{"id":"https://openalex.org/W2935869220","doi":"https://doi.org/10.1109/ccis.2018.8691238","title":"Object Detection in Optical Remote Sensing Images Based on Transfer Learning Convolutional Neural Networks","display_name":"Object Detection in Optical Remote Sensing Images Based on Transfer Learning Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2935869220","doi":"https://doi.org/10.1109/ccis.2018.8691238","mag":"2935869220"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-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/A5073889040","display_name":"Zhenguo Yan","orcid":"https://orcid.org/0000-0001-6608-7629"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenguo Yan","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078812204","display_name":"Xin Song","orcid":"https://orcid.org/0000-0001-6700-8670"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Song","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046161851","display_name":"Hanyang Zhong","orcid":"https://orcid.org/0000-0003-2450-0555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyang Zhong","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062821547","display_name":"Xiaozhou Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaozhou Zhu","raw_affiliation_strings":["National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 100071, China"],"affiliations":[{"raw_affiliation_string":"National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 100071, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073889040"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.2043321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"935","last_page":"942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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":0.998199999332428,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962000250816345,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8002218008041382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991437911987305},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7435124516487122},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7037155032157898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6813452839851379},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6464676260948181},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5399577021598816},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5246165990829468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501917839050293},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4916282296180725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43275901675224304},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4203539490699768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09386205673217773}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8002218008041382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991437911987305},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7435124516487122},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7037155032157898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6813452839851379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6464676260948181},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5399577021598816},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5246165990829468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501917839050293},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4916282296180725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43275901675224304},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4203539490699768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09386205673217773},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W425251948","https://openalex.org/W639708223","https://openalex.org/W1578066333","https://openalex.org/W2066268896","https://openalex.org/W2066916495","https://openalex.org/W2088049833","https://openalex.org/W2108598243","https://openalex.org/W2114061939","https://openalex.org/W2165698076","https://openalex.org/W2183182206","https://openalex.org/W2194775991","https://openalex.org/W2768931328","https://openalex.org/W2963037989","https://openalex.org/W2963549237","https://openalex.org/W4293584584"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2969228573"],"abstract_inverted_index":{"The":[0,62],"object":[1,34,42,51,79],"detection":[2,52,85,101],"of":[3,13,25,41,75,103,123],"high-resolution":[4],"optical":[5],"remote":[6,14,76],"sensing":[7,15,77],"images":[8],"is":[9,107],"an":[10],"important":[11],"part":[12],"technology.":[16],"It":[17],"has":[18,111],"significant":[19],"application":[20],"value,":[21],"but":[22],"the":[23,33,39,60,67,71,95,99,124],"influence":[24],"various":[26],"imaging":[27],"factors":[28],"usually":[29],"causes":[30],"changes":[31,122],"in":[32,94],"features":[35],"which":[36,81,110],"greatly":[37],"increases":[38],"difficulty":[40],"detection.":[43],"This":[44],"paper":[45],"proposes":[46],"a":[47],"depth":[48],"regression-based":[49],"CNN":[50],"algorithm":[53,68,88],"combined":[54],"with":[55],"transfer":[56],"learning":[57],"to":[58,118],"overcome":[59],"difficulty.":[61],"experiments":[63],"have":[64],"shown":[65],"that":[66],"effectively":[69],"improves":[70],"speed":[72],"and":[73,98,115,120],"precision":[74,92],"image":[78,105],"detection,":[80],"outperforms":[82],"other":[83],"state-of-the-art":[84],"methods.":[86],"Our":[87],"achieves":[89],"90.70%":[90],"average":[91,100],"(AP)":[93],"test":[96],"set":[97],"time":[102,113],"each":[104],"block":[106],"about":[108],"0.021s,":[109],"lower":[112],"overhead":[114],"better":[116],"robustness":[117],"rotation":[119],"illumination":[121],"object.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}