{"id":"https://openalex.org/W4409019631","doi":"https://doi.org/10.1109/tcsvt.2025.3556548","title":"PFS3F: Probabilistic Fusion of Superpixel-Wise and Semantic-Aware Structural Features for Hyperspectral Image Classification","display_name":"PFS3F: Probabilistic Fusion of Superpixel-Wise and Semantic-Aware Structural Features for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4409019631","doi":"https://doi.org/10.1109/tcsvt.2025.3556548"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3556548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3556548","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101658227","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-3972-3316"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["College of Railway Transportation, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Railway Transportation, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036534306","display_name":"Lianhui Liang","orcid":"https://orcid.org/0000-0001-6958-0443"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhui Liang","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"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":"Jun Li","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences, Wuhan, China","the School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"the School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain","Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, ´ University of Extremadura, Caceres, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, ´ University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101658227"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":null,"apc_paid":null,"fwci":24.9826,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.99575999,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"9","first_page":"8723","last_page":"8737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.98580002784729,"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":0.98580002784729,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9679999947547913,"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/T10057","display_name":"Face and Expression Recognition","score":0.9186999797821045,"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":0.7536929845809937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7100788950920105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.658446192741394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495527625083923},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5567104816436768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47660818696022034},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4720628559589386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44512367248535156},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41782698035240173},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41003862023353577}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7536929845809937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7100788950920105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.658446192741394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495527625083923},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5567104816436768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47660818696022034},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4720628559589386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44512367248535156},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41782698035240173},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41003862023353577},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3556548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3556548","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1580614289","display_name":null,"funder_award_id":"No. 62205371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G461259047","display_name":null,"funder_award_id":"62205371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5493352405","display_name":null,"funder_award_id":"No. 62371185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5921931442","display_name":null,"funder_award_id":"62371185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6716103886","display_name":null,"funder_award_id":"T2225019","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":63,"referenced_works":["https://openalex.org/W206024","https://openalex.org/W1939429412","https://openalex.org/W1964325474","https://openalex.org/W1976047850","https://openalex.org/W1985973695","https://openalex.org/W2004104348","https://openalex.org/W2018482939","https://openalex.org/W2052160904","https://openalex.org/W2073827457","https://openalex.org/W2095975892","https://openalex.org/W2103094532","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2135431554","https://openalex.org/W2136251662","https://openalex.org/W2141957843","https://openalex.org/W2152057649","https://openalex.org/W2153635508","https://openalex.org/W2157621128","https://openalex.org/W2405835588","https://openalex.org/W2496621835","https://openalex.org/W2500751094","https://openalex.org/W2518831014","https://openalex.org/W2605006852","https://openalex.org/W2751810713","https://openalex.org/W2754507318","https://openalex.org/W2761917471","https://openalex.org/W2766528611","https://openalex.org/W2767805377","https://openalex.org/W2808776742","https://openalex.org/W2809635958","https://openalex.org/W2909479956","https://openalex.org/W2937638900","https://openalex.org/W2947058136","https://openalex.org/W2950325582","https://openalex.org/W2978620371","https://openalex.org/W3046027728","https://openalex.org/W3049655825","https://openalex.org/W3119311349","https://openalex.org/W3126760591","https://openalex.org/W3192615824","https://openalex.org/W3204731106","https://openalex.org/W4205971629","https://openalex.org/W4225630686","https://openalex.org/W4280563105","https://openalex.org/W4296339430","https://openalex.org/W4312569333","https://openalex.org/W4312899742","https://openalex.org/W4378194596","https://openalex.org/W4379659754","https://openalex.org/W4391092640","https://openalex.org/W4391547501","https://openalex.org/W4393906060","https://openalex.org/W4394008640","https://openalex.org/W4400903750","https://openalex.org/W4401379732","https://openalex.org/W4401692054","https://openalex.org/W4403060848","https://openalex.org/W4403420308","https://openalex.org/W4404479756","https://openalex.org/W4404847745","https://openalex.org/W4409537021"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Processing":[0],"high-dimensional":[1],"data":[2],"cubes":[3],"and":[4,34,45,61,134,174],"developing":[5],"high-performance":[6],"classifiers":[7],"are":[8,21,81,150],"core":[9],"objectives":[10],"in":[11,24,30,42,55,96,99],"the":[12,56,62,72,92,120,139,167],"field":[13],"of":[14,47,75,119,156,170],"hyperspectral":[15,48],"image":[16,93],"classification":[17,73,100,186],"(HSIC).":[18],"Superpixel-based":[19],"methods":[20,86],"widely":[22],"used":[23],"HSIC":[25],"due":[26],"to":[27,53,165],"their":[28],"efficacy":[29],"reducing":[31],"redundant":[32],"information":[33,125,155,173],"enhancing":[35],"local":[36],"features.":[37,177],"However,":[38],"imprecise":[39],"segmentation,":[40],"especially":[41],"complex":[43],"structures":[44],"textures":[46],"images":[49],"(HSIs),":[50],"may":[51],"lead":[52],"inconsistencies":[54,69],"regions":[57],"extracted":[58,127,151],"by":[59,128,138],"superpixels":[60],"boundaries":[63],"between":[64],"different":[65,157],"ground":[66],"objects.":[67,158],"Such":[68],"significantly":[70],"degrade":[71],"performance":[74],"HSIs.":[76],"Alternatively,":[77],"when":[78],"parameter":[79],"settings":[80],"inaccurate,":[82],"edge-aware":[83],"feature":[84],"extraction":[85],"often":[87],"introduce":[88],"sharpening":[89],"artifacts":[90],"at":[91],"boundaries,":[94],"resulting":[95],"a":[97,109,129,160],"decrease":[98],"accuracy.":[101],"To":[102],"effectively":[103],"address":[104],"these":[105],"challenges,":[106],"we":[107],"propose":[108],"novel":[110],"probabilistic":[111,161],"fusion":[112],"method":[113,117,133],"for":[114],"HSIC.":[115],"This":[116],"consists":[118],"following":[121],"stages.":[122],"First,":[123],"spatial":[124,172],"is":[126,163],"multiscale":[130],"superpixel":[131],"segmentation":[132],"then":[135],"probabilistically":[136],"optimized":[137],"extended":[140],"random":[141],"walk":[142],"(ERW)":[143],"method.":[144],"Next,":[145],"semantic-aware":[146,175],"structural":[147,176],"features":[148],"(S2Fs)":[149],"along":[152],"with":[153,189],"edge":[154],"Lastly,":[159],"framework":[162],"proposed":[164],"fuse":[166],"class":[168],"probabilities":[169],"superpixel-based":[171],"Experimental":[178],"results":[179],"on":[180],"three":[181],"real":[182],"datasets":[183],"show":[184],"state-of-the-art":[185],"performance,":[187],"even":[188],"limited":[190],"training":[191],"sets.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}