{"id":"https://openalex.org/W4210972076","doi":"https://doi.org/10.2514/1.i011004","title":"Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution","display_name":"Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution","publication_year":2022,"publication_date":"2022-02-10","ids":{"openalex":"https://openalex.org/W4210972076","doi":"https://doi.org/10.2514/1.i011004"},"language":"en","primary_location":{"id":"doi:10.2514/1.i011004","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011004","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004003684","display_name":"Guoxin Huang","orcid":"https://orcid.org/0000-0003-4189-1746"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoxin Huang","raw_affiliation_strings":["Sichuan University, 610041 Chengdu, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393360","display_name":"Xinyan Zhang","orcid":"https://orcid.org/0000-0002-1924-1010"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyan Zhang","raw_affiliation_strings":["Sichuan University, 610041 Chengdu, People\u2019s Republic of China","Sichuan University, 610041 Chengdu, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People's Republic of China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003032624","display_name":"Ranyang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ranyang Zhao","raw_affiliation_strings":["Sichuan University, 610041 Chengdu, People\u2019s Republic of China","Sichuan University, 610041 Chengdu, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People's Republic of China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Sichuan University, 610041 Chengdu, People\u2019s Republic of China","Sichuan University, 610041 Chengdu, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People's Republic of China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043900672","display_name":"Binbin Liang","orcid":"https://orcid.org/0000-0002-7402-668X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Liang","raw_affiliation_strings":["Sichuan University, 610041 Chengdu, People\u2019s Republic of China","Sichuan University, 610041 Chengdu, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People\u2019s Republic of China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sichuan University, 610041 Chengdu, People's Republic of China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111734837","display_name":"Jun Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Xie","raw_affiliation_strings":["Karamay People\u2019s Government, 834000\u00a0Karamay, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Karamay People\u2019s Government, 834000\u00a0Karamay, People\u2019s Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004003684"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.5038,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61563979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"4","first_page":"305","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/upsampling","display_name":"Upsampling","score":0.7388326525688171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718041181564331},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5755090117454529},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5553271174430847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5525953769683838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5493561029434204},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5327838659286499},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.515900731086731},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46593207120895386},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4388420283794403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32189953327178955},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22177192568778992},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12950417399406433}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7388326525688171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718041181564331},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5755090117454529},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5553271174430847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5525953769683838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493561029434204},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5327838659286499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.515900731086731},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46593207120895386},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4388420283794403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32189953327178955},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22177192568778992},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12950417399406433},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.2514/1.i011004","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i011004","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1462004535","display_name":null,"funder_award_id":"NO. U20A20161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3329253515","display_name":null,"funder_award_id":"NO. U1933134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3666164501","display_name":null,"funder_award_id":"NO. U1833128","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2109255472","https://openalex.org/W2163352848","https://openalex.org/W2168356304","https://openalex.org/W2412782625","https://openalex.org/W2418346537","https://openalex.org/W2530966705","https://openalex.org/W2535388113","https://openalex.org/W2604738573","https://openalex.org/W2618530766","https://openalex.org/W2884561390","https://openalex.org/W2937795308","https://openalex.org/W2946315857","https://openalex.org/W3096831136"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2165589608","https://openalex.org/W2116352882","https://openalex.org/W2964954556","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Detection":[0],"of":[1,14,19,29,45,116,121,157,167],"small":[2,30,46],"objects":[3],"is":[4,21,38,50,126],"a":[5,35,154,160],"challenge":[6],"in":[7,11,76,82,110,149],"computer":[8],"vision,":[9],"especially":[10],"the":[12,22,26,42,54,61,67,83,90,103,108,123,135,146,165],"application":[13],"airport":[15,85],"surface":[16,86],"surveillance.":[17],"Operation":[18],"convolution":[20],"key":[23],"to":[24,40,52,65],"losing":[25],"semantic":[27],"information":[28,44],"objects.":[31,47],"In":[32,114,164],"this":[33,150],"paper,":[34],"high-resolution":[36],"network":[37],"designed":[39],"maintain":[41],"feature":[43,55,63,68],"Channel":[48],"restructuring":[49],"used":[51],"enlarge":[53],"map":[56,64],"and":[57,100,119,159],"merge":[58],"it":[59],"with":[60,89,140],"shallow":[62],"enhance":[66],"position":[69],"information,":[70],"rather":[71],"than":[72,129],"bilinear":[73],"interpolation":[74],"upsampling":[75],"traditional":[77],"methods.":[78],"Experiments":[79],"show":[80],"that,":[81],"self-built":[84],"dataset,":[87],"compared":[88,139],"mainstream":[91],"object":[92],"detector":[93],"Fully":[94],"Convolutional":[95],"One-Stage":[96],"Object":[97],"Detector,":[98],"RetinaNet,":[99],"other":[101],"methods,":[102],"proposed":[104,124],"method":[105,125,147,171],"can":[106,152,172],"reach":[107,173],"state-of-the-art":[109],"various":[111],"precision":[112],"indexes.":[113],"terms":[115],"model":[117],"size":[118],"number":[120,156],"parameters,":[122],"significantly":[127],"smaller":[128],"Faster":[130],"Region-Convolutional":[131],"Neural":[132],"Networks.":[133],"Under":[134],"same":[136],"input":[137],"size,":[138],"You":[141],"Only":[142],"Look":[143],"Once":[144],"v3,":[145],"presented":[148],"paper":[151],"obtain":[153],"lower":[155],"parameters":[158],"faster":[161],"inference":[162],"speed.":[163],"case":[166],"using":[168],"GTX1080Ti,":[169],"our":[170],"76.7":[174],"frames":[175],"per":[176],"second.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
