{"id":"https://openalex.org/W4384080779","doi":"https://doi.org/10.1109/tgrs.2023.3294520","title":"Toward Hierarchical Adaptive Alignment for Aerial Object Detection in Remote Sensing Images","display_name":"Toward Hierarchical Adaptive Alignment for Aerial Object Detection in Remote Sensing Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384080779","doi":"https://doi.org/10.1109/tgrs.2023.3294520"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3294520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3294520","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/A5079668307","display_name":"Chenwei Deng","orcid":"https://orcid.org/0000-0002-3747-5128"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Deng","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3747-5128","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024498727","display_name":"Donglin Jing","orcid":"https://orcid.org/0000-0003-3021-5371"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Jing","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690609","display_name":"Yuqi Han","orcid":"https://orcid.org/0000-0001-7905-0163"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Han","raw_affiliation_strings":["Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7905-0163","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-Time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Grenoble INP GIPSA-Lab, CNRS, Universit&#x00E9; Grenoble Alpes, Grenoble, France"],"raw_orcid":"https://orcid.org/0000-0003-4817-2875","affiliations":[{"raw_affiliation_string":"Grenoble INP GIPSA-Lab, CNRS, Universit&#x00E9; Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7828,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87267469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9977999925613403,"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":0.8336237668991089},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6610158681869507},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6536605954170227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6344001889228821},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.552864134311676},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5520657300949097},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5200178623199463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509262204170227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4949013590812683},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49256235361099243},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48422765731811523},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3620482087135315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2801426649093628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8336237668991089},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6610158681869507},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6536605954170227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6344001889228821},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.552864134311676},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5520657300949097},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5200178623199463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509262204170227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4949013590812683},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49256235361099243},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48422765731811523},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3620482087135315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2801426649093628},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3294520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3294520","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"},{"id":"pmh:oai:HAL:hal-04473544v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04473544","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-15. &#x27E8;10.1109/TGRS.2023.3294520&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1041279674","display_name":null,"funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G692399883","display_name":null,"funder_award_id":"62171040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"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":75,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2061200049","https://openalex.org/W2100503224","https://openalex.org/W2296151615","https://openalex.org/W2412558220","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2596246567","https://openalex.org/W2597117158","https://openalex.org/W2601564443","https://openalex.org/W2725486421","https://openalex.org/W2790688320","https://openalex.org/W2792075695","https://openalex.org/W2796164853","https://openalex.org/W2800388963","https://openalex.org/W2802773275","https://openalex.org/W2884561390","https://openalex.org/W2899594603","https://openalex.org/W2949058942","https://openalex.org/W2950800384","https://openalex.org/W2953867371","https://openalex.org/W2962721361","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963113370","https://openalex.org/W2963179609","https://openalex.org/W2963516811","https://openalex.org/W2964241181","https://openalex.org/W2964294787","https://openalex.org/W2964632911","https://openalex.org/W2964979676","https://openalex.org/W2967487473","https://openalex.org/W2991322429","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2993501994","https://openalex.org/W3004492228","https://openalex.org/W3015331846","https://openalex.org/W3022917557","https://openalex.org/W3035524459","https://openalex.org/W3046174881","https://openalex.org/W3080104546","https://openalex.org/W3080577187","https://openalex.org/W3102710196","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3108849448","https://openalex.org/W3119027652","https://openalex.org/W3121842289","https://openalex.org/W3134025014","https://openalex.org/W3136761610","https://openalex.org/W3141404903","https://openalex.org/W3144293580","https://openalex.org/W3167308647","https://openalex.org/W3172087149","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3182848941","https://openalex.org/W3201333051","https://openalex.org/W3214821343","https://openalex.org/W4211114389","https://openalex.org/W4211247672","https://openalex.org/W4229032258","https://openalex.org/W4285109597","https://openalex.org/W4285295475","https://openalex.org/W4293075084","https://openalex.org/W4308173664","https://openalex.org/W6714138976","https://openalex.org/W6739844568","https://openalex.org/W6766548695","https://openalex.org/W6770689091","https://openalex.org/W6779586474","https://openalex.org/W6785652829","https://openalex.org/W6801825488"],"related_works":["https://openalex.org/W4396860960","https://openalex.org/W2972256598","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474","https://openalex.org/W2099047584","https://openalex.org/W4327521163","https://openalex.org/W4387801831"],"abstract_inverted_index":{"The":[0],"aerial":[1,26,159],"objects":[2],"tend":[3],"to":[4,47,105,124,141],"distribute":[5],"with":[6,38,169],"a":[7,80],"major":[8],"variation":[9],"on":[10,35],"the":[11,25,30,48,51,56,62,69,72,90,107,110,120,134],"scale":[12],"and":[13,42,61,99,113,165],"arbitrary":[14],"orientations":[15],"in":[16,156],"remote":[17],"sensing":[18],"images.":[19],"To":[20,74],"meet":[21],"such":[22],"characteristics":[23],"of":[24,29,50,53,58,65,71,109],"object,":[27],"most":[28],"existing":[31],"anchor-based":[32],"detectors":[33],"rely":[34],"preset":[36,66],"anchors":[37],"variable":[39],"scales,":[40],"angles,":[41],"aspect":[43],"ratios,":[44],"which":[45],"leads":[46],"misalignment":[49,108],"selection":[52],"candidate":[54],"regions,":[55],"extraction":[57],"object":[59,160],"features,":[60],"label":[63,114],"assignment":[64],"boxes,":[67],"interfering":[68],"performance":[70,155],"detector.":[73],"address":[75],"this":[76],"issue,":[77],"we":[78,87,118],"propose":[79],"Hierarchical":[81],"Adaptive":[82],"Alignment":[83,96],"Network":[84],"(HAA-Net).":[85],"Specifically,":[86],"first":[88],"design":[89],"Region":[91],"Refinement":[92],"Module":[93,103],"(RRM),":[94],"Feature":[95],"module":[97],"(FAM),":[98],"Potential":[100],"Label":[101],"Assignment":[102],"(PLAM)":[104],"alleviate":[106],"region,":[111],"feature,":[112],"levels":[115],"respectively;":[116],"furthermore,":[117],"use":[119],"gradient":[121],"equalization":[122],"strategy":[123],"jointly":[125],"optimize":[126],"these":[127],"modules":[128],"at":[129],"different":[130],"levels,":[131],"so":[132],"that":[133,149],"whole":[135],"network":[136],"can":[137,152],"be":[138],"fully":[139],"trained":[140],"significantly":[142],"improve":[143],"detection":[144],"performance.":[145],"Extensive":[146],"experiments":[147],"demonstrate":[148],"our":[150],"approach":[151],"achieve":[153],"superior":[154],"three":[157],"common":[158],"datasets":[161],"(e.g.,":[162],"DOTA,":[163],"HRSC2016,":[164],"UCAS-AOD)":[166],"when":[167],"compared":[168],"state-of-the-art":[170],"detectors.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
