{"id":"https://openalex.org/W4412403702","doi":"https://doi.org/10.1109/lgrs.2025.3588788","title":"A Lightweight Hybrid Network for Object Detection in Remote Sensing Images Balancing Global and Local Information","display_name":"A Lightweight Hybrid Network for Object Detection in Remote Sensing Images Balancing Global and Local Information","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412403702","doi":"https://doi.org/10.1109/lgrs.2025.3588788"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3588788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3588788","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/A5112627913","display_name":"Shuting Huang","orcid":"https://orcid.org/0000-0001-5570-1750"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuting Huang","raw_affiliation_strings":["School of Electronic Information, Guilin University of Electronic Technology, Beihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Guilin University of Electronic Technology, Beihai, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036811916","display_name":"Ge Zhang","orcid":"https://orcid.org/0000-0003-3166-3627"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031284290","display_name":"H. Zhang","orcid":"https://orcid.org/0009-0006-4856-5221"},"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":"Huanzun Zhang","raw_affiliation_strings":["Stony Brook Institute, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-4856-5221","affiliations":[{"raw_affiliation_string":"Stony Brook Institute, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077533270","display_name":"Hui Xu","orcid":"https://orcid.org/0000-0003-2970-3984"},"institutions":[{"id":"https://openalex.org/I4210087986","display_name":"Changchun Discovery Sciences (China)","ror":"https://ror.org/007e7b187","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xu","raw_affiliation_strings":["Smart Welfare Collaborative Research Center, Changchun Humanities and Sciences College, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2970-3984","affiliations":[{"raw_affiliation_string":"Smart Welfare Collaborative Research Center, Changchun Humanities and Sciences College, Changchun, China","institution_ids":["https://openalex.org/I4210087986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065454900","display_name":"Guangzhen Yao","orcid":"https://orcid.org/0009-0002-1323-6998"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhen Yao","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0002-1323-6998","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100598322","display_name":"Sandong Zhu","orcid":"https://orcid.org/0009-0005-2104-9887"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sandong Zhu","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0005-2104-9887","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045085666","display_name":"Long Zhang","orcid":"https://orcid.org/0000-0001-8732-1373"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhang","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102736976","display_name":"Jun Kong","orcid":"https://orcid.org/0000-0001-7095-2400"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Kong","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-7095-2400","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.762,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75219478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9836999773979187,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9836999773979187,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9753999710083008,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9675999879837036,"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":0.7344179749488831},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6056382656097412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.450158029794693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44540631771087646},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4434796869754791},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40760165452957153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24576407670974731},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09580349922180176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344179749488831},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6056382656097412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.450158029794693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44540631771087646},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4434796869754791},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40760165452957153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24576407670974731},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09580349922180176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3588788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3588788","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/G7465092989","display_name":null,"funder_award_id":"JKH20241729KJ","funder_id":"https://openalex.org/F4320326270","funder_display_name":"Education Department of Jilin Province"},{"id":"https://openalex.org/G8188018997","display_name":null,"funder_award_id":"62272096","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/F4320326270","display_name":"Education Department of Jilin Province","ror":"https://ror.org/05782e512"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3160694286","https://openalex.org/W4389352355","https://openalex.org/W4392910325","https://openalex.org/W4406856734"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,17,68],"recent":[1],"years,":[2],"hybrid":[3,122],"convolutional":[4],"neural":[5],"networks":[6],"(CNNs)":[7],"and":[8,64,79,95,107,120,135,149,168,175,188,202],"Transformer-based":[9],"object":[10],"detection":[11,36,97,124,203],"technologies":[12],"have":[13],"achieved":[14],"remarkable":[15],"success.":[16],"the":[18,101,130,136,159,172],"field":[19],"of":[20,33,92,129],"remote":[21,26,113,181],"sensing":[22,27,114,182],"image":[23],"detection,":[24],"since":[25],"systems":[28],"rely":[29],"on":[30,180],"large-scale":[31],"deployment":[32],"edge":[34],"devices,":[35],"models":[37,54,83],"need":[38],"to":[39,46,48,89,152],"be":[40],"lightweight":[41,53,112,121],"with":[42,57],"low":[43],"parameter":[44],"complexity":[45],"adapt":[47],"resource-constrained":[49],"environments.":[50],"However,":[51],"existing":[52],"often":[55,84],"struggle":[56],"an":[58,118],"imbalance":[59,102],"in":[60,111,158],"extracting":[61],"low-frequency":[62,104],"global":[63,105],"high-frequency":[65,72,108,155],"local":[66,73,93,109,156],"information.":[67],"particular,":[69],"when":[70],"processing":[71],"information":[74,106,110,157],"(such":[75],"as":[76],"edges,":[77],"textures,":[78],"fine":[80],"structures),":[81],"these":[82],"lack":[85],"in-depth":[86],"analysis,":[87],"leading":[88],"insufficient":[90],"extraction":[91],"features":[94],"reduced":[96],"accuracy.":[98],"To":[99],"address":[100],"between":[103,199],"models,":[115],"we":[116],"propose":[117],"efficient":[119],"network":[123],"framework,":[125],"which":[126],"mainly":[127],"consists":[128],"Global-Local":[131],"Balance":[132],"(GLB)":[133],"module":[134,144,163],"Detail-Aware":[137],"Feature":[138],"Fusion":[139],"(DAFF)":[140],"module.":[141],"The":[142,161],"GLB":[143],"adopts":[145],"dynamic":[146],"weight":[147],"adjustment":[148],"context-aware":[150],"mechanisms":[151],"effectively":[153],"aggregate":[154],"image.":[160],"DAFF":[162],"further":[164],"enhances":[165],"feature":[166],"fusion":[167],"detail":[169],"refinement,":[170],"improving":[171],"model\u2019s":[173],"performance":[174],"generalization":[176],"ability.":[177],"Experimental":[178],"results":[179],"datasets,":[183],"including":[184],"RSOD,":[185],"NWPU":[186],"VHR-10,":[187],"LEVIR,":[189],"demonstrate":[190],"that":[191],"our":[192],"proposed":[193],"method":[194],"achieves":[195],"a":[196],"well-balanced":[197],"trade-off":[198],"model":[200],"size":[201],"accuracy,":[204],"reaching":[205],"state-of-the-art":[206],"performance.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
