{"id":"https://openalex.org/W4390825895","doi":"https://doi.org/10.1109/lgrs.2024.3353304","title":"A Multiscale Information Fusion Network Based on PixelShuffle Integrated With YOLO for Aerial Remote Sensing Object Detection","display_name":"A Multiscale Information Fusion Network Based on PixelShuffle Integrated With YOLO for Aerial Remote Sensing Object Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390825895","doi":"https://doi.org/10.1109/lgrs.2024.3353304"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3353304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3353304","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5100743011","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-0788-5692"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Hu Xi","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082731809","display_name":"Jing Hou","orcid":"https://orcid.org/0009-0004-9139-8161"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wei Hou","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761332","display_name":"Guang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Lin Ma","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0000-7319-8829","affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110105518","display_name":"Yong Qiang Hei","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Qiang Hei","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-0034-3401","affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108251592","display_name":"Wen Tao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Tao Li","raw_affiliation_strings":["Department of Electronic Engineering, Science and Technology on Antenna and Microwave Laboratory, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6662-5781","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Science and Technology on Antenna and Microwave Laboratory, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":7.7874,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96135869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.998199999332428,"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":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7629818916320801},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6977993845939636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6737164258956909},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6703931093215942},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5423494577407837},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5238004922866821},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5083057284355164},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.47358328104019165},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.46736451983451843},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4673367440700531},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4489631950855255},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4453921914100647},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44379886984825134},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4382873773574829},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3974767327308655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3625485897064209},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1107904314994812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1027572751045227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.090110182762146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629818916320801},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6977993845939636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6737164258956909},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6703931093215942},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5423494577407837},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5238004922866821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5083057284355164},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.47358328104019165},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.46736451983451843},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4673367440700531},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4489631950855255},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4453921914100647},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44379886984825134},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4382873773574829},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3974767327308655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3625485897064209},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1107904314994812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1027572751045227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.090110182762146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3353304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3353304","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2386433235","display_name":null,"funder_award_id":"62376204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2884756036","display_name":null,"funder_award_id":"20200020081001","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G5579936028","display_name":null,"funder_award_id":"2023-JC-YB-505","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G7316759293","display_name":null,"funder_award_id":"ZYTS23143","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1989655824","https://openalex.org/W2005368619","https://openalex.org/W2059357486","https://openalex.org/W2194775991","https://openalex.org/W2963150697","https://openalex.org/W2995801068","https://openalex.org/W3039238486","https://openalex.org/W3073235885","https://openalex.org/W3127987988","https://openalex.org/W4206402703","https://openalex.org/W4312350143","https://openalex.org/W4312467816","https://openalex.org/W4386076325","https://openalex.org/W4391331851","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W3205445068","https://openalex.org/W3161591591","https://openalex.org/W3134004915","https://openalex.org/W2154495931","https://openalex.org/W2972256598","https://openalex.org/W4388964477","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W4387801831","https://openalex.org/W4221156520"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"object":[2],"detection":[3,10,32,113,144],"has":[4,149],"made":[5],"tremendous":[6],"progress":[7],"in":[8,29,64,87,123,131],"the":[9,17,31,54,65,70,82,101,105,112,126,139,143],"of":[11,19,56,61,67,104],"aerial":[12,133],"remote":[13,134],"sensing":[14,135],"targets.":[15,154],"However,":[16],"issue":[18],"similar":[20,62],"targets":[21,24,63],"and":[22,148],"multi-scale":[23,39,89,92,102],"still":[25],"becomes":[26],"an":[27,115],"obstacle":[28],"improving":[30],"accuracy.":[33],"To":[34],"address":[35],"this":[36],"issue,":[37],"a":[38,91],"information":[40,60,103],"fusion":[41],"network":[42,73],"based":[43,74],"on":[44,75],"PixelShuffle":[45],"integrated":[46],"with":[47],"YOLO(MPS-YOLO)":[48],"is":[49,77,97,121],"proposed.":[50],"First,":[51],"to":[52,99,109,124,152],"reduce":[53],"loss":[55],"deep":[57],"semantic":[58],"feature":[59,68,71,106,118],"process":[66],"fusion,":[69],"pyramid":[72],"PixelShuffle(FPN-P)":[76],"introduced.":[78],"Second,":[79],"aiming":[80],"at":[81],"phenomenon":[83],"that":[84],"gets":[85],"stuck":[86],"identifying":[88],"targets,":[90],"receptive":[93],"field":[94],"(MRF)":[95],"module":[96],"designed":[98],"fuse":[100],"layer.":[107],"Finally,":[108],"further":[110],"enhance":[111],"result,":[114],"extra":[116],"shallow":[117],"map":[119],"(ESF)":[120],"brought":[122],"enrich":[125],"context":[127],"information.":[128],"Numerical":[129],"results":[130],"public":[132],"datasets":[136],"show":[137],"that,":[138],"proposed":[140],"algorithm":[141],"enhances":[142],"accuracy":[145],"by":[146],"4.15%":[147],"preeminent":[150],"robustness":[151],"difficult-to-identify":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
