{"id":"https://openalex.org/W2987989438","doi":"https://doi.org/10.1109/igarss.2019.8897887","title":"Analysis of Non-Stationary Radiometer Gain Via Ensemble Detection","display_name":"Analysis of Non-Stationary Radiometer Gain Via Ensemble Detection","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987989438","doi":"https://doi.org/10.1109/igarss.2019.8897887","mag":"2987989438","pmid":"https://pubmed.ncbi.nlm.nih.gov/32774992"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7412603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061239916","display_name":"Mustafa Aksoy","orcid":"https://orcid.org/0000-0001-5452-1862"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Aksoy","raw_affiliation_strings":["University at Albany, State University of New York","State University of New York, University at Albany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]},{"raw_affiliation_string":"State University of New York, University at Albany","institution_ids":["https://openalex.org/I392282","https://openalex.org/I113508548","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052989655","display_name":"P. Racette","orcid":null},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul E. Racette","raw_affiliation_strings":["NASA Goddard Space Flight Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Goddard Space Flight Center","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036605562","display_name":"John Bradburn","orcid":null},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John W. Bradburn","raw_affiliation_strings":["University at Albany, State University of New York","State University of New York, University at Albany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]},{"raw_affiliation_string":"State University of New York, University at Albany","institution_ids":["https://openalex.org/I392282","https://openalex.org/I113508548","https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0388,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77815603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"8893","last_page":"8896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9947999715805054,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiometer","display_name":"Radiometer","score":0.8930976390838623},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6261391043663025},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5652720332145691},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5637652277946472},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4909101128578186},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.42579641938209534},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.41036003828048706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3354894518852234},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.28779149055480957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27802321314811707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.195774644613266},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10880351066589355}],"concepts":[{"id":"https://openalex.org/C120189094","wikidata":"https://www.wikidata.org/wiki/Q850281","display_name":"Radiometer","level":2,"score":0.8930976390838623},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6261391043663025},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5652720332145691},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5637652277946472},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4909101128578186},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.42579641938209534},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.41036003828048706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3354894518852234},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.28779149055480957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27802321314811707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.195774644613266},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10880351066589355},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2019.8897887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmid:32774992","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32774992","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium proceedings. International Geoscience and Remote Sensing Symposium","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7412603","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7412603","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Int Geosci Remote Sens Symp Proc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7412603","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7412603","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Int Geosci Remote Sens Symp Proc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1568054587","https://openalex.org/W1637248278","https://openalex.org/W2088860967","https://openalex.org/W3036331112"],"related_works":["https://openalex.org/W2113351631","https://openalex.org/W1971795288","https://openalex.org/W2103831930","https://openalex.org/W1993916247","https://openalex.org/W2156680019","https://openalex.org/W1964887290","https://openalex.org/W2548846461","https://openalex.org/W2101715116","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Although":[0],"considered":[1],"as":[2,25],"stationary":[3,76,84],"and":[4,116,123],"Gaussian":[5,77,85,104],"in":[6],"general,":[7],"radiometer":[8,27,48,57,78,91,108],"gain":[9,49,79,92,109],"is":[10,23],"usually":[11],"a":[12,62],"fluctuating":[13],"signal":[14,28],"with":[15],"non-stationary":[16,21,90,107],"properties.":[17],"Analyses":[18],"of":[19,39,75,120],"such":[20],"features":[22],"challenging":[24],"the":[26,34,47,56,72,89,102,113,117,121,124],"cannot":[29],"be":[30,52],"observed":[31],"independently.":[32],"On":[33],"other":[35],"hand,":[36],"time":[37],"series":[38],"post-gain":[40],"voltages":[41],"constitute":[42],"an":[43,82],"ensemble":[44],"set":[45],"for":[46,106],"which":[50,68,87],"can":[51,69],"used":[53],"to":[54],"characterize":[55],"gain.":[58],"This":[59],"paper":[60],"presents":[61],"novel":[63],"technique":[64],"called":[65],"\"Ensemble":[66],"Detection\"":[67],"analytically":[70],"retrieve":[71],"standard":[73],"deviation":[74],"or":[80],"find":[81],"equivalent":[83,103],"process":[86,105],"represents":[88],"under":[93],"different":[94],"calibration":[95,114,125],"schemes.":[96],"It":[97],"has":[98],"been":[99],"found":[100],"that":[101],"heavily":[110],"depends":[111],"on":[112],"structure":[115],"observation":[118],"times":[119],"measurand":[122],"references.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}