831043243408},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5921077132225037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5873977541923523},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5860109329223633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5707269310951233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5215166211128235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5115026235580444},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43708282709121704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41530823707580566},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12044030427932739},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08641672134399414},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2018.2848725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2848725","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/20582454","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Weakly_supervised_semantic_segmentation_for_joint_key_local_structure_localization_and_classification_of_aurora_image/20582454","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20582454","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Weakly_supervised_semantic_segmentation_for_joint_key_local_structure_localization_and_classification_of_aurora_image/20582454","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2021667425","display_name":null,"funder_award_id":"41504115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4863033708","display_name":null,"funder_award_id":"61571353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6743476976","display_name":null,"funder_award_id":"2015JZ019","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G8775590731","display_name":null,"funder_award_id":"2015JQ6223","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320329645","display_name":"Polar Research Institute of China","ror":"https://ror.org/027fn9x30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W162032229","https://openalex.org/W1536680647","https://openalex.org/W1663973292","https://openalex.org/W1783574445","https://openalex.org/W1848073518","https://openalex.org/W1903029394","https://openalex.org/W1975418555","https://openalex.org/W1999478155","https://openalex.org/W2037423504","https://openalex.org/W2047637839","https://openalex.org/W2047838227","https://openalex.org/W2048233688","https://openalex.org/W2059304719","https://openalex.org/W2077790679","https://openalex.org/W2084445849","https://openalex.org/W2085504900","https://openalex.org/W2088049833","https://openalex.org/W2091711928","https://openalex.org/W2102022426","https://openalex.org/W2126430068","https://openalex.org/W2127227486","https://openalex.org/W2133515615","https://openalex.org/W2133572632","https://openalex.org/W2136002239","https://openalex.org/W2137032085","https://openalex.org/W2140457352","https://openalex.org/W2142764230","https://openalex.org/W2151103935","https://openalex.org/W2160966992","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2291422229","https://openalex.org/W2295107390","https://openalex.org/W2312198368","https://openalex.org/W2432905267","https://openalex.org/W2563949017","https://openalex.org/W2585146189","https://openalex.org/W2592021975","https://openalex.org/W2605214291","https://openalex.org/W2769008463","https://openalex.org/W2773368333","https://openalex.org/W2950094539","https://openalex.org/W2963173190","https://openalex.org/W4212863985","https://openalex.org/W6684191040","https://openalex.org/W6736301864"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2106540031","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,45,68,111,129,139],"novel":[6],"weakly":[7],"supervised":[8],"semantic":[9],"segmentation":[10],"(WSSS)":[11],"method":[12,123,157],"that":[13],"uses":[14],"image":[15,95,102],"tags":[16],"as":[17],"supervision":[18],"to":[19,58,78,119],"achieve":[20],"joint":[21],"pixel-level":[22],"localization":[23],"of":[24,33,54,86,88,136,154],"the":[25,34,39,51,60,74,81,93,100,104,108,121,145,152,155,161],"key":[26],"local":[27,133],"structure":[28,53,134],"(KLS)":[29],"and":[30,132],"image-level":[31],"classification":[32],"aurora":[35,55,94,137],"images":[36],"captured":[37],"by":[38],"ground-based":[40],"optical":[41],"all-sky":[42],"imager.":[43],"First,":[44],"patch-scale":[46],"model":[47,70],"(PSM)":[48],"based":[49,90],"on":[50,91,144],"small-scale":[52],"is":[56,71,96],"designed":[57],"identify":[59],"type-specific":[61,76],"regions":[62,77],"for":[63],"each":[64],"training":[65],"image.":[66],"Second,":[67],"region-scale":[69],"trained":[72],"with":[73,128,160],"identified":[75],"coarsely":[79],"localize":[80],"KLS":[82,109,116],"from":[83,117],"multiple":[84],"sizes":[85],"field":[87],"view,":[89],"which":[92],"classified.":[97],"Finally,":[98],"given":[99],"predicted":[101],"type,":[103],"PSM":[105],"further":[106],"refines":[107],"in":[110,138,158],"pixel":[112],"level.":[113],"By":[114],"localizing":[115],"coarse":[118],"fine,":[120],"proposed":[122,156],"captures":[124],"both":[125],"overall":[126],"shape":[127],"bottom-up":[130],"processing":[131],"details":[135],"top-down":[140],"manner.":[141],"Extensive":[142],"experiments":[143],"expert":[146],"labeled":[147],"data":[148],"sets":[149],"have":[150],"demonstrated":[151],"efficacy":[153],"benchmarking":[159],"state-of-the-art":[162],"WSSS":[163],"methods.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
