{"id":"https://openalex.org/W4400722392","doi":"https://doi.org/10.3390/rs16142619","title":"JointNet: Multitask Learning Framework for Denoising and Detecting Anomalies in Hyperspectral Remote Sensing","display_name":"JointNet: Multitask Learning Framework for Denoising and Detecting Anomalies in Hyperspectral Remote Sensing","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400722392","doi":"https://doi.org/10.3390/rs16142619"},"language":"en","primary_location":{"id":"doi:10.3390/rs16142619","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142619","pdf_url":null,"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://doi.org/10.3390/rs16142619","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023355113","display_name":"Yingzhao Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingzhao Shao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an 710071, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057792399","display_name":"Shuhan Li","orcid":"https://orcid.org/0000-0001-6898-1501"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan Li","raw_affiliation_strings":["Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi\u2019an 710071, China","School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an 710071, China","School of Computer Science and Technology, Xidian University, Xi'an 710126, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi\u2019an 710071, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an 710071, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664267","display_name":"Pengfei Yang","orcid":"https://orcid.org/0000-0003-4065-4052"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Yang","raw_affiliation_strings":["Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi\u2019an 710071, China","School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","School of Computer Science and Technology, Xidian University, Xi'an 710126, China","Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi\u2019an 710071, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xi'an 710071, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101451436","display_name":"Cheng Fei","orcid":"https://orcid.org/0009-0008-4922-9259"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","School of Computer Science and Technology, Xidian University, Xi'an 710126, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101111709","display_name":"Yueli Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueli Ding","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","School of Computer Science and Technology, Xidian University, Xi'an 710126, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101561813","display_name":"Jianguo Sun","orcid":"https://orcid.org/0000-0002-6656-2191"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianguo Sun","raw_affiliation_strings":["Zhejiang Provincial Engineering Research Center for Industrial Data Element Circulation and Security Management, Hangzhou 311231, China"],"raw_orcid":"https://orcid.org/0000-0002-6656-2191","affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Engineering Research Center for Industrial Data Element Circulation and Security Management, Hangzhou 311231, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101451436"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3558,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82967327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"14","first_page":"2619","last_page":"2619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9846000075340271,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7773906588554382},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7433176040649414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961497664451599},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6748514175415039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597285270690918},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6589462161064148},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6485467553138733},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6421110033988953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5969988703727722},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5814815759658813},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4761607348918915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3793112635612488},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3341757655143738},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.293427050113678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09815210103988647},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06858161091804504},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06230303645133972}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7773906588554382},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7433176040649414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961497664451599},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6748514175415039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597285270690918},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6589462161064148},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6485467553138733},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6421110033988953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5969988703727722},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5814815759658813},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4761607348918915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3793112635612488},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3341757655143738},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.293427050113678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09815210103988647},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06858161091804504},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06230303645133972},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16142619","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142619","pdf_url":null,"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:d28d9ceacf164b598adca880522c878d","is_oa":false,"landing_page_url":"https://doaj.org/article/d28d9ceacf164b598adca880522c878d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 14, p 2619 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16142619","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142619","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G4967342268","display_name":null,"funder_award_id":"2024GX-ZDCYL-02-15","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1993699518","https://openalex.org/W2005871861","https://openalex.org/W2014238333","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2056370875","https://openalex.org/W2107799335","https://openalex.org/W2124463804","https://openalex.org/W2131697388","https://openalex.org/W2161073299","https://openalex.org/W2570882091","https://openalex.org/W2750586932","https://openalex.org/W2884073548","https://openalex.org/W2919868964","https://openalex.org/W2972480129","https://openalex.org/W2979897847","https://openalex.org/W2997323728","https://openalex.org/W3003955104","https://openalex.org/W3123098349","https://openalex.org/W3137199127","https://openalex.org/W3153686193","https://openalex.org/W3201553497","https://openalex.org/W3205538325","https://openalex.org/W3206269217","https://openalex.org/W3213061924","https://openalex.org/W4220910234","https://openalex.org/W4229368019","https://openalex.org/W4306398738","https://openalex.org/W4312372284","https://openalex.org/W4312587045","https://openalex.org/W4312591219","https://openalex.org/W4312617484","https://openalex.org/W4312747095","https://openalex.org/W4312781433","https://openalex.org/W4312875565","https://openalex.org/W4312976110","https://openalex.org/W4313031653","https://openalex.org/W4319996239","https://openalex.org/W4320917930","https://openalex.org/W4360993974","https://openalex.org/W4387011204","https://openalex.org/W4387803462","https://openalex.org/W4388268133","https://openalex.org/W4388407711","https://openalex.org/W6743842988","https://openalex.org/W6791818776","https://openalex.org/W6802029730","https://openalex.org/W6850327395","https://openalex.org/W6851273229","https://openalex.org/W6857121633"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W2072166414","https://openalex.org/W3131327266","https://openalex.org/W3186512740","https://openalex.org/W4363671829","https://openalex.org/W2780476542","https://openalex.org/W3037110488","https://openalex.org/W4406355439"],"abstract_inverted_index":{"One":[0],"of":[1,19,137,150,167,188,214,235],"the":[2,17,26,37,65,70,88,101,113,122,128,135,138,142,148,164,171,186,207,215,225,236,252,272,277,293,297,305],"significant":[3],"challenges":[4],"with":[5],"traditional":[6],"single-task":[7],"learning-based":[8],"anomaly":[9,20,29,108,131,143,152,193,203,209,260,300],"detection":[10,38,61,132,144,210,261,301,314],"using":[11,280],"noisy":[12,56,71],"hyperspectral":[13],"images":[14,279],"(HSIs)":[15],"is":[16,83,116,125,160,182,220,263],"loss":[18,158],"targets":[21,30,153],"during":[22,141,154],"denoising,":[23],"especially":[24],"when":[25],"noise":[27,90,102,123,178,201,285],"and":[28,77,130,146,202,218,227,239,244,246,249,254,265,287,292,308],"are":[31,241],"similar.":[32],"This":[33,85],"issue":[34,149],"significantly":[35],"affects":[36],"accuracy.":[39],"To":[40],"address":[41],"this":[42,44,281],"problem,":[43],"paper":[45],"proposes":[46],"a":[47,59,74,78,177,189,197],"multitask":[48,172],"learning":[49,166,173],"(MTL)-based":[50],"method":[51,219,270,282],"for":[52,107,196],"detecting":[53],"anomalies":[54],"in":[55,303],"HSIs.":[57],"Firstly,":[58],"preliminary":[60],"approach":[62,86],"based":[63],"on":[64,224,251],"JointNet":[66,114,294],"model,":[67],"which":[68],"decomposes":[69],"HSI":[72,299],"into":[73,95],"pure":[75],"background":[76],"noise\u2013anomaly":[79],"target":[80],"mixing":[81],"component,":[82],"introduced.":[84],"integrates":[87],"minimum":[89],"fraction":[91],"rotation":[92],"(MNF)":[93],"algorithm":[94],"an":[96,192],"autoencoder":[97],"(AE),":[98],"effectively":[99],"isolating":[100],"while":[103],"retaining":[104],"critical":[105],"features":[106],"detection.":[109],"Building":[110],"upon":[111],"this,":[112],"model":[115,217,295],"further":[117],"optimized":[118],"to":[119,162,184],"ensure":[120],"that":[121,276],"information":[124],"shared":[126],"between":[127,200],"denoising":[129,232],"subtasks,":[133],"preserving":[134],"integrity":[136],"training":[139],"data":[140],"process":[145],"resolving":[147],"losing":[151],"denoising.":[155],"A":[156],"novel":[157],"function":[159],"designed":[161],"enable":[163],"joint":[165],"both":[168,304],"subtasks":[169],"under":[170],"model.":[174],"In":[175],"addition,":[176],"score":[179],"evaluation":[180,307],"metric":[181,233],"introduced":[183],"calculate":[185],"probability":[187],"pixel":[190],"being":[191],"target,":[194],"allowing":[195],"clear":[198],"distinction":[199],"targets,":[204],"thus":[205],"providing":[206],"final":[208],"results.":[211],"The":[212,231,259,268],"effectiveness":[213],"proposed":[216,269],"validated":[221],"via":[222],"testing":[223],"HYDICE":[226,253],"San":[228,255],"Diego":[229,256],"datasets.":[230],"results":[234],"PSNR,":[237],"SSIM,":[238],"SAM":[240],"41.79,":[242],"0.91,":[243],"4.350":[245],"42.83,":[247],"0.93,":[248],"3.558":[250],"datasets,":[257],"respectively.":[258,267],"ACU":[262],"0.943":[264],"0.959,":[266],"outperforms":[271,296],"other":[273],"algorithms,":[274],"demonstrating":[275],"reconstructed":[278],"exhibited":[283],"lower":[284],"levels":[286],"more":[288],"complete":[289],"image":[290],"information,":[291],"mainstream":[298],"algorithms":[302],"quantitative":[306],"visual":[309],"effect,":[310],"showcasing":[311],"its":[312],"improved":[313],"capabilities.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
