{"id":"https://openalex.org/W4391956292","doi":"https://doi.org/10.3390/rs16050738","title":"Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion","display_name":"Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391956292","doi":"https://doi.org/10.3390/rs16050738"},"language":"en","primary_location":{"id":"doi:10.3390/rs16050738","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050738","pdf_url":"https://www.mdpi.com/2072-4292/16/5/738/pdf?version=1708425206","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/5/738/pdf?version=1708425206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036955242","display_name":"Weixun Zhou","orcid":"https://orcid.org/0000-0002-3270-7268"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weixun Zhou","raw_affiliation_strings":["School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017619141","display_name":"Yongxin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Shi","raw_affiliation_strings":["School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060706069","display_name":"Xiao Huang","orcid":"https://orcid.org/0000-0002-4323-382X"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["Department of Environmental Sciences, Emory University, Atlanta, GA 30322, USA"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Sciences, Emory University, Atlanta, GA 30322, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036955242"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2016,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88283262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"5","first_page":"738","last_page":"738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926999807357788,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9829000234603882,"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/computer-science","display_name":"Computer science","score":0.5551995038986206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5035271048545837},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4672175645828247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4534204304218292},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3836972415447235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551995038986206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5035271048545837},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4672175645828247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4534204304218292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3836972415447235},{"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":2,"locations":[{"id":"doi:10.3390/rs16050738","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050738","pdf_url":"https://www.mdpi.com/2072-4292/16/5/738/pdf?version=1708425206","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6404d3fe56b24ceb943f637b2e3f635f","is_oa":true,"landing_page_url":"https://doaj.org/article/6404d3fe56b24ceb943f637b2e3f635f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 5, p 738 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16050738","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050738","pdf_url":"https://www.mdpi.com/2072-4292/16/5/738/pdf?version=1708425206","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G654205184","display_name":null,"funder_award_id":"2023YFB3906103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7209973739","display_name":null,"funder_award_id":"OFSLRSS202215","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7552831942","display_name":null,"funder_award_id":"KYCX23_1377","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8676609639","display_name":null,"funder_award_id":"Jiangsu","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391956292.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W946771493","https://openalex.org/W2109565719","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2479919622","https://openalex.org/W2607558879","https://openalex.org/W2613571842","https://openalex.org/W2619383789","https://openalex.org/W2620179114","https://openalex.org/W2620429297","https://openalex.org/W2620858446","https://openalex.org/W2727875856","https://openalex.org/W2746325398","https://openalex.org/W2783165089","https://openalex.org/W2791924394","https://openalex.org/W2806471870","https://openalex.org/W2890732922","https://openalex.org/W2912089046","https://openalex.org/W2948329096","https://openalex.org/W2962217138","https://openalex.org/W3015371551","https://openalex.org/W3022140654","https://openalex.org/W3037355691","https://openalex.org/W3093965839","https://openalex.org/W3118513496","https://openalex.org/W3214907058","https://openalex.org/W4206379874","https://openalex.org/W4210404147","https://openalex.org/W4210958248","https://openalex.org/W4226285265","https://openalex.org/W4320919426","https://openalex.org/W4324067083","https://openalex.org/W4389104749","https://openalex.org/W4389104899","https://openalex.org/W4390691920","https://openalex.org/W4391307079","https://openalex.org/W6780663757"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Leveraging":[0],"multi-view":[1,27,68,113,129,144,164,175,307],"remote":[2,60,90,120,130,258,308],"sensing":[3,61,91,121,131,259,309],"images":[4,62,92,132,176],"in":[5,247,262],"scene":[6,72,122,165,301,310,317],"classification":[7,45,73,166,251,302,311],"tasks":[8],"significantly":[9,218],"enhances":[10],"the":[11,23,36,44,50,56,65,83,87,99,134,143,153,163,174,213,220,236,245,248,254,269,277,286,316,320,324],"precision":[12],"of":[13,26,52,67,89,136,256,276,323],"such":[14],"classifications.":[15],"This":[16,241],"approach,":[17],"however,":[18],"poses":[19],"challenges":[20],"due":[21],"to":[22,32,85,94,193,207,212],"simultaneous":[24],"use":[25],"images,":[28],"which":[29,81],"often":[30],"leads":[31],"a":[33,110,265],"misalignment":[34],"between":[35],"visual":[37],"content":[38],"and":[39,139,141,155,159,235,288,318],"semantic":[40],"labels,":[41],"thus":[42],"complicating":[43],"process.":[46,252,326],"In":[47],"addition,":[48],"as":[49],"number":[51],"image":[53,69,137,145,250,260],"viewpoints":[54],"increases,":[55],"quality":[57,88],"problem":[58],"for":[59,98,119,162,268],"further":[63],"limits":[64],"effectiveness":[66],"classification.":[70,123],"Traditional":[71],"methods":[74],"predominantly":[75],"employ":[76],"SoftMax":[77],"deep":[78],"learning":[79],"techniques,":[80],"lack":[82],"capability":[84],"assess":[86],"or":[93],"provide":[95],"explicit":[96],"explanations":[97],"network\u2019s":[100],"predictive":[101],"outcomes.":[102],"To":[103],"address":[104],"these":[105,196],"issues,":[106],"this":[107,263],"paper":[108],"introduces":[109],"novel":[111],"end-to-end":[112],"decision":[114,228],"fusion":[115,146,188,202,229,325],"network":[116,125],"specifically":[117],"designed":[118],"The":[124,274,291],"integrates":[126],"information":[127,261],"from":[128,173],"under":[133],"guidance":[135],"credibility":[138],"uncertainty,":[140],"when":[142],"process":[147],"encounters":[148],"conflicts,":[149],"it":[150],"greatly":[151],"alleviates":[152],"conflicts":[154],"provides":[156],"more":[157],"reasonable":[158],"credible":[160],"predictions":[161],"results.":[167],"Initially,":[168],"multi-scale":[169,197,214],"features":[170],"are":[171],"extracted":[172],"using":[177],"convolutional":[178],"neural":[179],"networks":[180],"(CNNs).":[181],"Following":[182],"this,":[183],"an":[184,226],"asymptotic":[185],"adaptive":[186,200],"feature":[187,215,222],"module":[189,230,242],"(AAFFM)":[190],"is":[191,204,239,272],"constructed":[192],"gradually":[194],"integrate":[195],"features.":[198],"An":[199],"spatial":[201,210],"method":[203,279,296],"then":[205],"applied":[206],"assign":[208],"different":[209],"weights":[211],"maps,":[216],"thereby":[217],"enhancing":[219],"model\u2019s":[221],"discrimination":[223],"capability.":[224],"Finally,":[225],"evidence":[227,233],"(EDFM),":[231],"utilizing":[232],"theory":[234],"Dirichlet":[237],"distribution,":[238],"developed.":[240],"quantitatively":[243],"assesses":[244],"uncertainty":[246],"multi-perspective":[249,257],"Through":[253],"fusing":[255],"module,":[264],"rational":[266],"explanation":[267],"prediction":[270],"results":[271,292,303,312],"provided.":[273],"efficacy":[275],"proposed":[278],"was":[280],"validated":[281],"through":[282],"experiments":[283],"conducted":[284],"on":[285],"AiRound":[287],"CV-BrCT":[289],"datasets.":[290],"show":[293],"that":[294],"our":[295],"not":[297],"only":[298],"improves":[299],"single-view":[300],"but":[304],"also":[305],"advances":[306],"by":[313],"accurately":[314],"characterizing":[315],"mitigating":[319],"conflicting":[321],"nature":[322]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
