{"id":"https://openalex.org/W2780632745","doi":"https://doi.org/10.1109/lgrs.2017.2781229","title":"Moving Point Target Detection Based on Higher Order Statistics in Very Low SNR","display_name":"Moving Point Target Detection Based on Higher Order Statistics in Very Low SNR","publication_year":2017,"publication_date":"2017-12-27","ids":{"openalex":"https://openalex.org/W2780632745","doi":"https://doi.org/10.1109/lgrs.2017.2781229","mag":"2780632745"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2781229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2781229","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5006523828","display_name":"Wenlong Niu","orcid":"https://orcid.org/0000-0003-1643-1705"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Niu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1643-1705","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763404","display_name":"Wei Zheng","orcid":"https://orcid.org/0000-0002-6852-8966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zheng","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885804","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0001-7967-5606"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077077342","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0003-3350-5227"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039162923","display_name":"Bal\u00e1zs V\u00e1gv\u00f6lgyi","orcid":"https://orcid.org/0000-0001-9835-5165"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balazs Vagvolgyi","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410535","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-6209-8790"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":35.8804,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9933395,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"2","first_page":"217","last_page":"221"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9965000152587891,"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":0.9944000244140625,"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":0.6900101900100708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439966559410095},{"id":"https://openalex.org/keywords/bispectrum","display_name":"Bispectrum","score":0.6319818496704102},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5675455331802368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5388597249984741},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.514228105545044},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4915097653865814},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48821118474006653},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.4757930040359497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4748390316963196},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4743082523345947},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.418876588344574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38523370027542114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36259597539901733},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3416631519794464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1962813138961792},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.12497547268867493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900101900100708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439966559410095},{"id":"https://openalex.org/C114148568","wikidata":"https://www.wikidata.org/wiki/Q2410583","display_name":"Bispectrum","level":3,"score":0.6319818496704102},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5675455331802368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5388597249984741},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.514228105545044},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4915097653865814},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48821118474006653},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.4757930040359497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4748390316963196},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4743082523345947},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.418876588344574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38523370027542114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36259597539901733},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3416631519794464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1962813138961792},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.12497547268867493},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2781229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2781229","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6861932952","display_name":null,"funder_award_id":"XDA04060300","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1501930650","https://openalex.org/W1549809545","https://openalex.org/W1577094526","https://openalex.org/W1999797653","https://openalex.org/W2008375185","https://openalex.org/W2041560658","https://openalex.org/W2056998635","https://openalex.org/W2067341428","https://openalex.org/W2080802633","https://openalex.org/W2084938443","https://openalex.org/W2086633414","https://openalex.org/W2102130251","https://openalex.org/W2118115006","https://openalex.org/W2123879611","https://openalex.org/W2127560277","https://openalex.org/W2139983789","https://openalex.org/W2259070047","https://openalex.org/W2288886961","https://openalex.org/W2320467412","https://openalex.org/W2321722667","https://openalex.org/W2346388536","https://openalex.org/W2418517984","https://openalex.org/W2499656830","https://openalex.org/W2550246009","https://openalex.org/W2561510652","https://openalex.org/W2567963522","https://openalex.org/W2600025239","https://openalex.org/W4255446016"],"related_works":["https://openalex.org/W2363926348","https://openalex.org/W2410641724","https://openalex.org/W1874216986","https://openalex.org/W2055867771","https://openalex.org/W2765247639","https://openalex.org/W2070570267","https://openalex.org/W2147177200","https://openalex.org/W2792403658","https://openalex.org/W1580128294","https://openalex.org/W2392652506"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"an":[3],"approach":[4],"for":[5,34,42],"the":[6,36,45,48,53,57,89,95],"detection":[7,96,127],"of":[8,39,56,73,92,153],"moving":[9],"point":[10,125],"targets":[11,142],"on":[12,24,150],"high-frame-rate":[13],"image":[14,40,154],"sequences":[15],"with":[16],"low":[17,21,140],"spatial":[18,54],"resolution":[19],"and":[20,47,76,94,102,113,116],"SNR":[22,141],"based":[23,149],"higher":[25],"order":[26],"statistical":[27],"theory.":[28],"We":[29,82],"propose":[30],"a":[31,69,84,119],"novel":[32],"method":[33,64,107],"analyzing":[35],"time-domain":[37,70,151],"evolution":[38],"data":[41],"distinguishing":[43],"between":[44],"background":[46],"target":[49,58,126],"in":[50,79],"situations":[51],"when":[52],"signal":[55,72],"is":[59,65,104,108],"swamped":[60],"by":[61],"noise.":[62],"Our":[63,129],"formulated":[66],"to":[67,87,121,147],"detect":[68,138],"transient":[71],"unknown":[74],"scale":[75],"arrival":[77],"time":[78],"noisy":[80],"background.":[81],"proposed":[83],"bispectrum-based":[85],"model":[86],"characterize":[88],"temporal":[90],"behavior":[91],"pixels,":[93],"ability":[97],"under":[98],"different":[99],"frame":[100],"rates":[101],"SNRs":[103],"analyzed.":[105],"The":[106],"evaluated":[109],"using":[110],"both":[111],"simulated":[112],"real-world":[114],"data,":[115],"we":[117],"provide":[118],"comparison":[120],"other":[122],"widely":[123],"used":[124],"approaches.":[128],"experimental":[130],"results":[131],"demonstrate":[132],"that":[133,143],"our":[134],"algorithm":[135],"can":[136],"efficiently":[137],"extremely":[139],"are":[144],"virtually":[145],"invisible":[146],"humans":[148],"analysis":[152],"sequences.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}