{"id":"https://openalex.org/W4403495406","doi":"https://doi.org/10.3390/rs16203853","title":"Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation for Remote Sensing Image Scene Classification","display_name":"Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation for Remote Sensing Image Scene Classification","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403495406","doi":"https://doi.org/10.3390/rs16203853"},"language":"en","primary_location":{"id":"doi:10.3390/rs16203853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203853","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3853/pdf?version=1729149111","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/2072-4292/16/20/3853/pdf?version=1729149111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037372838","display_name":"Chuan Li","orcid":"https://orcid.org/0009-0004-8041-2538"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Li","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054039763","display_name":"Xiao Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Teng","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078411032","display_name":"Yan Ding","orcid":"https://orcid.org/0000-0002-4741-517X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ding","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060251766","display_name":"Long Lan","orcid":"https://orcid.org/0000-0002-4238-8985"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Lan","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060251766"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3109,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63602153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"20","first_page":"3853","last_page":"3853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6692867279052734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6029117107391357},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.534426748752594},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5163170695304871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47484782338142395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43964633345603943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3873182237148285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650887608528137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25138166546821594},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17376402020454407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12521132826805115},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0631137490272522}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6692867279052734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029117107391357},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.534426748752594},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5163170695304871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47484782338142395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43964633345603943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3873182237148285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650887608528137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25138166546821594},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17376402020454407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12521132826805115},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0631137490272522}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16203853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203853","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3853/pdf?version=1729149111","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:37915b2ad55a4185b0cce7b14e3cc07e","is_oa":true,"landing_page_url":"https://doaj.org/article/37915b2ad55a4185b0cce7b14e3cc07e","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 20, p 3853 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16203853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16203853","pdf_url":"https://www.mdpi.com/2072-4292/16/20/3853/pdf?version=1729149111","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/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2466138076","display_name":null,"funder_award_id":"62376282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403495406.pdf","grobid_xml":"https://content.openalex.org/works/W4403495406.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1526295910","https://openalex.org/W1589362500","https://openalex.org/W1958291604","https://openalex.org/W1980038761","https://openalex.org/W1985258161","https://openalex.org/W2006603039","https://openalex.org/W2029316659","https://openalex.org/W2029655596","https://openalex.org/W2031775731","https://openalex.org/W2077689834","https://openalex.org/W2082081125","https://openalex.org/W2090424610","https://openalex.org/W2098676252","https://openalex.org/W2121915926","https://openalex.org/W2121983296","https://openalex.org/W2128579323","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2153425333","https://openalex.org/W2156924720","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2169209784","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2469938794","https://openalex.org/W2515866431","https://openalex.org/W2542055599","https://openalex.org/W2592962403","https://openalex.org/W2739879705","https://openalex.org/W2752782242","https://openalex.org/W2767089292","https://openalex.org/W2789919692","https://openalex.org/W2794948653","https://openalex.org/W2805447362","https://openalex.org/W2883780447","https://openalex.org/W2936252403","https://openalex.org/W2963140444","https://openalex.org/W2964137095","https://openalex.org/W2964194231","https://openalex.org/W2982157312","https://openalex.org/W3011860727","https://openalex.org/W3034756453","https://openalex.org/W3105577662","https://openalex.org/W3118493742","https://openalex.org/W3177196641","https://openalex.org/W4226426325","https://openalex.org/W4239510810","https://openalex.org/W4283764068","https://openalex.org/W4293396313","https://openalex.org/W4305000041","https://openalex.org/W4378421684","https://openalex.org/W4383428402","https://openalex.org/W4386065360","https://openalex.org/W4386072392","https://openalex.org/W4387886175","https://openalex.org/W4396721476","https://openalex.org/W4399283765","https://openalex.org/W4401070469","https://openalex.org/W4402667890","https://openalex.org/W4402727442","https://openalex.org/W4403999350","https://openalex.org/W6769906912","https://openalex.org/W6846271418","https://openalex.org/W7034097810"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W2068840890"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"image":[2],"(RSI)":[3],"scene":[4,125,200],"classification":[5,47,201],"aims":[6],"to":[7,66,98,141,164,179],"identify":[8],"semantic":[9],"categories":[10],"in":[11,49,62,95,100],"RSI":[12,50,63,96,124,199],"using":[13],"neural":[14,19],"networks.":[15],"However,":[16],"high-performance":[17],"deep":[18],"networks":[20],"typically":[21],"demand":[22],"substantial":[23],"storage":[24],"and":[25,117,131,161,174,191,205,235],"computational":[26,220],"resources,":[27],"making":[28],"practical":[29],"deployment":[30],"challenging.":[31],"Knowledge":[32],"distillation":[33,54,121],"has":[34],"emerged":[35],"as":[36],"an":[37,111,137],"effective":[38],"technique":[39],"for":[40,123],"developing":[41],"compact":[42],"models":[43,163],"that":[44,208],"maintain":[45],"high":[46,59],"accuracy":[48],"tasks.":[51],"Existing":[52],"knowledge":[53,120],"methods":[55],"often":[56],"overlook":[57],"the":[58,71,77,91,101,129,143,149,159,166,176,186,225],"inter-class":[60,189],"similarity":[61,190],"scenes,":[64],"leading":[65],"low-confidence":[67],"soft":[68,83,172],"labels":[69,84,173],"from":[70],"teacher":[72,144,162],"model,":[73],"which":[74],"can":[75],"mislead":[76],"student":[78,160],"model.":[79],"Conversely,":[80],"overly":[81],"confident":[82],"may":[85],"discard":[86],"valuable":[87],"non-target":[88,132],"information.":[89],"Additionally,":[90,222],"significant":[92],"intra-class":[93,192],"variability":[94],"contributes":[97],"instability":[99],"model\u2019s":[102,145],"decision":[103],"boundaries.":[104],"To":[105,127],"address":[106],"these":[107],"challenges,":[108],"we":[109,135,153,223],"propose":[110],"efficient":[112],"method":[113,184,210],"called":[114],"instance-level":[115],"scaling":[116],"dynamic":[118,155],"margin-alignment":[119],"(ISDM)":[122],"classification.":[126],"balance":[128],"target":[130,146],"class":[133,147],"influence,":[134],"apply":[136],"entropy":[138],"regularization":[139],"loss":[140],"scale":[142],"at":[148],"instance":[150],"level.":[151],"Moreover,":[152],"introduce":[154],"margin":[156],"alignment":[157],"between":[158,181],"improve":[165],"student\u2019s":[167,177],"discriminative":[168],"capability.":[169],"By":[170],"optimizing":[171],"enhancing":[175],"ability":[178],"distinguish":[180],"classes,":[182],"our":[183,209,228],"reduces":[185],"effects":[187],"of":[188,227],"variability.":[193],"Experimental":[194],"results":[195],"on":[196,230],"three":[197],"public":[198],"datasets":[202],"(AID,":[203],"UCMerced,":[204],"NWPU-RESISC)":[206],"demonstrate":[207],"achieves":[211],"state-of-the-art":[212],"performance":[213],"across":[214],"all":[215],"teacher\u2013student":[216],"pairs":[217],"with":[218],"lower":[219],"costs.":[221],"validate":[224],"generalization":[226],"approach":[229],"general":[231],"datasets,":[232],"including":[233],"CIFAR-100":[234],"ImageNet-1k.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
