{"id":"https://openalex.org/W3031819731","doi":"https://doi.org/10.1109/igarss39084.2020.9323338","title":"Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images","display_name":"Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3031819731","doi":"https://doi.org/10.1109/igarss39084.2020.9323338","mag":"3031819731"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.13215","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063346481","display_name":"Damien Grosgeorge","orcid":"https://orcid.org/0000-0002-0388-2497"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Damien Grosgeorge","raw_affiliation_strings":["Earthcube,Paris,France"],"affiliations":[{"raw_affiliation_string":"Earthcube,Paris,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008950904","display_name":"Maxime Arbelot","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxime Arbelot","raw_affiliation_strings":["Earthcube,Paris,France"],"affiliations":[{"raw_affiliation_string":"Earthcube,Paris,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016693103","display_name":"Alex Goupilleau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Goupilleau","raw_affiliation_strings":["Earthcube,Paris,France"],"affiliations":[{"raw_affiliation_string":"Earthcube,Paris,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016050401","display_name":"T. Ceillier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tugdual Ceillier","raw_affiliation_strings":["Earthcube,Paris,France"],"affiliations":[{"raw_affiliation_string":"Earthcube,Paris,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029611897","display_name":"Renaud Allioux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renaud Allioux","raw_affiliation_strings":["Earthcube,Paris,France"],"affiliations":[{"raw_affiliation_string":"Earthcube,Paris,France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063346481"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04741881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9807000160217285,"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":0.7832469940185547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851297616958618},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6622141003608704},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.654700517654419},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6156275272369385},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5285828709602356},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5073966383934021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49766114354133606},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46333611011505127},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43353524804115295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4240509271621704},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4212172329425812},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.202652245759964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07590192556381226},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0721370279788971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7832469940185547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851297616958618},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6622141003608704},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.654700517654419},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6156275272369385},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5285828709602356},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5073966383934021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49766114354133606},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46333611011505127},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43353524804115295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4240509271621704},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4212172329425812},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.202652245759964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07590192556381226},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0721370279788971},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.13215","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13215","pdf_url":"https://arxiv.org/pdf/2005.13215","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3031819731","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2005.13215","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-02612833v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02612833","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020, Waikoloa, Hawaii, United States","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2005.13215","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.13215","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.13215","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13215","pdf_url":"https://arxiv.org/pdf/2005.13215","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3031819731.pdf","grobid_xml":"https://content.openalex.org/works/W3031819731.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2302255633","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2810392541","https://openalex.org/W2963351448","https://openalex.org/W3100321043","https://openalex.org/W3123941068","https://openalex.org/W6620707391","https://openalex.org/W6639824700","https://openalex.org/W6698183232"],"related_works":["https://openalex.org/W2973315405","https://openalex.org/W2947593667","https://openalex.org/W2771198169","https://openalex.org/W2613825824","https://openalex.org/W2886971406","https://openalex.org/W2770937285","https://openalex.org/W2963442020","https://openalex.org/W2751435194","https://openalex.org/W3003643401","https://openalex.org/W3012042051","https://openalex.org/W2980350025","https://openalex.org/W3083039446","https://openalex.org/W3163906590","https://openalex.org/W2245047273","https://openalex.org/W3121842289","https://openalex.org/W2954156922","https://openalex.org/W3120281566","https://openalex.org/W2610408157","https://openalex.org/W2994928934","https://openalex.org/W2979383914"],"abstract_inverted_index":{"Detecting":[0],"and":[1,19,42,52,73],"identifying":[2],"objects":[3,12],"in":[4],"satellite":[5],"images":[6],"is":[7],"a":[8,38,47,63,68,74],"very":[9,17,28,57],"challenging":[10],"task:":[11],"of":[13],"interest":[14],"are":[15],"often":[16],"small":[18],"features":[20],"can":[21],"be":[22],"difficult":[23],"to":[24,50],"recognize":[25],"even":[26],"using":[27],"high":[29],"resolution":[30],"imagery.":[31],"For":[32],"most":[33],"applications,":[34],"this":[35,89],"translates":[36],"into":[37],"trade-off":[39],"between":[40],"recall":[41],"precision.":[43],"We":[44],"present":[45,86],"here":[46],"dedicated":[48],"method":[49],"detect":[51],"identify":[53],"aircraft,":[54],"combining":[55],"two":[56],"different":[58],"convolutional":[59],"neural":[60],"networks":[61],"(CNNs):":[62],"segmentation":[64],"model,":[65,76,95],"based":[66,77],"on":[67,78],"modified":[69],"U-net":[70],"architecture":[71,81],"[1],":[72],"detection":[75],"the":[79,98],"RetinaNet":[80],"[2].":[82],"The":[83],"results":[84],"we":[85],"show":[87],"that":[88],"combination":[90],"outperforms":[91],"significantly":[92],"each":[93],"unitary":[94],"reducing":[96],"drastically":[97],"false":[99],"negative":[100],"rate.":[101]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
