{"id":"https://openalex.org/W2344430579","doi":"https://doi.org/10.1109/jstars.2016.2522564","title":"Feature Extraction of Hyperspectral Images With Semisupervised Graph Learning","display_name":"Feature Extraction of Hyperspectral Images With Semisupervised Graph Learning","publication_year":2016,"publication_date":"2016-02-19","ids":{"openalex":"https://openalex.org/W2344430579","doi":"https://doi.org/10.1109/jstars.2016.2522564","mag":"2344430579"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2522564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2522564","pdf_url":null,"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":false,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079715088","display_name":"Renbo Luo","orcid":"https://orcid.org/0000-0002-4262-5506"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["BE","CN"],"is_corresponding":false,"raw_author_name":"Renbo Luo","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015582924","display_name":"Wenzhi Liao","orcid":"https://orcid.org/0000-0002-2183-0324"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wenzhi Liao","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031729932","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-5625-0338"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["the School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102215934","display_name":"Youguo Pi","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youguo Pi","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":8.0031,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97634396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"9","first_page":"4389","last_page":"4399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9758999943733215,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9733999967575073,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8452017307281494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7825472354888916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7515947818756104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.709844172000885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6349099278450012},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6161969900131226},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5033354163169861},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4183975160121918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.05851733684539795}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8452017307281494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7825472354888916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7515947818756104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.709844172000885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349099278450012},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6161969900131226},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5033354163169861},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4183975160121918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.05851733684539795},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2016.2522564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2522564","pdf_url":null,"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":false,"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:archive.ugent.be:7064956","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/7064956","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1939-1404","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2994969381","display_name":"Data fusion for image analysis in remote sensing","funder_award_id":"G037115N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W194524482","https://openalex.org/W1564277727","https://openalex.org/W1590594428","https://openalex.org/W1617570115","https://openalex.org/W1770825568","https://openalex.org/W1969204685","https://openalex.org/W1974398971","https://openalex.org/W1976359033","https://openalex.org/W1990331482","https://openalex.org/W2008847349","https://openalex.org/W2010642165","https://openalex.org/W2030476695","https://openalex.org/W2035168298","https://openalex.org/W2041100636","https://openalex.org/W2041478093","https://openalex.org/W2041785029","https://openalex.org/W2043665634","https://openalex.org/W2044439250","https://openalex.org/W2063102607","https://openalex.org/W2064886835","https://openalex.org/W2088780712","https://openalex.org/W2098057602","https://openalex.org/W2103250033","https://openalex.org/W2109531142","https://openalex.org/W2118796925","https://openalex.org/W2119363183","https://openalex.org/W2129149445","https://openalex.org/W2135346934","https://openalex.org/W2142012908","https://openalex.org/W2145239980","https://openalex.org/W2146987667","https://openalex.org/W2148603752","https://openalex.org/W2152322845","https://openalex.org/W2153409933","https://openalex.org/W2154872931","https://openalex.org/W2163584563","https://openalex.org/W2169073444","https://openalex.org/W2171171329","https://openalex.org/W2171500336","https://openalex.org/W2319892480","https://openalex.org/W3014771378","https://openalex.org/W4320339642","https://openalex.org/W6647800338","https://openalex.org/W6675955514","https://openalex.org/W6676189307","https://openalex.org/W6681404832","https://openalex.org/W6682644385","https://openalex.org/W6684897833","https://openalex.org/W6700271401","https://openalex.org/W7010424993"],"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/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,26,74],"semisupervised":[3,27,49],"graph":[4,28],"learning":[5],"(SEGL)":[6],"method":[7,22,134],"for":[8],"feature":[9,139],"extraction":[10,140],"of":[11,80,118,132],"hyperspectral":[12,126],"remote":[13],"sensing":[14],"imagery":[15],"in":[16],"this":[17],"paper.":[18],"The":[19],"proposed":[20,100],"SEGL":[21,101],"aims":[23],"to":[24,56,93,115,136],"build":[25],"that":[29],"can":[30],"maximize":[31],"the":[32,37,70,85,99,104,116,130],"class":[33],"discrimination":[34],"and":[35,44,60,77,107],"preserve":[36],"local":[38],"neighborhood":[39,66,96],"information":[40,59],"by":[41,63,111],"combining":[42],"labeled":[43,53,78,90],"unlabeled":[45,61,75,86],"samples.":[46,120],"In":[47],"our":[48,133],"graph,":[50],"we":[51,83],"connect":[52,84],"samples":[54,62,79,91],"according":[55],"their":[57,64],"label":[58],"nearest":[65,95],"information.":[67],"By":[68],"sorting":[69],"mean":[71],"distance":[72],"between":[73,109],"sample":[76,87],"each":[81],"class,":[82],"with":[88],"all":[89],"belonging":[92],"its":[94],"class.":[97],"Moreover,":[98],"better":[102],"models":[103],"actual":[105],"differences":[106],"similarities":[108],"samples,":[110],"setting":[112],"different":[113],"weights":[114],"edges":[117],"connected":[119],"Experimental":[121],"results":[122],"on":[123],"four":[124],"real":[125],"images":[127],"(HSIs)":[128],"demonstrate":[129],"advantages":[131],"compared":[135],"some":[137],"related":[138],"methods.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
