{"id":"https://openalex.org/W4391992558","doi":"https://doi.org/10.1109/access.2024.3368654","title":"Low-Resolution Aerial Imagery Classification by Actively Learning Human Perception and Manifold-Regularized Feature Selection","display_name":"Low-Resolution Aerial Imagery Classification by Actively Learning Human Perception and Manifold-Regularized Feature Selection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391992558","doi":"https://doi.org/10.1109/access.2024.3368654"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3368654","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368654","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10380310/10443406.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10380310/10443406.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021814731","display_name":"Kunpeng Xu","orcid":"https://orcid.org/0000-0002-9349-4390"},"institutions":[{"id":"https://openalex.org/I4394709081","display_name":"Xuzhou College of Industrial Technology","ror":"https://ror.org/00bn0wv11","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709081"]},{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kunpeng Xu","raw_affiliation_strings":["Xuzhou College of Industrial Technology, Xuzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Xuzhou College of Industrial Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I124841900","https://openalex.org/I4394709081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066481117","display_name":"Dongmei Liu","orcid":"https://orcid.org/0000-0001-6785-0825"},"institutions":[{"id":"https://openalex.org/I4210163048","display_name":"Jiangxi College of Applied Technology","ror":"https://ror.org/05d5kcc69","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163048"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Liu","raw_affiliation_strings":["Jiangxi Vocational Technical College of Industry &#x0026; Trade, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Vocational Technical College of Industry &#x0026; Trade, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I4210163048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103103344","display_name":"Zhiming Wang","orcid":"https://orcid.org/0009-0003-1134-6269"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Wang","raw_affiliation_strings":["College of AI, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of AI, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021814731"],"corresponding_institution_ids":["https://openalex.org/I124841900","https://openalex.org/I4394709081"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7548,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76101264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"31107","last_page":"31116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9577999711036682,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9334999918937683,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7235235571861267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446269750595093},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5983344316482544},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5642192363739014},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.562556266784668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600505471229553},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5453091263771057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.489153653383255},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4860432744026184},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.47245362401008606},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46131086349487305},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4523910880088806},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4345552623271942},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42869114875793457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42762988805770874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20968613028526306},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.20591303706169128},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09347531199455261},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09000927209854126}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7235235571861267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446269750595093},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5983344316482544},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5642192363739014},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.562556266784668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600505471229553},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5453091263771057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.489153653383255},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4860432744026184},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.47245362401008606},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46131086349487305},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4523910880088806},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4345552623271942},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42869114875793457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42762988805770874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20968613028526306},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.20591303706169128},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09347531199455261},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09000927209854126},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3368654","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368654","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10380310/10443406.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9e6fe2cc6e67490d8a2df294533fdd81","is_oa":true,"landing_page_url":"https://doaj.org/article/9e6fe2cc6e67490d8a2df294533fdd81","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":"IEEE Access, Vol 12, Pp 31107-31116 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3368654","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368654","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10380310/10443406.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391992558.pdf","grobid_xml":"https://content.openalex.org/works/W4391992558.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W76974083","https://openalex.org/W2010632104","https://openalex.org/W2035822736","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2109751703","https://openalex.org/W2116137332","https://openalex.org/W2126185804","https://openalex.org/W2127658298","https://openalex.org/W2194775991","https://openalex.org/W2407105931","https://openalex.org/W2475223347","https://openalex.org/W2480078828","https://openalex.org/W2546523301","https://openalex.org/W2558525954","https://openalex.org/W2562363172","https://openalex.org/W2614780160","https://openalex.org/W2760340275","https://openalex.org/W2780534582","https://openalex.org/W2811197153","https://openalex.org/W2889606600","https://openalex.org/W2898682679","https://openalex.org/W2917187459","https://openalex.org/W2932399282","https://openalex.org/W2960964942","https://openalex.org/W2964255128","https://openalex.org/W2965475674","https://openalex.org/W2969235880","https://openalex.org/W2996948100","https://openalex.org/W3011424859","https://openalex.org/W3014606712","https://openalex.org/W3034427230","https://openalex.org/W3045970924","https://openalex.org/W3048631361","https://openalex.org/W3089160504","https://openalex.org/W3090239664","https://openalex.org/W3095709006","https://openalex.org/W3102692100","https://openalex.org/W3103615857","https://openalex.org/W3104752576","https://openalex.org/W3132186014","https://openalex.org/W3210340326","https://openalex.org/W4285179511","https://openalex.org/W4287641914","https://openalex.org/W4312811763","https://openalex.org/W4313590946","https://openalex.org/W4313591365","https://openalex.org/W4360995338","https://openalex.org/W4361764714","https://openalex.org/W4382202887","https://openalex.org/W6678992168","https://openalex.org/W6684191040","https://openalex.org/W6684872329","https://openalex.org/W6739891508","https://openalex.org/W6754379148"],"related_works":["https://openalex.org/W4283696875","https://openalex.org/W3110585990","https://openalex.org/W4385767632","https://openalex.org/W2889866244","https://openalex.org/W2898690910","https://openalex.org/W2784132289","https://openalex.org/W4286697184","https://openalex.org/W2889700547","https://openalex.org/W3034139063","https://openalex.org/W2593313455"],"abstract_inverted_index":{"There":[0],"are":[1,217,241],"plenty":[2],"of":[3,154,214,249,255],"high-":[4],"and":[5,78,112],"low-altitude":[6,32],"earth":[7],"observation":[8],"satellites":[9,19,33],"asynchronously":[10],"capture":[11,34],"massive-scale":[12],"aerial":[13,23,37,49,119,141,173],"images":[14],"everyday.":[15],"In":[16],"practice,":[17],"high-altitude":[18],"take":[20],"low-resolution":[21],"(LR)":[22],"pictures,":[24],"each":[25,39,171],"covers":[26],"a":[27,41,65,96,103,144,151,182,207,211,220],"considerably":[28],"large":[29],"area.":[30,44],"Comparatively,":[31],"high-resolution":[35],"(HR)":[36],"photos,":[38],"depicts":[40],"relatively":[42],"small":[43,212],"Effectively":[45],"identifying":[46],"the":[47,71,80,87,158,164,193,225,232,237,253,256],"LR":[48,118,140,172],"images\u2019":[50],"semantic":[51],"categories":[52],"is":[53,63,185,204],"an":[54,133,139],"indispensable":[55],"module":[56],"in":[57,231],"many":[58,200],"AI":[59],"systems.":[60],"However,":[61],"it":[62,203],"also":[64],"challenging":[66],"task":[67],"due":[68],"to:":[69],"1)":[70,202],"inefficiency":[72],"to":[73,82,116,137,187],"label":[74],"adequate":[75],"training":[76],"samples,":[77],"2)":[79,219],"difficulty":[81],"describe":[83],"how":[84,124],"humans":[85,125],"preserving":[86],"world.":[88],"To":[89],"handle":[90],"these":[91],"problems,":[92],"this":[93],"work":[94],"presents":[95],"so-called":[97],"active":[98,134,159],"perception":[99],"learning":[100,135,160],"coupled":[101],"with":[102],"manifold-regularized":[104],"feature":[105,245],"selection":[106,246],"(MRFS),":[107],"aiming":[108],"at":[109],"acquiring":[110],"perceptual":[111],"discriminative":[113],"visual":[114,179],"representation":[115],"classify":[117],"photos.":[120],"Particularly,":[121],"by":[122],"stimulating":[123],"sequentially":[126],"perceiving":[127],"different":[128],"salient":[129],"regions,":[130],"we":[131],"deploy":[132],"paradigm":[136],"divide":[138],"image":[142],"into":[143],"few":[145],"attractive":[146,166,196],"regions":[147,167],"as":[148,150],"well":[149,176],"rich":[152],"set":[153],"non-attractive":[155],"regions.":[156,197],"Theoretically,":[157],"technique":[161],"ensures":[162],"that":[163,210],"selected":[165,226],"can":[168,228],"maximally":[169],"reconstruct":[170],"image,":[174],"which":[175],"mimics":[177],"human":[178],"perception.":[180],"Subsequently,":[181],"novel":[183],"MRFS":[184,198,234],"designed":[186],"select":[188],"high":[189],"quality":[190],"features":[191,227],"from":[192],"actively":[194],"detected":[195],"has":[199],"advantages:":[201],"built":[205],"upon":[206],"semi-supervised":[208],"architecture":[209],"proportion":[213],"labeled":[215],"samples":[216],"required;":[218],"linear":[221],"classifier":[222],"based":[223],"on":[224],"be":[229],"learned":[230],"unified":[233],"framework;":[235],"3)":[236],"labeled/unlabeled":[238],"sample":[239],"distribution":[240],"optimally":[242],"preserved":[243],"during":[244],"(FS).":[247],"Plenty":[248],"empirical":[250],"results":[251],"shown":[252],"superiority":[254],"proposed":[257],"classification":[258],"pipeline.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
