{"id":"https://openalex.org/W4393864788","doi":"https://doi.org/10.1109/access.2024.3384836","title":"Categorizing Low-Resolution Aerial Photos by Hessian-Regularized Perceptual Feature Selection","display_name":"Categorizing Low-Resolution Aerial Photos by Hessian-Regularized Perceptual Feature Selection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393864788","doi":"https://doi.org/10.1109/access.2024.3384836"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3384836","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3384836","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10489945.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/ielx7/6287639/6514899/10489945.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100647208","display_name":"Guifeng Wang","orcid":"https://orcid.org/0000-0003-3301-6677"},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guifeng Wang","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030896318","display_name":"Jianzhang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua Polytechnic","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhang Xiao","raw_affiliation_strings":["Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081196619","display_name":"Yi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["College of Computer Sciences, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100647208"],"corresponding_institution_ids":["https://openalex.org/I4210152737"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7561,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76595267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"49837","last_page":"49847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9986000061035156,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7417647838592529},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.6917436718940735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6857213973999023},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6524356007575989},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6319599151611328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.572451114654541},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.5360989570617676},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.513297975063324},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4868435263633728},{"id":"https://openalex.org/keywords/aerial-photos","display_name":"Aerial photos","score":0.4859687089920044},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48092004656791687},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4758743345737457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45095294713974},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4352342486381531},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.34625932574272156},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.24051964282989502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23692670464515686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19863691926002502},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1554558277130127}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7417647838592529},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6917436718940735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6857213973999023},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6524356007575989},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6319599151611328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.572451114654541},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.5360989570617676},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.513297975063324},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4868435263633728},{"id":"https://openalex.org/C3018193623","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photos","level":2,"score":0.4859687089920044},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48092004656791687},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4758743345737457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45095294713974},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4352342486381531},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.34625932574272156},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.24051964282989502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23692670464515686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19863691926002502},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1554558277130127},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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":2,"locations":[{"id":"doi:10.1109/access.2024.3384836","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3384836","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10489945.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:2f2d48d407fb4f6d99b05fdea35f321e","is_oa":true,"landing_page_url":"https://doaj.org/article/2f2d48d407fb4f6d99b05fdea35f321e","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 49837-49847 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3384836","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3384836","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10489945.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":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393864788.pdf","grobid_xml":"https://content.openalex.org/works/W4393864788.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W76974083","https://openalex.org/W2010632104","https://openalex.org/W2035822736","https://openalex.org/W2083162467","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/W2237665682","https://openalex.org/W2475223347","https://openalex.org/W2480078828","https://openalex.org/W2546523301","https://openalex.org/W2558525954","https://openalex.org/W2562363172","https://openalex.org/W2567390385","https://openalex.org/W2760340275","https://openalex.org/W2780534582","https://openalex.org/W2798365843","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/W2962762068","https://openalex.org/W2964255128","https://openalex.org/W2965475674","https://openalex.org/W2969235880","https://openalex.org/W2982112268","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/W3167456680","https://openalex.org/W3210340326","https://openalex.org/W4206038443","https://openalex.org/W4283756298","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/W6680434193","https://openalex.org/W6684191040","https://openalex.org/W6689974143","https://openalex.org/W6739891508","https://openalex.org/W6754379148","https://openalex.org/W6758322132"],"related_works":["https://openalex.org/W2807234726","https://openalex.org/W4393495203","https://openalex.org/W4283696875","https://openalex.org/W3110585990","https://openalex.org/W3080225444","https://openalex.org/W4403024694","https://openalex.org/W2784132289","https://openalex.org/W2487965249","https://openalex.org/W3034139063","https://openalex.org/W2138236571"],"abstract_inverted_index":{"Amid":[0],"advancements":[1],"in":[2,166],"aerospace":[3],"technology":[4],"and":[5,21,74,111,146,206,224],"remote":[6],"communication,":[7],"a":[8,17,92,133,178],"proliferation":[9],"of":[10,42,48,70,77,209,213,226],"Earth-observing":[11],"satellites":[12,25],"has":[13],"been":[14],"launched,":[15],"creating":[16],"distinction":[18],"between":[19,144],"high-":[20],"low-altitude":[22,36],"platforms.":[23],"High-altitude":[24],"capture":[26],"low-resolution":[27],"(LR)":[28],"aerial":[29,52,119,151,164],"images,":[30],"covering":[31],"expansive":[32],"areas,":[33],"whereas":[34],"their":[35],"counterparts":[37],"provide":[38],"high-resolution":[39],"(HR)":[40],"images":[41],"relatively":[43],"confined":[44],"spaces.":[45],"The":[46],"task":[47],"semantically":[49],"categorizing":[50],"LR":[51,118,150],"imagery":[53,165],"is":[54,63,140,182],"pivotal":[55],"within":[56,132,149,215],"numerous":[57],"artificial":[58],"intelligence":[59],"(AI)":[60],"systems":[61],"but":[62],"encumbered":[64],"by":[65,195],"challenges":[66],"including":[67],"limited":[68],"availability":[69],"labeled":[71],"training":[72],"data":[73],"the":[75,123,163,171,199,207,210,216,222,227],"complexity":[76],"approximating":[78],"human":[79,124,172],"environmental":[80],"perception":[81,98],"through":[82],"computational":[83],"models.":[84],"To":[85],"address":[86],"these":[87,189],"challenges,":[88],"this":[89,154],"research":[90],"proposes":[91],"novel":[93],"strategy":[94],"that":[95,157],"marries":[96],"active":[97,137],"learning":[99,138],"with":[100,129],"Hessian-regularized":[101],"feature":[102,217],"selection":[103],"(HRFS).":[104],"This":[105],"approach":[106],"endeavors":[107],"to":[108,126,142,184],"procure":[109],"perceptually":[110],"discriminatively":[112],"potent":[113],"visual":[114,134,173],"representations":[115],"for":[116,201],"classifying":[117],"imagery.":[120],"By":[121],"emulating":[122],"propensity":[125],"sequentially":[127],"engage":[128],"salient":[130,145,159,192],"regions":[131,148,160],"field,":[135],"an":[136],"paradigm":[139],"adopted":[141],"differentiate":[143],"non-salient":[147],"images.":[152],"Theoretically,":[153],"methodology":[155],"ensures":[156],"selected":[158],"can":[161],"reconstruct":[162],"its":[167,196],"entirety,":[168],"thus":[169],"mirroring":[170],"system\u2019s":[174],"perception.":[175],"Following":[176],"this,":[177],"pioneering":[179],"HRFS":[180],"technique":[181],"devised":[183],"extract":[185],"premium":[186],"features":[187],"from":[188],"selectively":[190],"identified":[191],"regions,":[193],"distinguished":[194],"semi-supervised":[197],"operation,":[198],"capability":[200],"concurrent":[202],"linear":[203],"classifier":[204],"training,":[205],"preservation":[208],"geometric":[211],"distribution":[212],"samples":[214],"space.":[218],"Empirical":[219],"assessments":[220],"underscore":[221],"resilience":[223],"efficacy":[225],"proposed":[228],"classification":[229],"framework.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}