{"id":"https://openalex.org/W2952513291","doi":"https://doi.org/10.1109/jstars.2019.2920327","title":"Infrared Small Target Detection Based on Derivative Dissimilarity Measure","display_name":"Infrared Small Target Detection Based on Derivative Dissimilarity Measure","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2952513291","doi":"https://doi.org/10.1109/jstars.2019.2920327","mag":"2952513291"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2920327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2920327","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5102015006","display_name":"Xiaoguang Cao","orcid":"https://orcid.org/0000-0001-9257-4041"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Cao","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9257-4041","affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050950607","display_name":"Chujun Rong","orcid":"https://orcid.org/0000-0003-4073-7966"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujun Rong","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4073-7966","affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043001105","display_name":"Xiangzhi Bai","orcid":"https://orcid.org/0000-0002-6115-8237"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzhi Bai","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6115-8237","affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":31.2837,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.99253515,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"8","first_page":"3101","last_page":"3116"},"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":0.9957000017166138,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.6394491195678711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6263514161109924},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6221585273742676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5912699699401855},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5815829634666443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.500558614730835},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.4888000190258026},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48426884412765503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45396456122398376},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.45174455642700195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41165193915367126},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3200327754020691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.266124963760376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13040393590927124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394491195678711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6263514161109924},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6221585273742676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5912699699401855},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5815829634666443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.500558614730835},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.4888000190258026},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48426884412765503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45396456122398376},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.45174455642700195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41165193915367126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3200327754020691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.266124963760376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13040393590927124},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2920327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2920327","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1002408969","display_name":null,"funder_award_id":"YWF-19-BJJ-43","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7953880188","display_name":null,"funder_award_id":"U1736217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W265519738","https://openalex.org/W868646314","https://openalex.org/W1978993121","https://openalex.org/W1992873714","https://openalex.org/W1995457995","https://openalex.org/W2003825418","https://openalex.org/W2006851788","https://openalex.org/W2010875673","https://openalex.org/W2013431690","https://openalex.org/W2016672713","https://openalex.org/W2037568823","https://openalex.org/W2041560658","https://openalex.org/W2041888557","https://openalex.org/W2049769803","https://openalex.org/W2051185466","https://openalex.org/W2052955282","https://openalex.org/W2058928435","https://openalex.org/W2064562647","https://openalex.org/W2067173181","https://openalex.org/W2068799780","https://openalex.org/W2085487061","https://openalex.org/W2085974120","https://openalex.org/W2086629990","https://openalex.org/W2095117269","https://openalex.org/W2105732809","https://openalex.org/W2113511941","https://openalex.org/W2117675177","https://openalex.org/W2156556620","https://openalex.org/W2158479002","https://openalex.org/W2166332954","https://openalex.org/W2291670705","https://openalex.org/W2341998679","https://openalex.org/W2344310038","https://openalex.org/W2407220925","https://openalex.org/W2493273699","https://openalex.org/W2520800533","https://openalex.org/W2540854551","https://openalex.org/W2621197300","https://openalex.org/W2774646044","https://openalex.org/W2782405382","https://openalex.org/W2790555938","https://openalex.org/W2902163209"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145","https://openalex.org/W2093320919"],"abstract_inverted_index":{"Robust":[0],"detection":[1,140,166],"of":[2,9,43,62,74,78,93,151],"a":[3,10,29,63,83,99,118,164],"small":[4,38,64,79,108,138],"target":[5,39,65,109,139],"and":[6,19,76,103,110,159,168],"effective":[7],"suppression":[8],"complex":[11,146],"background":[12,75,113,147],"are":[13,50],"important":[14],"issues":[15],"in":[16,26,114],"infrared":[17,37,48],"searching":[18],"tracking":[20],"systems.":[21],"To":[22],"address":[23],"these":[24],"issues,":[25],"this":[27],"paper,":[28],"derivative":[30,59],"dissimilarity":[31,85],"measure":[32,86],"(DDM)":[33],"is":[34,66,87,101,121],"proposed":[35,88,137],"for":[36],"detection.":[40],"First,":[41],"derivatives":[42],"several":[44],"directions":[45],"from":[46,68,126],"an":[47],"image":[49],"computed":[51],"based":[52,89],"on":[53,90,131],"the":[54,58,72,91,107,112,136],"facet":[55],"model.":[56],"Then,":[57],"feature":[60],"(DF)":[61],"extracted":[67],"each":[69],"direction.":[70],"Taking":[71],"continuity":[73],"discontinuity":[77],"targets":[80,161],"into":[81],"consideration,":[82],"novel":[84],"model":[92],"derived":[94],"kernel.":[95],"Combined":[96],"with":[97,163],"DFs,":[98],"DDM":[100],"constructed":[102],"utilized":[104],"to":[105,173],"enhance":[106],"suppress":[111,145],"different":[115],"scenes.":[116],"Finally,":[117],"result":[119],"map":[120],"obtained":[122],"by":[123],"fusing":[124],"sub-maps":[125],"all":[127],"directions.":[128],"Experimental":[129],"results":[130],"six":[132],"datasets":[133],"demonstrate":[134],"that":[135],"method":[141],"can":[142,155],"not":[143],"only":[144],"clutters":[148],"successfully":[149],"regardless":[150],"noise":[152],"interference,":[153],"but":[154],"also":[156],"locate":[157],"weak":[158],"dim":[160],"precisely":[162],"high":[165],"ratio":[167,171],"low":[169],"false-alarm":[170],"compared":[172],"some":[174],"other":[175],"methods.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
