{"id":"https://openalex.org/W3088159553","doi":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-041","title":"Object Detection Using an Ideal Observer Model","display_name":"Object Detection Using an Ideal Observer Model","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088159553","doi":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-041","mag":"3088159553"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.16.avm-041","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-041","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5021341170","display_name":"Orit Skorka","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Orit Skorka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047584546","display_name":"Paul J. Kane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul J. Kane","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021341170"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.05549584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"32","issue":"16","first_page":"41","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9990000128746033,"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":0.9990000128746033,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9955999851226807,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9776999950408936,"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/observer","display_name":"Observer (physics)","score":0.7867887616157532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115268111228943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6618900299072266},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6209249496459961},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.573367714881897},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.478196382522583},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44842982292175293},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4151104688644409},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.410778671503067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3904987573623657},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.34500354528427124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30242571234703064},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07077905535697937}],"concepts":[{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.7867887616157532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115268111228943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6618900299072266},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6209249496459961},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.573367714881897},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.478196382522583},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44842982292175293},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4151104688644409},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.410778671503067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3904987573623657},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.34500354528427124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30242571234703064},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07077905535697937},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.16.avm-041","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-041","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2590472383","https://openalex.org/W2383873009","https://openalex.org/W2393580911","https://openalex.org/W2212184297","https://openalex.org/W3156456913","https://openalex.org/W2053185644","https://openalex.org/W2166955423","https://openalex.org/W2086499568","https://openalex.org/W4243646344","https://openalex.org/W2386237849"],"abstract_inverted_index":{"Many":[0],"of":[1,15,55,61,75,104],"the":[2,16,35,43,79,82,89,98],"metrics":[3],"developed":[4],"for":[5,19,34,52],"informational":[6],"imaging":[7],"are":[8,26],"useful":[9],"in":[10,59],"automotive":[11],"imaging,":[12],"since":[13],"many":[14],"tasks":[17],"&#x2013;":[18,25],"example,":[20],"object":[21],"detection":[22,54,105],"and":[23,40,93],"identification":[24],"similar.":[27],"This":[28],"work":[29,80],"discusses":[30],"sensor":[31],"characterization":[32],"parameters":[33],"Ideal":[36,90],"Observer":[37,91],"SNR":[38],"model,":[39],"elaborates":[41],"on":[42,101],"noise":[44],"power":[45],"spectrum.":[46],"It":[47],"presents":[48],"cross-correlation":[49],"analysis":[50],"results":[51],"matched-filter":[53],"a":[56,73],"tribar":[57],"pattern":[58],"sets":[60],"resolution":[62],"target":[63],"images":[64],"that":[65],"were":[66],"captured":[67],"with":[68],"three":[69],"image":[70],"sensors":[71],"over":[72],"range":[74],"illumination":[76],"levels.":[77],"Lastly,":[78],"compares":[81],"crosscorrelation":[83],"data":[84],"to":[85],"predictions":[86],"made":[87],"by":[88],"Model":[92],"demonstrates":[94],"good":[95],"agreement":[96],"between":[97],"two":[99],"methods":[100],"relative":[102],"evaluation":[103],"capabilities.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
