{"id":"https://openalex.org/W3013696364","doi":"https://doi.org/10.1109/lgrs.2020.2975086","title":"A Specially Optimized One-Stage Network for Object Detection in Remote Sensing Images","display_name":"A Specially Optimized One-Stage Network for Object Detection in Remote Sensing Images","publication_year":2020,"publication_date":"2020-03-24","ids":{"openalex":"https://openalex.org/W3013696364","doi":"https://doi.org/10.1109/lgrs.2020.2975086","mag":"3013696364"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.2975086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2975086","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/A5032545858","display_name":"Haonan Qin","orcid":"https://orcid.org/0000-0002-1272-858X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Qin","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1272-858X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0234-6270","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007285444","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0003-0851-6565"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lei","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0851-6565","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052163069","display_name":"Weiying Xie","orcid":"https://orcid.org/0000-0001-8310-024X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Xie","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8310-024X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023418635","display_name":"Zhuo Wang","orcid":"https://orcid.org/0000-0002-4582-3401"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.2726,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82216081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"401","last_page":"405"},"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":0.9994000196456909,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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":0.8181583881378174},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5817335844039917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5388637781143188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5357298851013184},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5133180022239685},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.44000065326690674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43244582414627075},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42141860723495483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4035005271434784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3434537649154663},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1804153025150299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181583881378174},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5817335844039917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5388637781143188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357298851013184},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5133180022239685},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.44000065326690674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43244582414627075},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42141860723495483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4035005271434784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3434537649154663},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1804153025150299},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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.2020.2975086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2975086","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/G1147426558","display_name":null,"funder_award_id":"JB180104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1424917938","display_name":null,"funder_award_id":"61701360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1595715893","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4131587450","display_name":"\u56fe\u50cf\u7b97\u672f\u7f16\u7801\u7279\u5f81\u53ca\u540c\u6b65\u6280\u672f\u7814\u7a76","funder_award_id":"61571345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507359911","display_name":null,"funder_award_id":"61502367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657849150","display_name":null,"funder_award_id":"91538101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7389467270","display_name":null,"funder_award_id":"2017M620440","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7594473715","display_name":null,"funder_award_id":"61801359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G841248577","display_name":null,"funder_award_id":"61501346","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2194775991","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2570343428","https://openalex.org/W2779335303","https://openalex.org/W2796347433","https://openalex.org/W2803867573","https://openalex.org/W2884276099","https://openalex.org/W2890715498","https://openalex.org/W2890732922","https://openalex.org/W2904973712","https://openalex.org/W2906506339","https://openalex.org/W2910778976","https://openalex.org/W2926837263","https://openalex.org/W2949436339","https://openalex.org/W2963604034","https://openalex.org/W2964121718","https://openalex.org/W2988916019","https://openalex.org/W3099831940","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6750227808","https://openalex.org/W6754632766","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W3149642877","https://openalex.org/W3215923428","https://openalex.org/W4206776094","https://openalex.org/W4328027016","https://openalex.org/W4212888438","https://openalex.org/W3121197456"],"abstract_inverted_index":{"With":[0],"great":[1],"significance":[2],"in":[3,12,125,171,228],"military":[4],"and":[5,43,49,64,80,112,134,141,156,183,186,195,210,214,236],"civilian":[6],"applications,":[7],"detecting":[8],"indistinguishable":[9],"small":[10,53,92],"objects":[11,93],"wide-scale":[13],"remote":[14],"sensing":[15],"images":[16,40],"is":[17,70,99],"still":[18],"a":[19,27,74,146],"challenging":[20],"topic.":[21],"In":[22,159],"this":[23],"letter,":[24],"we":[25,161],"propose":[26],"specially":[28],"optimized":[29],"one-stage":[30],"network":[31,118],"(SOON)":[32],"focusing":[33],"on":[34,200],"extracting":[35],"spatial":[36],"information":[37,51,90],"of":[38,47,52,59,91,123,233],"high-resolution":[39],"by":[41,72,101,137],"understanding":[42],"analyzing":[44],"the":[45,84,89,110,117,132,163,172,181,187,201,211,231,234],"combination":[46],"feature":[48,60,65,147,154],"semantic":[50,157],"objects.":[54,178],"The":[55,67,96,128,225],"SOON":[56],"model":[57],"consists":[58],"enhancement,":[61],"multiscale":[62,188],"detection,":[63],"fusion.":[66],"first":[68],"part":[69,98,130],"implemented":[71],"constructing":[73],"receptive":[75],"field":[76],"enhancement":[77],"(RFE)":[78],"module":[79],"incorporating":[81],"it":[82],"into":[83],"network's":[85],"specific":[86],"parts":[87],"where":[88],"mainly":[94],"exists.":[95],"second":[97],"achieved":[100],"four":[102],"detectors":[103],"with":[104,221],"different":[105,126],"sensitivities,":[106],"which":[107,150],"access":[108],"to":[109,115,119,144,166],"fused":[111],"enhanced":[113],"features":[114,124,136],"enable":[116],"make":[120],"full":[121],"use":[122],"scales.":[127],"third":[129],"consolidates":[131],"high-level":[133],"low-level":[135],"adopting":[138],"upsampling,":[139],"concatenation,":[140],"convolution":[142],"operations":[143],"build":[145],"pyramid":[148],"structure,":[149],"explicitly":[151],"yields":[152],"strong":[153],"representation":[155],"information.":[158],"addition,":[160],"introduce":[162],"soft-nonmaximum":[164],"suppression":[165],"preserve":[167],"accurate":[168],"bounding":[169],"boxes":[170],"postprocessing":[173],"stage":[174],"for":[175],"densely":[176],"arranged":[177],"Note":[179],"that":[180],"split":[182],"merge":[184],"strategy":[185,190],"training":[189],"are":[191,198],"employed.":[192],"Extensive":[193],"experiments":[194,229],"thorough":[196],"analysis":[197],"performed":[199],"NorthWestern":[202],"Polytechnical":[203],"University":[204],"Very-High-Resolution":[205],"(NWPU":[206],"VHR)-10-v2":[207],"data":[208,217],"set":[209,218],"airplane,":[212],"car":[213],"ship":[215],"(ACS)":[216],"as":[219],"compared":[220],"several":[222],"state-of-the-art":[223],"methods.":[224],"satisfactory":[226],"performance":[227],"verifies":[230],"effectiveness":[232],"design":[235],"optimization.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}