{"id":"https://openalex.org/W3039238486","doi":"https://doi.org/10.1109/lgrs.2020.3004061","title":"Object Detection Based on Efficient Multiscale Auto-Inference in Remote Sensing Images","display_name":"Object Detection Based on Efficient Multiscale Auto-Inference in Remote Sensing Images","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3039238486","doi":"https://doi.org/10.1109/lgrs.2020.3004061","mag":"3039238486"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3004061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3004061","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/A5043987125","display_name":"Shaojing Zhang","orcid":"https://orcid.org/0000-0002-0148-6124"},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojing Zhang","raw_affiliation_strings":["Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0148-6124","affiliations":[{"raw_affiliation_string":"Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210126638"]},{"raw_affiliation_string":"Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109081090","display_name":"Xiaodong Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Mu","raw_affiliation_strings":["Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210126638"]},{"raw_affiliation_string":"Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079032021","display_name":"Guangjie Kou","orcid":"https://orcid.org/0000-0002-7808-1838"},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjie Kou","raw_affiliation_strings":["Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210126638"]},{"raw_affiliation_string":"Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103224748","display_name":"Jingyu Zhao","orcid":"https://orcid.org/0000-0001-8214-0469"},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Zhao","raw_affiliation_strings":["Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8214-0469","affiliations":[{"raw_affiliation_string":"Computer Department, Xi\u2019an Research Institute of Hi-Tech, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210126638"]},{"raw_affiliation_string":"Computer Department, Xi'an Research Institute of Hi-Tech, Xi'an, China","institution_ids":["https://openalex.org/I4210126638"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043987125"],"corresponding_institution_ids":["https://openalex.org/I4210126638"],"apc_list":null,"apc_paid":null,"fwci":2.4851,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91225318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"9","first_page":"1650","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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":0.9966999888420105,"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":0.8378280401229858},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7463327646255493},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7360013127326965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7335075736045837},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6718842387199402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060440897941589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4913131296634674},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46768003702163696},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4504280686378479},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44745558500289917},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43326759338378906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4291870594024658},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.323630154132843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30529385805130005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378280401229858},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7463327646255493},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7360013127326965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335075736045837},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6718842387199402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060440897941589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4913131296634674},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46768003702163696},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4504280686378479},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44745558500289917},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43326759338378906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4291870594024658},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.323630154132843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30529385805130005},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3004061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3004061","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1988254700","https://openalex.org/W2102605133","https://openalex.org/W2412588858","https://openalex.org/W2461725797","https://openalex.org/W2613718673","https://openalex.org/W2768489488","https://openalex.org/W2789436332","https://openalex.org/W2888527098","https://openalex.org/W2910778976","https://openalex.org/W2921357635","https://openalex.org/W2936404177","https://openalex.org/W2951720561","https://openalex.org/W2963037989","https://openalex.org/W2963323244","https://openalex.org/W2964979676","https://openalex.org/W2990631821","https://openalex.org/W2992240579","https://openalex.org/W3009447447","https://openalex.org/W3106250896","https://openalex.org/W6761481031","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4292830139","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Object":[0,12],"detection":[1,13,155],"in":[2,9,33,119,157],"remote":[3,36,158],"sensing":[4,37,159],"images":[5],"has":[6],"important":[7],"applications":[8],"various":[10],"aspects.":[11],"algorithms":[14],"with":[15,83],"deep":[16],"convolutional":[17,112],"neural":[18,48,113],"networks":[19],"(DCNNs)":[20],"have":[21],"made":[22],"remarkable":[23],"progress.":[24],"However,":[25],"when":[26],"processing":[27,104],"objects":[28,85],"on":[29,86,99],"vastly":[30],"multiple":[31],"scales":[32,101],"high-resolution":[34],"optical":[35],"images,":[38],"there":[39],"is":[40,59,117,123],"a":[41,77,87],"high":[42],"computational":[43],"cost.":[44],"Therefore,":[45],"to":[46,61,80],"simplify":[47],"network":[49,79,114],"multiscale":[50,56],"training":[51,120,152],"and":[52,65,90,121,141,154],"inference,":[53],"an":[54,72,105],"automatic":[55],"inference":[57],"framework":[58],"proposed":[60],"balance":[62],"the":[63,96,127,137,142,151],"speed":[64],"accuracy":[66,156],"of":[67,103],"object":[68],"detection.":[69],"We":[70],"use":[71],"attention":[73],"mechanism":[74],"that":[75,116,146],"uses":[76],"key-point":[78],"predict":[81],"regions":[82,93],"small":[84],"coarse":[88],"scale":[89,108],"only":[91],"process":[92],"obtained":[94],"from":[95],"first":[97],"stage":[98],"finer":[100],"instead":[102],"entire":[106],"larger":[107],"image.":[109],"The":[110,131],"fully":[111],"(CNN)":[115],"used":[118],"detecting":[122],"not":[124],"affected":[125],"by":[126],"image":[128],"input":[129],"resolution.":[130],"experiments":[132],"are":[133],"carried":[134],"out":[135],"using":[136],"NWPUVHR-10":[138],"data":[139],"set,":[140],"experimental":[143],"results":[144],"show":[145],"these":[147],"methods":[148],"can":[149],"improve":[150],"efficiency":[153],"images.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}