{"id":"https://openalex.org/W2119376835","doi":"https://doi.org/10.1109/tit.1985.1056996","title":"Invariance in moving target detection","display_name":"Invariance in moving target detection","publication_year":1985,"publication_date":"1985-01-01","ids":{"openalex":"https://openalex.org/W2119376835","doi":"https://doi.org/10.1109/tit.1985.1056996","mag":"2119376835"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1985.1056996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1985.1056996","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Transactions on Information Theory","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/A5072944670","display_name":"Keith Miller","orcid":"https://orcid.org/0000-0002-5968-1985"},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. Miller","raw_affiliation_strings":["Riverside Research Institute, NY, USA"],"affiliations":[{"raw_affiliation_string":"Riverside Research Institute, NY, USA","institution_ids":["https://openalex.org/I4210132419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037857418","display_name":"R. S. Raghavan","orcid":"https://orcid.org/0000-0001-7355-6817"},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Raghavan","raw_affiliation_strings":["Riverside Research Institute, NY, USA"],"affiliations":[{"raw_affiliation_string":"Riverside Research Institute, NY, USA","institution_ids":["https://openalex.org/I4210132419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031124664","display_name":"M. Rochwarger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Rochwarger","raw_affiliation_strings":["Riverside Research Institute, NY, USA"],"affiliations":[{"raw_affiliation_string":"Riverside Research Institute, NY, USA","institution_ids":["https://openalex.org/I4210132419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072944670"],"corresponding_institution_ids":["https://openalex.org/I4210132419"],"apc_list":null,"apc_paid":null,"fwci":1.6077,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85472877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"1","first_page":"69","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9894999861717224,"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":0.9894999861717224,"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/detector","display_name":"Detector","score":0.6152375340461731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5849238038063049},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5680423974990845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519425868988037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5128612518310547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41757622361183167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37076276540756226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.356450617313385},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08019223809242249}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6152375340461731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5849238038063049},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5680423974990845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519425868988037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5128612518310547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41757622361183167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37076276540756226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.356450617313385},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08019223809242249},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1985.1056996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1985.1056996","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W107085514","https://openalex.org/W648866479","https://openalex.org/W1500551892","https://openalex.org/W2159498975","https://openalex.org/W2321821268","https://openalex.org/W4247891181","https://openalex.org/W4300544062"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2544423928","https://openalex.org/W2000775715","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2795393339"],"abstract_inverted_index":{"Some":[0],"schemes":[1,60],"for":[2],"detecting":[3],"moving":[4],"point":[5],"targets":[6],"against":[7],"structured":[8],"backgrounds":[9],"from":[10],"observations":[11],"on":[12,61],"the":[13,22,25,28,39],"output":[14],"of":[15,24,52],"an":[16],"imaging":[17],"system":[18],"are":[19,31],"investigated.":[20],"When":[21],"velocity":[23],"target":[26],"and":[27],"background":[29],"image":[30,48],"considered":[32],"as":[33],"known,":[34],"it":[35],"is":[36],"shown":[37],"that":[38],"uniformly":[40],"most":[41],"powerful":[42],"detector,":[43],"invariant":[44],"with":[45],"respect":[46],"to":[47],"intensity":[49],"variations,":[50],"consists":[51],"specific":[53],"spatial-temporal":[54],"differencing":[55],"schemes.":[56],"This":[57],"places":[58],"such":[59],"a":[62],"rigorous":[63],"foundation.":[64]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
