{"id":"https://openalex.org/W4297238455","doi":"https://doi.org/10.3390/rs14194785","title":"Structure Tensor-Based Infrared Small Target Detection Method for a Double Linear Array Detector","display_name":"Structure Tensor-Based Infrared Small Target Detection Method for a Double Linear Array Detector","publication_year":2022,"publication_date":"2022-09-25","ids":{"openalex":"https://openalex.org/W4297238455","doi":"https://doi.org/10.3390/rs14194785"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194785","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4785/pdf?version=1664263491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/19/4785/pdf?version=1664263491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088501122","display_name":"Jinyan Gao","orcid":"https://orcid.org/0000-0003-0031-1661"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinyan Gao","raw_affiliation_strings":["Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103146487","display_name":"Luyuan Wang","orcid":"https://orcid.org/0000-0002-6445-7742"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyuan Wang","raw_affiliation_strings":["Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112285469","display_name":"Jiyang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyang Yu","raw_affiliation_strings":["Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087885728","display_name":"Zhongshi Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongshi Pan","raw_affiliation_strings":["Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088501122"],"corresponding_institution_ids":["https://openalex.org/I194716290"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6159,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78534643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"19","first_page":"4785","last_page":"4785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9902999997138977,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9837999939918518,"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/structure-tensor","display_name":"Structure tensor","score":0.7426618337631226},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6839540600776672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6788284182548523},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6670631766319275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6267169117927551},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5913534164428711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.563374400138855},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4680079519748688},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4640084505081177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4349161684513092},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4223252534866333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.373943030834198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18286672234535217},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11330994963645935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09473207592964172}],"concepts":[{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.7426618337631226},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6839540600776672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6788284182548523},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6670631766319275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6267169117927551},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5913534164428711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.563374400138855},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4680079519748688},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4640084505081177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4349161684513092},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4223252534866333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.373943030834198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18286672234535217},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11330994963645935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09473207592964172},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14194785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194785","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4785/pdf?version=1664263491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:076173e88988480faedfdda4b8733e4c","is_oa":true,"landing_page_url":"https://doaj.org/article/076173e88988480faedfdda4b8733e4c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 4785 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4785/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194785","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194785","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4785/pdf?version=1664263491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297238455.pdf","grobid_xml":"https://content.openalex.org/works/W4297238455.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W2524542481","https://openalex.org/W2776575223","https://openalex.org/W2803108972","https://openalex.org/W2900546872","https://openalex.org/W2921709033","https://openalex.org/W2942839421","https://openalex.org/W2947125416","https://openalex.org/W2950740535","https://openalex.org/W2997846423","https://openalex.org/W3021020015","https://openalex.org/W3024748887","https://openalex.org/W3034092487","https://openalex.org/W3036939030","https://openalex.org/W3041023620","https://openalex.org/W3047473256","https://openalex.org/W3086144474","https://openalex.org/W3087883562","https://openalex.org/W3088317060","https://openalex.org/W3092535672","https://openalex.org/W3097913527","https://openalex.org/W3103532839","https://openalex.org/W3110352253","https://openalex.org/W3112775388","https://openalex.org/W3117798894","https://openalex.org/W3118249006","https://openalex.org/W3118934234","https://openalex.org/W3120372452","https://openalex.org/W3124866053","https://openalex.org/W3131204991","https://openalex.org/W3131633592","https://openalex.org/W3143173331","https://openalex.org/W3143550294","https://openalex.org/W3145563919","https://openalex.org/W3154969524","https://openalex.org/W3164118028","https://openalex.org/W3182145819","https://openalex.org/W3183676354","https://openalex.org/W3216985839","https://openalex.org/W4206270817","https://openalex.org/W4210576512","https://openalex.org/W4226086915","https://openalex.org/W4229378912","https://openalex.org/W4284885978","https://openalex.org/W4285082225","https://openalex.org/W4285091567","https://openalex.org/W4285137940","https://openalex.org/W4285245084","https://openalex.org/W4285804308","https://openalex.org/W4286630479","https://openalex.org/W4293225390","https://openalex.org/W4312729759","https://openalex.org/W6784244691","https://openalex.org/W6790174033","https://openalex.org/W6791288499","https://openalex.org/W6792988948","https://openalex.org/W6796246504","https://openalex.org/W6797189342","https://openalex.org/W6798389553","https://openalex.org/W6806906893"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W2351401443","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2317958419","https://openalex.org/W2116961228","https://openalex.org/W3173283069"],"abstract_inverted_index":{"The":[0,14],"paper":[1],"focuses":[2],"on":[3],"the":[4,18,44,51,59,66,113],"mathematical":[5],"modeling":[6],"of":[7,17,37,90],"a":[8,85,127],"new":[9],"double":[10],"linear":[11],"array":[12],"detector.":[13],"special":[15],"feature":[16],"detector":[19],"is":[20,54,82,93],"that":[21,84,112],"image":[22,45],"pairs":[23],"can":[24,119],"be":[25,120],"generated":[26],"at":[27],"short":[28],"intervals":[29],"in":[30,41,50,65,105],"one":[31],"scan.":[32],"After":[33],"registration":[34],"and":[35,73,101,133],"removal":[36,117],"dynamic":[38],"cloud":[39,115],"edges":[40],"each":[42],"image,":[43],"differentiation-based":[46],"change":[47],"detection":[48,99,136],"method":[49,64],"temporal":[52],"domain":[53],"proposed":[55,114],"to":[56,95,122],"combine":[57],"with":[58,78,126],"structure":[60],"tensor":[61],"edge":[62,116],"suppression":[63],"spatial":[67],"domain.":[68],"Finally,":[69],"experiments":[70],"are":[71,76],"conducted,":[72],"our":[74],"results":[75,109],"compared":[77],"theoretic":[79],"analyses.":[80],"It":[81],"found":[83],"high":[86],"signal-to-clutter":[87],"ratio":[88],"(SCR)":[89],"camera":[91],"input":[92],"required":[94],"obtain":[96],"an":[97,134],"acceptable":[98,135],"rate":[100,104,132],"false":[102,130],"alarm":[103,131],"real":[106],"scenes.":[107],"Experimental":[108],"also":[110],"show":[111],"solution":[118],"used":[121],"successfully":[123],"detect":[124],"targets":[125],"very":[128],"low":[129],"rate.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}