{"id":"https://openalex.org/W4387803763","doi":"https://doi.org/10.1109/igarss52108.2023.10282468","title":"Linear Mixing Model Performance with Nonlinear Effects in Hyperspectral Sub-Pixel Target Detection","display_name":"Linear Mixing Model Performance with Nonlinear Effects in Hyperspectral Sub-Pixel Target Detection","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803763","doi":"https://doi.org/10.1109/igarss52108.2023.10282468"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032998272","display_name":"Colin J. Maloney","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin J. Maloney","raw_affiliation_strings":["Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040385195","display_name":"John P. Kerekes","orcid":"https://orcid.org/0000-0002-0754-8170"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John P. Kerekes","raw_affiliation_strings":["Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064079309","display_name":"Emmett J. Ientilucci","orcid":"https://orcid.org/0000-0002-3643-8245"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmett J. Ientilucci","raw_affiliation_strings":["Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055663237","display_name":"Chase Ca\u00f1as","orcid":"https://orcid.org/0009-0003-1716-9275"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chase Ca\u00f1as","raw_affiliation_strings":["Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology Chester F. Carlson Center for Imaging Science,Rochester,NY,14623","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.4226,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5842606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2262","last_page":"2265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9933000206947327,"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":0.9911999702453613,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9522193074226379},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.9189091920852661},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7793871164321899},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7446404099464417},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.693281352519989},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5648407340049744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5200169086456299},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42370694875717163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38576483726501465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22955679893493652},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12438789010047913},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11432439088821411}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9522193074226379},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.9189091920852661},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7793871164321899},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7446404099464417},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.693281352519989},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5648407340049744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5200169086456299},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42370694875717163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38576483726501465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22955679893493652},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12438789010047913},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11432439088821411},{"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/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/igarss52108.2023.10282468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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":7,"referenced_works":["https://openalex.org/W2010205838","https://openalex.org/W2106689208","https://openalex.org/W2767275311","https://openalex.org/W4285505236","https://openalex.org/W4298122944","https://openalex.org/W4300420063","https://openalex.org/W6652901725"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2072166414","https://openalex.org/W2331836163","https://openalex.org/W2024462231","https://openalex.org/W1994657804","https://openalex.org/W3209970181","https://openalex.org/W2412485884"],"abstract_inverted_index":{"In":[0],"the":[1,8,51,60,63,73,82,114,128],"realm":[2],"of":[3,44,62,75,84,106],"hyperspectral":[4],"sub-pixel":[5,86],"target":[6,87,110,120,123],"detection,":[7],"Linear":[9],"Mixing":[10],"Model":[11],"(LMM)":[12],"is":[13],"an":[14],"established":[15],"basis":[16],"for":[17],"analysis":[18],"and":[19,42,93,96,113,122],"modelling.":[20],"However,":[21],"its":[22],"accuracy":[23],"depends":[24],"on":[25],"several":[26,85],"key":[27],"assumptions,":[28],"most":[29],"notably":[30],"that":[31],"there":[32],"exists":[33],"no":[34],"nonlinear":[35,66,107,132],"mixing":[36],"within":[37],"a":[38],"scene.":[39],"The":[40],"Forecasting":[41],"Analysis":[43],"Spectroradiometric":[45],"System":[46],"Performance":[47],"(FASSP)":[48],"model":[49,116],"utilizes":[50],"LMM":[52,64],"to":[53,118,127],"perform":[54],"system":[55],"requirement":[56],"analyses.":[57],"To":[58],"quantify":[59],"limitations":[61],"when":[65,131],"effects":[67,108,133],"are":[68,134],"present,":[69],"this":[70],"paper":[71],"reviews":[72],"results":[74,130],"September":[76],"2022":[77],"data":[78],"collect":[79],"in":[80],"which":[81],"spectra":[83],"panels":[88,95],"were":[89],"altered":[90],"by":[91],"shadowing":[92],"reflectance":[94],"compares":[97],"it":[98],"with":[99],"those":[100],"from":[101],"FASSP.":[102],"Overall,":[103],"both":[104],"forms":[105],"reduce":[109],"detection":[111,124],"performance":[112,125],"FASSP":[115],"tends":[117],"overestimate":[119],"radiance":[121],"relative":[126],"empirical":[129],"present.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
