{"id":"https://openalex.org/W4384519088","doi":"https://doi.org/10.1109/tgrs.2023.3294241","title":"Global to Local: A Scale-Aware Network for Remote Sensing Object Detection","display_name":"Global to Local: A Scale-Aware Network for Remote Sensing Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384519088","doi":"https://doi.org/10.1109/tgrs.2023.3294241"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3294241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3294241","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5100738072","display_name":"Tao Gao","orcid":"https://orcid.org/0000-0003-0325-7912"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tao Gao","raw_affiliation_strings":["Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075684310","display_name":"Qianqian Niu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qianqian Niu","raw_affiliation_strings":["Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630815","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-8516-0913"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Computing, Australian National University, Canberra, ACT, Australia","School of Computing, Australian National University (Canberra, Australia), Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"School of Computing, Australian National University (Canberra, Australia), Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017578300","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0002-8134-6913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Mei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092483991","display_name":"Ahmad Jubair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmad Jubair","raw_affiliation_strings":["Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100738072"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.143,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99261328,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7802724838256836},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7314075827598572},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.728238046169281},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6747345924377441},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6736379861831665},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5832844972610474},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5248534679412842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47179049253463745},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4664542078971863},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4611177444458008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3530924618244171},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28519654273986816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28004977107048035},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16254666447639465},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06482589244842529}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802724838256836},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7314075827598572},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.728238046169281},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6747345924377441},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6736379861831665},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5832844972610474},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5248534679412842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47179049253463745},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4664542078971863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4611177444458008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3530924618244171},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28519654273986816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28004977107048035},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16254666447639465},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06482589244842529},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3294241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3294241","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1990737959","display_name":null,"funder_award_id":"62001058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196644182","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7635329979","display_name":null,"funder_award_id":"2019YFE0108300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8023445152","display_name":null,"funder_award_id":"52172379","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2085625911","https://openalex.org/W2112796928","https://openalex.org/W2171882806","https://openalex.org/W2194775991","https://openalex.org/W2502312327","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2764012408","https://openalex.org/W2774989306","https://openalex.org/W2779335303","https://openalex.org/W2889835342","https://openalex.org/W2953478519","https://openalex.org/W2957667237","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2982770724","https://openalex.org/W2984009799","https://openalex.org/W2989604896","https://openalex.org/W2991359031","https://openalex.org/W2992240579","https://openalex.org/W3009818596","https://openalex.org/W3012573144","https://openalex.org/W3021258337","https://openalex.org/W3033996275","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3041525128","https://openalex.org/W3106250896","https://openalex.org/W3112264198","https://openalex.org/W3117679121","https://openalex.org/W3121020412","https://openalex.org/W3132349651","https://openalex.org/W3133878118","https://openalex.org/W3138516171","https://openalex.org/W3138958001","https://openalex.org/W3157386596","https://openalex.org/W3160733999","https://openalex.org/W3162930275","https://openalex.org/W3176495987","https://openalex.org/W3180134609","https://openalex.org/W3184439416","https://openalex.org/W3191251640","https://openalex.org/W3200491398","https://openalex.org/W3201260569","https://openalex.org/W3209002923","https://openalex.org/W3209073849","https://openalex.org/W3210586215","https://openalex.org/W3213759681","https://openalex.org/W4205338556","https://openalex.org/W4205659311","https://openalex.org/W4205932092","https://openalex.org/W4207076822","https://openalex.org/W4293584584","https://openalex.org/W4294982749","https://openalex.org/W4296211555","https://openalex.org/W4312373555","https://openalex.org/W4312392196","https://openalex.org/W4312505779","https://openalex.org/W4312611884","https://openalex.org/W4312687583","https://openalex.org/W4313525589","https://openalex.org/W4320001214","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W6620707391","https://openalex.org/W6724804524","https://openalex.org/W6739901393","https://openalex.org/W6785652829","https://openalex.org/W6798838024","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W1834370135","https://openalex.org/W3121197456","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"With":[0],"the":[1,38,42,47,57,62,69,90,109,114,120,131,137,155,164,169,181,189],"wide":[2],"application":[3],"of":[4,50,122,139,158],"remote":[5,14,33,54,83],"sensing":[6,15,34,55,84],"images":[7],"(RSIs)":[8],"in":[9,113,143,168],"military":[10],"and":[11,41,53,107,166,213],"civil":[12],"fields,":[13],"object":[16,35,85,141,195],"detection":[17,58,79,142,196],"(RSOD)":[18],"has":[19],"gradually":[20,161],"become":[21],"a":[22,73,98,146],"hot":[23],"research":[24],"direction.":[25],"However,":[26],"we":[27,96,129],"observe":[28],"two":[29,93],"main":[30],"challenges":[31],"for":[32,61,68,82],"detection,":[36,86],"namely":[37],"complicated":[39],"background":[40,124,165],"small":[43,159,194],"objects":[44,52,160],"issues.":[45],"Given":[46],"different":[48],"appearances":[49],"generic":[51],"objects,":[56],"algorithms":[59],"designed":[60],"former":[63],"usually":[64],"cannot":[65],"perform":[66],"well":[67],"latter.":[70],"We":[71],"propose":[72],"novel":[74],"global":[75,99],"to":[76,88,105,135,153],"local":[77,147],"scale-aware":[78],"network":[80,134],"(GLSANet)":[81],"aiming":[87],"solve":[89],"above":[91],"mentioned":[92],"challenges.":[94],"Firstly,":[95],"design":[97],"semantic":[100,111],"information":[101,112],"interaction":[102],"module":[103],"(GSIIM)":[104],"excavate":[106],"reinforce":[108],"high-level":[110],"deep":[115],"feature":[116,132,156,171],"map,":[117],"which":[118],"alleviates":[119],"obstacles":[121],"complex":[123],"on":[125,175,193,204,210,216],"foreground":[126],"objects.":[127],"Secondly,":[128],"optimize":[130],"pyramid":[133,149],"improve":[136],"performance":[138,186],"multiscale":[140],"RSIs.":[144],"Finally,":[145],"attention":[148],"(LAP)":[150],"is":[151],"introduced":[152],"highlight":[154],"representation":[157],"while":[162],"suppressing":[163],"noise":[167],"shallower":[170],"maps.":[172],"Extensive":[173],"experiments":[174],"three":[176],"public":[177],"datasets":[178],"demonstrate":[179],"that":[180],"proposed":[182],"method":[183],"achieves":[184],"superior":[185],"compared":[187],"with":[188],"state-of-the-art":[190],"detectors,":[191],"especially":[192],"dataset.":[197],"Specifically,":[198],"our":[199],"algorithm":[200],"reaches":[201],"94.57%":[202],"mAP":[203,209,215],"NWPU":[205],"VHR-10":[206],"dataset,":[207,218],"95.93%":[208],"RSOD":[211],"dataset":[212],"77.9%":[214],"DIOR":[217],"respectively.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":64},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
