{"id":"https://openalex.org/W2981151698","doi":"https://doi.org/10.1109/lgrs.2019.2945546","title":"Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image","display_name":"Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981151698","doi":"https://doi.org/10.1109/lgrs.2019.2945546","mag":"2981151698"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2945546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2945546","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5054256790","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-2913-3515"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2913-3515","affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389892","display_name":"Kang Liu","orcid":"https://orcid.org/0000-0002-2621-925X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Liu","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084097095","display_name":"Yanni Dong","orcid":"https://orcid.org/0000-0003-0592-7887"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanni Dong","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0592-7887","affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014326389","display_name":"Ke Wu","orcid":"https://orcid.org/0000-0001-9692-4221"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wu","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9692-4221","affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004788238","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3623-8304"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyun Hu","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3623-8304","affiliations":[{"raw_affiliation_string":"Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":5.488,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.95998003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"17","issue":"8","first_page":"1440","last_page":"1444"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9800999760627747,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8975417017936707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569961547851562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020444869995117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6797706484794617},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6403900980949402},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6049996018409729},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5929016470909119},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5442885756492615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4880918264389038},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46040499210357666},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4175416827201843}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8975417017936707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569961547851562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020444869995117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6797706484794617},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6403900980949402},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6049996018409729},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5929016470909119},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5442885756492615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4880918264389038},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46040499210357666},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4175416827201843},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2945546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2945546","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3507083598","display_name":null,"funder_award_id":"61822113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3536416248","display_name":null,"funder_award_id":"2018LDE004","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3867327757","display_name":null,"funder_award_id":"61701452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4098424951","display_name":null,"funder_award_id":"2017M612533","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6344611901","display_name":null,"funder_award_id":"CUG170687","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6975197512","display_name":"\u534e\u5357\u5730\u5757\u4e1c\u90e8\u5ca9\u77f3\u5708\u5c5e\u6027\u53ca\u5176\u52a8\u529b\u5b66\u8fc7\u7a0b\u7814\u7a76","funder_award_id":"41630317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7110141412","display_name":null,"funder_award_id":"61801444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7545859506","display_name":null,"funder_award_id":"41871243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8885173874","display_name":null,"funder_award_id":"CUG170617","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1985133440","https://openalex.org/W2001298023","https://openalex.org/W2043665634","https://openalex.org/W2063837453","https://openalex.org/W2092745549","https://openalex.org/W2118246710","https://openalex.org/W2131697388","https://openalex.org/W2136251662","https://openalex.org/W2142012908","https://openalex.org/W2149471024","https://openalex.org/W2153409933","https://openalex.org/W2165049595","https://openalex.org/W2500751094","https://openalex.org/W2504231264","https://openalex.org/W2528211483","https://openalex.org/W2765622256","https://openalex.org/W2790587317","https://openalex.org/W2791969626","https://openalex.org/W2803177391","https://openalex.org/W2807946621","https://openalex.org/W2809328251","https://openalex.org/W2891059222","https://openalex.org/W2898532184","https://openalex.org/W2901397428","https://openalex.org/W2908822724","https://openalex.org/W2914429466","https://openalex.org/W4320339642"],"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/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2046697080"],"abstract_inverted_index":{"With":[0],"the":[1,21,26,30,42,63,75,81,88,98,107,119,138,148],"high":[2],"spectral":[3,82],"resolution,":[4],"hyperspectral":[5],"image":[6,15],"(HSI)":[7],"can":[8,115],"provide":[9],"a":[10,57,143],"wealth":[11],"of":[12,44,84,109],"information":[13],"for":[14,70],"classification.":[16],"Many":[17],"classification":[18,59,94,113,145],"methods":[19],"utilize":[20],"training":[22,46,122],"samples":[23,100,123],"to":[24,37,50,78,96,105],"classify":[25],"ground":[27],"materials.":[28],"However,":[29],"small":[31],"sample":[32],"problem":[33],"is":[34,103],"still":[35],"urgent":[36],"be":[38,116],"solved":[39],"when":[40],"considering":[41],"cost":[43],"labeling":[45],"samples.":[47],"In":[48],"order":[49],"solve":[51],"this":[52,54],"problem,":[53],"letter":[55],"proposes":[56],"semisupervised":[58],"method":[60,73,77,140],"based":[61],"on":[62,130],"simple":[64],"linear":[65],"iterative":[66],"cluster":[67],"(SLIC)":[68],"segmentation":[69],"HSI.":[71,85],"This":[72],"improves":[74],"SLIC":[76],"better":[79,144],"explore":[80],"characteristic":[83],"It":[86],"explores":[87],"learned":[89],"superpixel":[90],"map":[91,95,114],"and":[92,124,133],"initial":[93],"select":[97],"pseudo-labeled":[99],"(PLSs),":[101],"which":[102],"expected":[104],"increase":[106],"effectiveness":[108],"PLSs.":[110,125],"The":[111],"final":[112],"obtained":[117],"with":[118],"integrated":[120],"labeled":[121],"Experiments":[126],"were":[127],"carried":[128],"out":[129],"three":[131],"HSIs,":[132],"it":[134],"was":[135],"founded":[136],"that":[137],"proposed":[139],"generally":[141],"shows":[142],"performance":[146],"than":[147],"other":[149],"methods.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}