{"id":"https://openalex.org/W3165753013","doi":"https://doi.org/10.1145/3441250.3441258","title":"A Novel Infrared Small Target Detection Algorithm Based on Deep Learning","display_name":"A Novel Infrared Small Target Detection Algorithm Based on Deep Learning","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3165753013","doi":"https://doi.org/10.1145/3441250.3441258","mag":"3165753013"},"language":"en","primary_location":{"id":"doi:10.1145/3441250.3441258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","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/A5100696102","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-0748-3669"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Xu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079702840","display_name":"Yawen Sun","orcid":"https://orcid.org/0000-0002-0811-8105"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2800570007","display_name":"Renji Hospital","ror":"https://ror.org/03ypbx660","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800570007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Sun","raw_affiliation_strings":["Department of Radiology Ren Ji Hospital School of Medicine Shanghai Jiao Tong University., China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology Ren Ji Hospital School of Medicine Shanghai Jiao Tong University., China","institution_ids":["https://openalex.org/I2800570007","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079885035","display_name":"Lianghui Ding","orcid":"https://orcid.org/0000-0002-3231-3613"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianghui Ding","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University., China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University., China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101807552","display_name":"Feng Yang","orcid":"https://orcid.org/0000-0002-6350-5765"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University., China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University., China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100696102"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.0355,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83140983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":1.0,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7436968088150024},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7058218121528625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7039535045623779},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6773695945739746},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6175218820571899},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5571286678314209},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4932350516319275},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49033498764038086},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.476365327835083},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4365333914756775},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4123346507549286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33900463581085205},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1739107072353363},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13295409083366394},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09553036093711853},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07663053274154663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436968088150024},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7058218121528625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7039535045623779},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6773695945739746},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6175218820571899},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5571286678314209},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4932350516319275},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49033498764038086},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.476365327835083},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4365333914756775},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4123346507549286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33900463581085205},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1739107072353363},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13295409083366394},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09553036093711853},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07663053274154663},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3441250.3441258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1979470027","https://openalex.org/W2035159765","https://openalex.org/W2080197848","https://openalex.org/W2102605133","https://openalex.org/W2464890187","https://openalex.org/W2540854551","https://openalex.org/W2734434825","https://openalex.org/W2766821365","https://openalex.org/W2776575223","https://openalex.org/W2885719068","https://openalex.org/W2900572182","https://openalex.org/W3086405929"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4382050342"],"abstract_inverted_index":{"Infrared":[0],"imaging":[1],"has":[2],"been":[3],"an":[4],"efficient":[5],"anti-drone":[6],"approach":[7],"due":[8],"to":[9,93],"its":[10],"low-cost,":[11],"anti-interference":[12],"and":[13,42,46,86,118,135,141],"all-weather":[14],"working":[15],"characteristics.":[16],"However,":[17],"the":[18,37,73,83,88,99,125,131,145],"detection":[19,61,100,133],"of":[20,44,76,102],"Unmanned":[21],"Aerial":[22],"Vehicle":[23],"(UAV)":[24],"through":[25],"infrared":[26,34,58,103,116,146],"camera":[27],"is":[28],"still":[29],"a":[30,54,112],"challenging":[31],"issue":[32],"because":[33],"targets":[35],"in":[36,91],"field-of-view":[38],"are":[39],"usually":[40],"small":[41,59,104,147],"lack":[43],"shape":[45],"texture":[47],"features.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"novel":[55],"deep":[56],"learning-based":[57],"target":[60,148],"algorithm":[62,110,127],"called":[63],"Single":[64,77],"Shot":[65,78],"Detector":[66,79],"for":[67,98],"Small":[68],"Target":[69],"(SSD-ST)":[70],"by":[71],"redesigning":[72],"network":[74],"architecture":[75],"(SSD).":[80],"We":[81,106],"drop":[82],"low-resolution":[84],"layers":[85],"enhance":[87],"high-resolution":[89],"layer":[90],"SSD":[92],"make":[94],"it":[95],"more":[96],"suitable":[97],"task":[101],"targets.":[105],"have":[107],"evaluated":[108],"our":[109],"over":[111],"dataset":[113],"with":[114],"16177":[115],"images":[117],"30":[119],"trajectories.":[120],"The":[121],"results":[122],"show":[123],"that":[124],"proposed":[126],"can":[128],"effectively":[129],"reduce":[130],"false":[132],"rate":[134,143],"achieve":[136],"higher":[137],"than":[138],"90%":[139],"precision":[140],"recall":[142],"on":[144],"dataset.":[149]},"counts_by_year":[{"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"}
