{"id":"https://openalex.org/W3007536931","doi":"https://doi.org/10.1109/tgrs.2020.2972294","title":"Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification","display_name":"Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3007536931","doi":"https://doi.org/10.1109/tgrs.2020.2972294","mag":"3007536931"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2972294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2972294","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9742-5037","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100546294","display_name":"Xianglong Deng","orcid":"https://orcid.org/0009-0002-2058-5109"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Deng","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038002446","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0002-4056-7787"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Nathan, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5822-8233","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9916-6382","affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1052,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95733292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"58","issue":"7","first_page":"5077","last_page":"5091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9797999858856201,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8757278919219971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7564531564712524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7245479822158813},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6565030217170715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5725694298744202},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5172696709632874},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4705154001712799},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.420784592628479},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4166826009750366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4085007309913635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3788943886756897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33520591259002686}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8757278919219971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7564531564712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7245479822158813},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6565030217170715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5725694298744202},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5172696709632874},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4705154001712799},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.420784592628479},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4166826009750366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4085007309913635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3788943886756897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33520591259002686},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2020.2972294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2972294","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:research-repository.griffith.edu.au:10072/394237","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/394237","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2264764757","display_name":null,"funder_award_id":"61901278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3638989402","display_name":null,"funder_award_id":"41971300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5538422374","display_name":"\u57fa\u4e8e\u7a7a\u8c31\u4e00\u4f53\u5316\u4e8c\u503c\u7f16\u7801\u7684\u8d85\u50cf\u7d20\u7ea7\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u5206\u7c7b\u7814\u7a76","funder_award_id":"61671307","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W38891395","https://openalex.org/W1479807131","https://openalex.org/W1497443639","https://openalex.org/W1522129970","https://openalex.org/W1561442812","https://openalex.org/W1585385982","https://openalex.org/W1756896031","https://openalex.org/W1869398109","https://openalex.org/W1969198379","https://openalex.org/W1998030734","https://openalex.org/W2009286595","https://openalex.org/W2016860790","https://openalex.org/W2048679005","https://openalex.org/W2079057609","https://openalex.org/W2104125540","https://openalex.org/W2107008379","https://openalex.org/W2111975408","https://openalex.org/W2113464037","https://openalex.org/W2118246710","https://openalex.org/W2121169814","https://openalex.org/W2126491576","https://openalex.org/W2135431554","https://openalex.org/W2136504847","https://openalex.org/W2138127867","https://openalex.org/W2138973222","https://openalex.org/W2139823104","https://openalex.org/W2150579376","https://openalex.org/W2152057649","https://openalex.org/W2154455818","https://openalex.org/W2158400785","https://openalex.org/W2160338239","https://openalex.org/W2166338096","https://openalex.org/W2248124113","https://openalex.org/W2340716013","https://openalex.org/W2397572974","https://openalex.org/W2406680892","https://openalex.org/W2545383618","https://openalex.org/W2581808969","https://openalex.org/W2591248827","https://openalex.org/W2612271937","https://openalex.org/W2805465265","https://openalex.org/W2908633847","https://openalex.org/W2948256530","https://openalex.org/W4300952079","https://openalex.org/W6629856084","https://openalex.org/W6635184699","https://openalex.org/W6637875599","https://openalex.org/W6676132248","https://openalex.org/W6680140577","https://openalex.org/W6680434193","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"As":[0],"a":[1,81,130,144,165],"typical":[2],"graph-based":[3],"semisupervised":[4],"learning":[5],"technique,":[6],"the":[7,25,31,36,53,62,73,107,113,120,138,154,162,173,177,185,193,216,221],"label":[8,175,186],"propagation":[9,26],"(LP)":[10],"approach":[11],"has":[12],"gained":[13],"much":[14],"attention":[15],"in":[16],"recent":[17],"years.":[18],"The":[19],"key":[20],"to":[21,84,136,171,192],"LP":[22,63,97,167,223],"algorithms":[23],"is":[24,57,65,110,134,169],"capability":[27],"and":[28,60,119,143,206,218],"efficiency":[29,219],"of":[30,49,51,77,123,187,220],"similarity":[32,37,55,132,139,146],"matrix,":[33],"which":[34,45,69],"describes":[35],"between":[38,140],"two":[39,141],"data":[40,213],"points.":[41],"Concerning":[42],"hyperspectral":[43,103,108,212],"image":[44,104,109],"often":[46],"contains":[47],"hundreds":[48],"thousands":[50],"pixels,":[52],"corresponding":[54],"matrix":[56,147],"particularly":[58],"huge":[59],"thus":[61,150],"procedure":[64],"intractable.":[66],"Fortunately,":[67],"superpixel,":[68],"can":[70,126,148],"effectively":[71],"characterize":[72],"spatial":[74],"semantic":[75],"information":[76],"surface":[78],"objects,":[79],"provides":[80],"reasonable":[82],"way":[83],"solve":[85],"this":[86,89],"problem.":[87],"In":[88],"article,":[90],"we":[91],"propose":[92],"an":[93],"elaborate":[94],"superpixel-based":[95,145],"weighted":[96,166],"approach,":[98],"abbreviated":[99],"as":[100],"SuWLP,":[101],"for":[102],"classification.":[105],"First,":[106],"oversegmented":[111],"by":[112],"entropy":[114],"rate":[115],"segmentation":[116],"(ERS)":[117],"method,":[118],"internal":[121],"consistency":[122],"each":[124,188],"superpixel":[125,163,178,189],"be":[127,149],"achieved.":[128],"Second,":[129],"new":[131],"measure":[133],"designed":[135,170],"estimate":[137],"superpixels,":[142],"established.":[151],"Third,":[152],"after":[153],"training":[155],"samples":[156],"have":[157],"been":[158],"expanded":[159],"based":[160],"on":[161,209],"distribution,":[164],"technique":[168],"propagate":[172],"sample":[174],"at":[176],"level":[179],"without":[180],"any":[181],"parameter":[182],"tuning.":[183],"Finally,":[184],"maps":[190],"back":[191],"contained":[194],"pixels.":[195],"We":[196],"compared":[197],"our":[198],"proposed":[199],"SuWLP":[200],"method":[201],"with":[202],"several":[203],"state-of-the-art":[204],"ones,":[205],"experimental":[207],"results":[208],"three":[210],"real":[211],"sets":[214],"certify":[215],"effectiveness":[217],"superpixel-level":[222],"strategy.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}