{"id":"https://openalex.org/W4281784040","doi":"https://doi.org/10.1186/s13640-022-00586-6","title":"Performance analysis of different DCNN models in remote sensing image object detection","display_name":"Performance analysis of different DCNN models in remote sensing image object detection","publication_year":2022,"publication_date":"2022-06-07","ids":{"openalex":"https://openalex.org/W4281784040","doi":"https://doi.org/10.1186/s13640-022-00586-6"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-022-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-022-00586-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-022-00586-6","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-022-00586-6","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052682270","display_name":"Huaijin Liu","orcid":"https://orcid.org/0000-0002-6641-6469"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaijin Liu","raw_affiliation_strings":["College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, 361021, China"],"raw_orcid":"https://orcid.org/0000-0002-6641-6469","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, 361021, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004062770","display_name":"Ji\u2010Xiang Du","orcid":"https://orcid.org/0000-0003-2386-770X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jixiang Du","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419843","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-0688-2270"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, 361021, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461083","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0001-5536-5224"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Zhang","raw_affiliation_strings":["Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, 361021, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004062770"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.7106,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69846305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8658751249313354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8168007135391235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7310330271720886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6925418972969055},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5605481863021851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278263688087463},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5092021822929382},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5031995177268982},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4787111282348633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42620986700057983}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8658751249313354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8168007135391235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7310330271720886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6925418972969055},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5605481863021851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278263688087463},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5092021822929382},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5031995177268982},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4787111282348633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42620986700057983},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-022-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-022-00586-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-022-00586-6","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46cd18d66521476ca0e948d578ec358a","is_oa":false,"landing_page_url":"https://doaj.org/article/46cd18d66521476ca0e948d578ec358a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2022, Iss 1, Pp 1-18 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-022-00586-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-022-00586-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-022-00586-6","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4116994004","display_name":null,"funder_award_id":"ZQN-YX601","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G4318826728","display_name":null,"funder_award_id":"2019J01082","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5680965574","display_name":null,"funder_award_id":"61673186","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"},{"id":"https://openalex.org/G6322399590","display_name":null,"funder_award_id":"61673186","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6755189036","display_name":null,"funder_award_id":"ZQN-YX601","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"},{"id":"https://openalex.org/G6895662638","display_name":null,"funder_award_id":"2019J01082","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"},{"id":"https://openalex.org/G7374757360","display_name":null,"funder_award_id":"2019J01082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7583257671","display_name":null,"funder_award_id":"61871196","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G806823252","display_name":null,"funder_award_id":"ZQN-YX601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8122362549","display_name":"\u667a\u80fd\u89c6\u9891\u76d1\u63a7\u4e2d\u57fa\u4e8e\u591a\u6a21\u6001\u878d\u5408\u7684\u4eba\u4f53\u884c\u4e3a\u8bc6\u522b\u7814\u7a76","funder_award_id":"61871196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8771767844","display_name":null,"funder_award_id":"61871196","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"},{"id":"https://openalex.org/G988249013","display_name":null,"funder_award_id":"61673186","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322182","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281784040.pdf","grobid_xml":"https://content.openalex.org/works/W4281784040.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2109255472","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2559655401","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2769613401","https://openalex.org/W2789522858","https://openalex.org/W2809864622","https://openalex.org/W2922509574","https://openalex.org/W2928165649","https://openalex.org/W2962749812","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964350391","https://openalex.org/W2970971581","https://openalex.org/W2982083293","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3035414587","https://openalex.org/W3042011474","https://openalex.org/W3106250896","https://openalex.org/W6600194071"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W2969228573","https://openalex.org/W3034745255"],"abstract_inverted_index":{"Abstract":[0],"In":[1,35,136],"recent":[2],"years,":[3],"deep":[4,7,48,146],"learning,":[5],"especially":[6],"convolutional":[8,49,83,117,147],"neural":[9,50,84,118,148],"networks":[10,51,85],"(DCNN),":[11],"has":[12],"made":[13],"great":[14],"progress.":[15],"Many":[16],"researchers":[17],"use":[18,39],"different":[19,31],"DCNN":[20,28],"models":[21,29],"to":[22,44,66,115,131,154],"detect":[23],"remote":[24,56,100,110],"sensing":[25,57,101,111],"targets.":[26],"Different":[27],"have":[30],"advantages":[32,69],"and":[33,62,90],"disadvantages.":[34],"this":[36],"paper,":[37],"we":[38,120,150],"YoloV4":[40],"as":[41],"the":[42,68,76,79,93,105,133,139],"detector":[43],"\u201cfine-tune\u201d":[45],"various":[46,71],"mainstream":[47],"on":[52],"two":[53],"large":[54,140],"public":[55],"data":[58,60,64],"sets\u2212LEVIR":[59],"set":[61,65],"DOTA":[63],"compare":[67],"of":[70,81,95,108,125,142],"networks.":[72],"This":[73],"paper":[74],"analyzes":[75],"reasons":[77],"why":[78],"effect":[80],"\u201cfine-tuning\u201d":[82,116],"is":[86],"sometimes":[87],"not":[88],"good,":[89],"points":[91],"out":[92],"difficulties":[94],"object":[96],"detection":[97,106,134],"in":[98,113],"optical":[99,109],"images.":[102],"To":[103],"improve":[104,132],"accuracy":[107],"targets,":[112],"addition":[114],"network,":[119,149],"also":[121],"provide":[122,151],"a":[123,152],"variety":[124],"adaptive":[126],"multi-scale":[127],"feature":[128],"fusion":[129],"methods":[130],"accuracy.":[135],"addition,":[137],"for":[138],"number":[141],"parameters":[143],"generated":[144],"by":[145],"method":[153],"save":[155],"storage":[156],"space.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}