{"id":"https://openalex.org/W2994928934","doi":"https://doi.org/10.1109/tgrs.2019.2953119","title":"Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object Scale Features","display_name":"Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object Scale Features","publication_year":2019,"publication_date":"2019-12-12","ids":{"openalex":"https://openalex.org/W2994928934","doi":"https://doi.org/10.1109/tgrs.2019.2953119","mag":"2994928934"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2953119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2953119","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/A5022084086","display_name":"Zhipeng Dong","orcid":"https://orcid.org/0000-0003-3665-1350"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhipeng Dong","raw_affiliation_strings":["State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742710","display_name":"Mi Wang","orcid":"https://orcid.org/0000-0003-2799-5987"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413373","display_name":"Yanli Wang","orcid":"https://orcid.org/0000-0002-4054-311X"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041988267","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0002-5708-3252"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765063","display_name":"Zhiqi Zhang","orcid":"https://orcid.org/0000-0003-1914-9430"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqi Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering inSurveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022084086"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":9.5927,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.98144776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"58","issue":"3","first_page":"2104","last_page":"2114"},"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/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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/object-detection","display_name":"Object detection","score":0.8163554668426514},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8087307214736938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7959163188934326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7816136479377747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6846370100975037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5861659646034241},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.572387158870697},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5678708553314209},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5602295994758606},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5571164488792419},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5107665061950684},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43445661664009094},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4317552149295807},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.10742631554603577}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.8163554668426514},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8087307214736938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7959163188934326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816136479377747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6846370100975037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5861659646034241},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.572387158870697},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5678708553314209},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5602295994758606},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5571164488792419},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5107665061950684},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43445661664009094},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4317552149295807},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.10742631554603577},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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/tgrs.2019.2953119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2953119","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1076515565","display_name":null,"funder_award_id":"91638301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G193207671","display_name":null,"funder_award_id":"91738302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7031659661","display_name":null,"funder_award_id":"91838303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8741587450","display_name":null,"funder_award_id":"61825103","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W2002281921","https://openalex.org/W2049677900","https://openalex.org/W2051936565","https://openalex.org/W2059357486","https://openalex.org/W2085625911","https://openalex.org/W2088049833","https://openalex.org/W2100470808","https://openalex.org/W2104210067","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2116019572","https://openalex.org/W2147800946","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2161969291","https://openalex.org/W2163994077","https://openalex.org/W2183182206","https://openalex.org/W2193145675","https://openalex.org/W2245000483","https://openalex.org/W2296151615","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2514087538","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2729822439","https://openalex.org/W2733535455","https://openalex.org/W2754382284","https://openalex.org/W2765538265","https://openalex.org/W2775738386","https://openalex.org/W2779335303","https://openalex.org/W2787630273","https://openalex.org/W2788202095","https://openalex.org/W2789609993","https://openalex.org/W2790203190","https://openalex.org/W2791514264","https://openalex.org/W2796347433","https://openalex.org/W2800388963","https://openalex.org/W2804436788","https://openalex.org/W2804822190","https://openalex.org/W2900702559","https://openalex.org/W2950800384","https://openalex.org/W2962835968","https://openalex.org/W2963037989","https://openalex.org/W3099008583","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6714138976","https://openalex.org/W6725924496","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W4205668735","https://openalex.org/W2901758161","https://openalex.org/W4297797959","https://openalex.org/W4297491714","https://openalex.org/W3114299475","https://openalex.org/W4312834249","https://openalex.org/W3108847140","https://openalex.org/W3209429418","https://openalex.org/W4387272257"],"abstract_inverted_index":{"Object":[0],"detection":[1,30,57,77,97,133,171],"in":[2,40,89,98,173],"high":[3],"spatial":[4],"resolution":[5],"remote":[6],"sensing":[7],"images":[8],"(HSRIs)":[9],"is":[10,78,100,134,146],"an":[11],"important":[12],"part":[13],"of":[14,24,28,75,87,107,131],"image":[15],"information":[16],"automatic":[17],"extraction,":[18],"analysis,":[19],"and":[20,31,120,136,167],"understanding.":[21],"The":[22,110,155],"region":[23],"interest":[25],"(ROI)":[26],"scale":[27,68,74,85,106,130],"object":[29,33,42,56,67,76,96,108,111,132,170],"the":[32,71,84,139,143,149,160,164],"feature":[34],"representation":[35],"are":[36],"two":[37,48],"vital":[38],"factors":[39],"HSRI":[41,55],"detection.":[43,109],"With":[44],"respect":[45],"to":[46],"these":[47],"issues,":[49],"this":[50],"article":[51],"presents":[52],"a":[53,92,103,115,123,127],"novel":[54],"method":[58,145,162],"based":[59],"on":[60],"convolutional":[61],"neural":[62],"networks":[63],"(CNNs)":[64],"with":[65,126,148],"suitable":[66,72,104,128],"features.":[69],"First,":[70],"ROI":[73,105,129],"obtained":[79,113],"by":[80],"compiling":[81],"statistics":[82],"for":[83,95],"range":[86],"objects":[88],"HSRIs.":[90,174],"Then,":[91],"CNN":[93,116,124,152],"framework":[94,125,166],"HSRIs":[99],"designed":[101],"using":[102,114],"features":[112],"have":[117],"good":[118,169],"universality":[119],"robustness.":[121],"Finally,":[122],"trained":[135],"tested.":[137],"Using":[138],"WHU-RSONE":[140],"data":[141],"set,":[142],"proposed":[144,161],"compared":[147],"faster":[150],"region-based":[151],"(Faster-RCNN)":[153],"framework.":[154],"experimental":[156],"results":[157,172],"show":[158],"that":[159],"outperforms":[163],"Faster-RCNN":[165],"provides":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
