{"id":"https://openalex.org/W2944590348","doi":"https://doi.org/10.1109/aipr.2018.8707415","title":"Deep Learning for Recognizing Mobile Targets in Satellite Imagery","display_name":"Deep Learning for Recognizing Mobile Targets in Satellite Imagery","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2944590348","doi":"https://doi.org/10.1109/aipr.2018.8707415","mag":"2944590348"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2018.8707415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2018.8707415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002558495","display_name":"Mark D. Pritt","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark Pritt","raw_affiliation_strings":["Lockheed Martin Space, Rockville, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Space, Rockville, Maryland","institution_ids":["https://openalex.org/I1287521167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002558495"],"corresponding_institution_ids":["https://openalex.org/I1287521167"],"apc_list":null,"apc_paid":null,"fwci":0.3803,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73523655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9937999844551086,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623169422149658},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7512964010238647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261746287345886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.619229793548584},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5819122791290283},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.551478922367096},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.43592941761016846},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42895978689193726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.353085458278656},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.200876384973526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18666225671768188},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10514238476753235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623169422149658},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7512964010238647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261746287345886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.619229793548584},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5819122791290283},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.551478922367096},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.43592941761016846},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42895978689193726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.353085458278656},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.200876384973526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18666225671768188},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10514238476753235},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2018.8707415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2018.8707415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332165","display_name":"National Geospatial-Intelligence Agency","ror":"https://ror.org/02k4pxv54"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2088049833","https://openalex.org/W2194775991","https://openalex.org/W2613718673","https://openalex.org/W2788930825","https://openalex.org/W2891201238","https://openalex.org/W2919115771","https://openalex.org/W2963785576","https://openalex.org/W4297670610","https://openalex.org/W6620707391","https://openalex.org/W6687483927","https://openalex.org/W6748130322"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045"],"abstract_inverted_index":{"There":[0],"is":[1,63],"an":[2],"increasing":[3],"demand":[4],"for":[5,53,60],"software":[6,30],"that":[7],"automatically":[8],"detects":[9],"and":[10,18,39,77],"classifies":[11],"mobile":[12,66],"targets":[13,67],"such":[14,25],"as":[15],"airplanes,":[16],"cars,":[17],"ships":[19],"in":[20],"satellite":[21],"imagery.":[22],"Applications":[23],"of":[24,47,68],"automated":[26],"target":[27],"recognition":[28],"(ATR)":[29],"include":[31],"economic":[32],"forecasting,":[33],"traffic":[34],"planning,":[35],"maritime":[36],"law":[37],"enforcement,":[38],"disaster":[40],"response.":[41],"This":[42],"paper":[43],"describes":[44],"the":[45,69],"extension":[46],"a":[48,56],"convolutional":[49],"neural":[50],"network":[51],"(CNN)":[52],"classification":[54,78],"to":[55],"sliding":[57],"window":[58],"algorithm":[59],"detection.":[61],"It":[62],"evaluated":[64],"on":[65,72],"xView":[70],"dataset,":[71],"which":[73],"it":[74],"achieves":[75],"detection":[76],"accuracies":[79],"higher":[80],"than":[81],"95%.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}