{"id":"https://openalex.org/W2789609993","doi":"https://doi.org/10.3390/rs10010131","title":"Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network","display_name":"Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network","publication_year":2018,"publication_date":"2018-01-18","ids":{"openalex":"https://openalex.org/W2789609993","doi":"https://doi.org/10.3390/rs10010131","mag":"2789609993"},"language":"en","primary_location":{"id":"doi:10.3390/rs10010131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010131","pdf_url":"https://www.mdpi.com/2072-4292/10/1/131/pdf?version=1516263943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/1/131/pdf?version=1516263943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100648538","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8616-0221"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China","The CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"The CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China","The CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"The CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003692319","display_name":"Haijian Zhang","orcid":"https://orcid.org/0000-0001-8314-6563"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijian Zhang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068604294","display_name":"Guang Hua","orcid":"https://orcid.org/0000-0001-5184-4359"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Hua","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069540177"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":19.8651,"has_fulltext":true,"cited_by_count":174,"citation_normalized_percentile":{"value":0.99368061,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"131","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7913424372673035},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7830284833908081},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.695497989654541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436034440994263},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6175078749656677},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6145975589752197},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5417206883430481},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5356995463371277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5240203142166138},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45396432280540466},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43486249446868896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4116944670677185},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09913352131843567},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07932060956954956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913424372673035},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7830284833908081},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.695497989654541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436034440994263},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6175078749656677},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6145975589752197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5417206883430481},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5356995463371277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5240203142166138},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45396432280540466},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43486249446868896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4116944670677185},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09913352131843567},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07932060956954956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10010131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010131","pdf_url":"https://www.mdpi.com/2072-4292/10/1/131/pdf?version=1516263943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:93dd7796dca242779f2718d6abaa1b27","is_oa":true,"landing_page_url":"https://doaj.org/article/93dd7796dca242779f2718d6abaa1b27","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 1, p 131 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/1/131/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10010131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 1; Pages: 131","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10010131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10010131","pdf_url":"https://www.mdpi.com/2072-4292/10/1/131/pdf?version=1516263943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2572706730","display_name":null,"funder_award_id":"No. 61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2826947016","display_name":null,"funder_award_id":"61331016)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8376165696","display_name":null,"funder_award_id":"61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8558471830","display_name":null,"funder_award_id":"No.61331016","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/F4320328844","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789609993.pdf","grobid_xml":"https://content.openalex.org/works/W2789609993.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W588311603","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1555328055","https://openalex.org/W1903029394","https://openalex.org/W1966411833","https://openalex.org/W1969840923","https://openalex.org/W1987464076","https://openalex.org/W2002631607","https://openalex.org/W2005368619","https://openalex.org/W2020436006","https://openalex.org/W2020912318","https://openalex.org/W2024106491","https://openalex.org/W2029332336","https://openalex.org/W2037034832","https://openalex.org/W2039074021","https://openalex.org/W2041972612","https://openalex.org/W2049677900","https://openalex.org/W2049916020","https://openalex.org/W2053514113","https://openalex.org/W2058436841","https://openalex.org/W2063411532","https://openalex.org/W2073534752","https://openalex.org/W2087697413","https://openalex.org/W2089323055","https://openalex.org/W2098676252","https://openalex.org/W2102605133","https://openalex.org/W2103079830","https://openalex.org/W2127839699","https://openalex.org/W2142704643","https://openalex.org/W2152449524","https://openalex.org/W2161106546","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2193145675","https://openalex.org/W2222317246","https://openalex.org/W2241675565","https://openalex.org/W2298672219","https://openalex.org/W2308318555","https://openalex.org/W2400138547","https://openalex.org/W2490270993","https://openalex.org/W2512351403","https://openalex.org/W2515866431","https://openalex.org/W2565639579","https://openalex.org/W2577537809","https://openalex.org/W2612676323","https://openalex.org/W2733535455","https://openalex.org/W2962917547","https://openalex.org/W2962982769","https://openalex.org/W2963037989","https://openalex.org/W2963516811","https://openalex.org/W3105577662","https://openalex.org/W3106250896","https://openalex.org/W4239510810","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2004086023","https://openalex.org/W4367313141","https://openalex.org/W2733999579","https://openalex.org/W2910751785","https://openalex.org/W2110217573","https://openalex.org/W4366547507","https://openalex.org/W4283374591","https://openalex.org/W4387891126","https://openalex.org/W1595427329","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Daily":[0],"acquisition":[1],"of":[2,5,15,34,85,98,180,195],"large":[3],"amounts":[4],"aerial":[6],"and":[7,91,171],"satellite":[8,43],"images":[9],"has":[10,46],"facilitated":[11],"subsequent":[12],"automatic":[13],"interpretations":[14],"these":[16,145],"images.":[17,82],"One":[18],"such":[19],"interpretation":[20],"is":[21],"object":[22,78,88,94,129,136,146,151,158,168],"detection.":[23],"Despite":[24],"the":[25,32,54,127,139,149,178,181,188],"great":[26],"progress":[27],"made":[28],"in":[29,40,80],"this":[30,64],"domain,":[31],"detection":[33,55,79,95,152,169],"multi-scale":[35,71,87,93,102,128,150],"objects,":[36],"especially":[37],"small":[38],"objects":[39,120],"high":[41,134],"resolution":[42],"(HRS)":[44],"images,":[45],"not":[47],"been":[48],"adequately":[49],"explored.":[50],"As":[51],"a":[52,69,86,92,101,156,163,205],"result,":[53],"performance":[56],"turns":[57],"out":[58],"to":[59,116,132,154],"be":[60,117],"poor.":[61],"To":[62],"address":[63],"problem,":[65],"we":[66,125,143],"first":[67],"propose":[68],"unified":[70],"convolutional":[72],"neural":[73],"network":[74,90,107,131,153],"(CNN)":[75],"for":[76,119],"geospatial":[77],"HRS":[81],"It":[83],"consists":[84],"proposal":[89,130],"network,":[96],"both":[97],"which":[99],"share":[100],"base":[103,106],"network.":[104],"The":[105,184],"can":[108],"produce":[109],"feature":[110,140],"maps":[111],"with":[112,121,148,173],"different":[113,122],"receptive":[114],"fields":[115],"responsible":[118],"scales.":[123],"Then,":[124],"use":[126,144],"generate":[133],"quality":[135],"proposals":[137,147],"from":[138],"maps.":[141],"Finally,":[142],"train":[155],"good":[157],"detector.":[159],"Comprehensive":[160],"evaluations":[161],"on":[162,204],"publicly":[164],"available":[165],"remote":[166],"sensing":[167],"dataset":[170],"comparisons":[172],"several":[174],"state-of-the-art":[175],"approaches":[176],"demonstrate":[177],"effectiveness":[179],"presented":[182],"method.":[183],"proposed":[185],"method":[186],"achieves":[187],"best":[189],"mean":[190],"average":[191],"precision":[192],"(mAP)":[193],"value":[194],"89.6%,":[196],"runs":[197],"at":[198],"10":[199],"frames":[200],"per":[201],"second":[202],"(FPS)":[203],"GTX":[206],"1080Ti":[207],"GPU.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":8}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2018-03-29T00:00:00"}
