{"id":"https://openalex.org/W4391407045","doi":"https://doi.org/10.1109/tmm.2024.3360717","title":"Reinforcement Learning Based Markov Edge Decoupled Fusion Network for Fusion Classification of Hyperspectral and LiDAR","display_name":"Reinforcement Learning Based Markov Edge Decoupled Fusion Network for Fusion Classification of Hyperspectral and LiDAR","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391407045","doi":"https://doi.org/10.1109/tmm.2024.3360717"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3360717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3360717","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5100427190","display_name":"Haoyu Wang","orcid":"https://orcid.org/0000-0002-8905-822X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8905-822X","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850531","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0002-7487-2544"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7487-2544","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Xuzhou Key Laboratory of Artificial Intelligence and Big Data, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":3.8631,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94938274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"7174","last_page":"7187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8773999810218811,"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/T10057","display_name":"Face and Expression Recognition","score":0.8773999810218811,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.8137000203132629,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.7773000001907349,"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/computer-science","display_name":"Computer science","score":0.7800925374031067},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7011632323265076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6686254739761353},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6583784818649292},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6274593472480774},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6024864912033081},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5038115382194519},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49749210476875305},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.49645859003067017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4781683087348938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40577155351638794},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14510515332221985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800925374031067},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7011632323265076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6686254739761353},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6583784818649292},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6274593472480774},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6024864912033081},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5038115382194519},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49749210476875305},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.49645859003067017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4781683087348938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40577155351638794},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14510515332221985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/tmm.2024.3360717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3360717","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1584331651","display_name":null,"funder_award_id":"2023M733757","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4358952723","display_name":null,"funder_award_id":"62303468","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4756161396","display_name":null,"funder_award_id":"62176259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4823360002","display_name":null,"funder_award_id":"62373364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6172900300","display_name":null,"funder_award_id":"62303469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6564810048","display_name":null,"funder_award_id":"BK20221112","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8542357367","display_name":null,"funder_award_id":"BK20221116","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1976416886","https://openalex.org/W2320846209","https://openalex.org/W2519420704","https://openalex.org/W2765889263","https://openalex.org/W2890133123","https://openalex.org/W2923136550","https://openalex.org/W2956367483","https://openalex.org/W3004480865","https://openalex.org/W3004968762","https://openalex.org/W3016244469","https://openalex.org/W3016410830","https://openalex.org/W3030921250","https://openalex.org/W3033482004","https://openalex.org/W3047443805","https://openalex.org/W3081753142","https://openalex.org/W3103695279","https://openalex.org/W3105997607","https://openalex.org/W3120660573","https://openalex.org/W3121000959","https://openalex.org/W3136140595","https://openalex.org/W3163460434","https://openalex.org/W3165209762","https://openalex.org/W3191036819","https://openalex.org/W3199313681","https://openalex.org/W3203828328","https://openalex.org/W3209540366","https://openalex.org/W4200068923","https://openalex.org/W4207039831","https://openalex.org/W4226467560","https://openalex.org/W4280563105","https://openalex.org/W4285124347","https://openalex.org/W4285134520","https://openalex.org/W4285507497","https://openalex.org/W4312208437","https://openalex.org/W4312339456","https://openalex.org/W4312592451","https://openalex.org/W4312989292"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W3034375524"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"and":[3,6,12,24,29,66,69,101,173,206,209,224,235],"light":[4],"detection":[5],"ranging":[7],"(LiDAR)":[8],"are":[9,74],"two":[10,38],"critical":[11],"frequently":[13],"used":[14],"types":[15],"of":[16,36,46,57,123,177,241],"remote":[17],"sensing":[18],"data,":[19],"each":[20,178],"containing":[21],"rich":[22],"spectral":[23],"elevation":[25],"information.":[26],"Fusing":[27],"HSI":[28,234],"LiDAR":[30,236],"can":[31,92,110],"exploit":[32],"the":[33,37,55,67,79,175,182,188,192,211,219,239,242],"complementary":[34,121],"properties":[35],"modalities":[39,73,223],"for":[40,144],"ground":[41],"object":[42],"classification.":[43],"The":[44,227],"performance":[45],"existing":[47],"fusion":[48,85,116,195,246],"classification":[49,117,145,247],"methods":[50],"is":[51,88,134,163,198],"often":[52],"limited":[53],"by":[54,147,217],"difficulty":[56],"adapting":[58],"feature":[59,221],"extraction":[60],"operators":[61],"to":[62,103,105,114,136,165,200,214],"complex":[63,106],"spatial":[64,107,170,183],"distributions,":[65],"correlation":[68],"specificity":[70],"between":[71,169,222],"different":[72,98,124],"not":[75],"reasonably":[76],"exploited.":[77],"Therefore,":[78],"reinforcement":[80,128],"learningbased":[81],"markov":[82],"edge":[83,159,167],"decoupled":[84,193],"network":[86,91],"(MEDFN)":[87],"proposed.":[89],"This":[90],"intelligently":[93],"compose":[94],"graphs":[95],"based":[96,230],"on":[97,231],"modal":[99],"characteristics":[100],"tasks":[102,146],"adapt":[104],"distributions;":[108],"it":[109],"also":[111],"suppress":[112],"noise":[113],"complete":[115],"while":[118],"fully":[119],"utilizing":[120],"information":[122,185],"modalities.":[125],"First,":[126],"a":[127,138,157],"learning-based":[129],"graph":[130,140,154],"construction":[131,141],"subnetwork":[132],"(RLGN)":[133],"proposed":[135,164,199,243],"learn":[137],"twomodal":[139],"strategy":[142],"suitable":[143],"transforming":[148],"regular":[149],"multimodal":[150,158,189,194,202],"data":[151],"into":[152,204],"irregular":[153],"data.":[155,190],"Second,":[156],"attention":[160],"module":[161,196],"(MEAM)":[162],"extract":[166],"features":[168,203,216],"neighboring":[171],"nodes":[172],"model":[174],"importance":[176],"node,":[179],"thereby":[180],"capturing":[181],"topology":[184],"encompassed":[186],"in":[187,245],"Finally,":[191],"(DMFM)":[197],"decouple":[201],"shared":[205],"unshared":[207],"parts":[208],"enhance":[210],"model's":[212],"ability":[213],"distinguish":[215],"targeting":[218],"modal-shared":[220],"modal-specific":[225],"feature.":[226],"experimental":[228],"results":[229],"three":[232],"well-known":[233],"datasets":[237],"demonstrate":[238],"effectiveness":[240],"MEDFN":[244],"tasks.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}