{"id":"https://openalex.org/W4392061626","doi":"https://doi.org/10.1109/access.2024.3368925","title":"Geometry-Preserving Perceptual Feature Selection for Categorizing LR Aerial Photographs","display_name":"Geometry-Preserving Perceptual Feature Selection for Categorizing LR Aerial Photographs","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392061626","doi":"https://doi.org/10.1109/access.2024.3368925"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3368925","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3368925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443436.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/ielx7/6287639/6514899/10443436.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112961242","display_name":"Yichuan Sheng","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":true,"raw_author_name":"Yichuan Sheng","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/A5113125211","display_name":"Fujin Ren","orcid":null},"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":"Fujin Ren","raw_affiliation_strings":["College of Computer Sciences, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112961242"],"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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01674099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"29464","last_page":"29474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6670449376106262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6266171932220459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5454819798469543},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5025599002838135},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48508918285369873},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4843238592147827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.480927437543869},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45948633551597595}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6670449376106262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266171932220459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5454819798469543},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5025599002838135},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48508918285369873},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4843238592147827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.480927437543869},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45948633551597595},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3368925","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3368925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443436.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:05e44424db78475a82c575dfa483f4b9","is_oa":true,"landing_page_url":"https://doaj.org/article/05e44424db78475a82c575dfa483f4b9","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 29464-29474 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3368925","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3368925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443436.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":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392061626.pdf","grobid_xml":"https://content.openalex.org/works/W4392061626.grobid-xml"},"referenced_works_count":57,"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/W2111992298","https://openalex.org/W2116137332","https://openalex.org/W2138986785","https://openalex.org/W2194775991","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/W2798365843","https://openalex.org/W2811197153","https://openalex.org/W2889606600","https://openalex.org/W2898682679","https://openalex.org/W2911788474","https://openalex.org/W2917187459","https://openalex.org/W2932399282","https://openalex.org/W2960964942","https://openalex.org/W2962762068","https://openalex.org/W2964255128","https://openalex.org/W2969235880","https://openalex.org/W2973447328","https://openalex.org/W2982112268","https://openalex.org/W2996948100","https://openalex.org/W3011424859","https://openalex.org/W3014606712","https://openalex.org/W3025665229","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/W4207034821","https://openalex.org/W4285179511","https://openalex.org/W4285189202","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/W6754379148"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3203087560","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"There":[0],"are":[1,223],"plenty":[2],"of":[3,142,151,192,211,242,248],"high-":[4],"and":[5,77,168],"low-altitude":[6,32],"earth":[7],"observation":[8],"satellites":[9,19,33],"asynchronously":[10],"capture":[11,34],"massive-scale":[12],"aerial":[13,23,37,49,115,136,213,239],"photographs":[14],"everyday.":[15],"In":[16],"practice,":[17],"high-altitude":[18],"take":[20],"low-resolution":[21],"(LR)":[22],"pictures,":[24],"each":[25,39],"covers":[26],"a":[27,41,54,64,95,129,139,148,161,190,201,208],"considerably":[28],"large":[29],"area.":[30,44],"Comparatively,":[31],"high-resolution":[35],"(HR)":[36],"photos,":[38],"depicts":[40],"relatively":[42],"small":[43,209],"Accurately":[45],"mining":[46],"the":[47,70,79,86,171,176,183,219,246,249],"LR":[48,114,135,212,238],"images\u2019":[50],"semantic":[51],"clues":[52],"is":[53,62,156,186,198],"significant":[55],"task":[56,66],"in":[57],"pattern":[58],"recognition.":[59],"However,":[60],"it":[61],"also":[63],"challenging":[65],"due":[67],"to:":[68,158],"1)":[69,159],"inefficiency":[71],"to":[72,81,112,132,188,215,236],"label":[73],"adequate":[74],"training":[75],"samples,":[76],"2)":[78,169],"difficulty":[80],"describe":[82],"how":[83,120],"humans":[84,121],"preserving":[85],"world.":[87],"To":[88],"handle":[89],"these":[90],"problems,":[91],"this":[92],"work":[93],"presents":[94],"so-called":[96,184],"perceptual":[97],"feature":[98,227],"selector":[99],"(GPFS)":[100],"that":[101],"optimally":[102,224],"preserves":[103],"samples\u2019":[104],"geometry,":[105],"aiming":[106],"at":[107],"sufficiently":[108],"discriminative":[109],"perception-based":[110],"representations":[111],"classify":[113],"photos.":[116,240],"Particularly,":[117],"by":[118],"stimulating":[119],"sequentially":[122],"perceiving":[123],"different":[124],"salient":[125],"regions,":[126],"we":[127,205,234],"design":[128],"low-rank":[130],"algorithm":[131,155],"divide":[133],"an":[134],"image":[137],"into":[138],"succinct":[140],"set":[141,150,191],"attractive":[143],"regions":[144],"as":[145,147],"well":[146,163],"rich":[149],"non-attractive":[152],"regions.":[153],"Such":[154],"able":[157],"generate":[160],"path":[162,180],"captures":[164],"human":[165],"gaze":[166,178],"allocation,":[167],"engineer":[170],"deeply-learned":[172],"visual":[173],"descriptor":[174],"for":[175],"above":[177],"shifting":[179],"(GSP).":[181],"Subsequently,":[182],"GPFS":[185,197],"designed":[187],"obtain":[189],"high":[193],"quality":[194],"GSP":[195],"features.":[196],"built":[199],"upon":[200],"semi-supervised":[202],"framework.":[203],"Herein,":[204],"only":[206],"require":[207],"proportion":[210],"images":[214],"be":[216],"labeled.":[217],"Besides,":[218],"labeled/unlabeled":[220],"sample":[221],"distribution":[222],"preserved":[225],"during":[226],"selection":[228],"(FS).":[229],"Employing":[230],"those":[231],"refined":[232],"features,":[233],"learn":[235],"categorize":[237],"Plenty":[241],"empirical":[243],"results":[244],"shown":[245],"superiority":[247],"proposed":[250],"algorithm.":[251]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
