{"id":"https://openalex.org/W3013921364","doi":"https://doi.org/10.1109/icst46873.2019.9047669","title":"Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods","display_name":"Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3013921364","doi":"https://doi.org/10.1109/icst46873.2019.9047669","mag":"3013921364"},"language":"en","primary_location":{"id":"doi:10.1109/icst46873.2019.9047669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst46873.2019.9047669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-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/A5015650283","display_name":"Sebastian Schramm","orcid":"https://orcid.org/0000-0002-9085-5269"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Schramm","raw_affiliation_strings":["Department of Measurement of Control, University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Measurement of Control, University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017065326","display_name":"Robert Schmoll","orcid":"https://orcid.org/0000-0002-8785-8178"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Schmoll","raw_affiliation_strings":["Department of Measurement of Control, University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Measurement of Control, University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038323523","display_name":"Andreas Kroll","orcid":"https://orcid.org/0000-0002-8052-9494"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Kroll","raw_affiliation_strings":["Department of Measurement of Control, University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Measurement of Control, University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015650283"],"corresponding_institution_ids":["https://openalex.org/I106157433"],"apc_list":null,"apc_paid":null,"fwci":0.3967,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76861944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.9994999766349792,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9994999766349792,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9994000196456909,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/compensation","display_name":"Compensation (psychology)","score":0.6828742623329163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6514419317245483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101742386817932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.604114294052124},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5564059019088745},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.45052793622016907},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32873398065567017},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17679134011268616},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06482803821563721}],"concepts":[{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6828742623329163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6514419317245483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101742386817932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.604114294052124},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5564059019088745},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.45052793622016907},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32873398065567017},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17679134011268616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06482803821563721},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icst46873.2019.9047669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst46873.2019.9047669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1969655615","https://openalex.org/W1999341335","https://openalex.org/W2018134254","https://openalex.org/W2018875552","https://openalex.org/W2040739536","https://openalex.org/W2057916816","https://openalex.org/W2085085460","https://openalex.org/W2486206335","https://openalex.org/W3005347330","https://openalex.org/W4252249896","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2374614594","https://openalex.org/W2365082216","https://openalex.org/W2388018705","https://openalex.org/W2362703586","https://openalex.org/W2389641749","https://openalex.org/W2364486795"],"abstract_inverted_index":{"While":[0],"many":[1],"infrared":[2,102,134],"camera-specific":[3],"properties":[4],"are":[5,88],"considered":[6],"for":[7,23,99,115],"practical":[8],"application,":[9],"the":[10,13,17,33,46,55,76,93,96,108,112,122,141],"influence":[11,31],"of":[12,35,62,95,124],"radiation":[14,56],"distribution":[15,57],"surrounding":[16],"measuring":[18,40],"spot":[19],"is":[20,84],"often":[21],"neglected":[22],"thermal":[24,36,50,126],"cameras.":[25,103],"However,":[26],"this":[27,79],"has":[28],"a":[29,59,81,125,137],"significant":[30],"on":[32],"uncertainty":[34],"imaging":[37],"cameras":[38,51,135],"when":[39],"absolute":[41],"temperatures,":[42],"referred":[43],"to":[44,74,92,133],"as":[45,136],"size-of-source":[47,97],"effect.":[48],"Since":[49],"acquire":[52],"information":[53],"about":[54],"around":[58],"potential":[60],"point":[61],"interest":[63],"through":[64],"their":[65],"spatially":[66],"resolved":[67],"measurement,":[68],"neighborhood":[69],"pixels":[70],"could":[71,130],"be":[72,131],"used":[73],"reduce":[75,111],"uncertainty.":[77],"In":[78],"paper,":[80],"convolution":[82],"filter":[83,109],"presented":[85],"whose":[86],"parameters":[87],"optimized":[89],"with":[90],"regard":[91],"compensation":[94],"effect":[98,113],"two":[100],"different":[101,116],"The":[104,128],"results":[105],"show":[106],"that":[107],"can":[110],"significantly":[114],"object":[117],"geometries":[118],"or":[119],"even":[120],"at":[121],"border":[123],"image.":[127],"algorithm":[129],"applied":[132],"post-processing":[138],"step":[139],"in":[140],"future.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}