{"id":"https://openalex.org/W2588161360","doi":"https://doi.org/10.1109/mfi.2016.7849555","title":"Hyperspectral fluorescence data fusion using quaternion and octonion phase","display_name":"Hyperspectral fluorescence data fusion using quaternion and octonion phase","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2588161360","doi":"https://doi.org/10.1109/mfi.2016.7849555","mag":"2588161360"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2016.7849555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2016.7849555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5032995111","display_name":"Sebastian Bauer","orcid":"https://orcid.org/0000-0003-4328-195X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Bauer","raw_affiliation_strings":["Institute of Industrial Information Technology (lIlT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Information Technology (lIlT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053966999","display_name":"Fernando Puente Le\u00f3n","orcid":"https://orcid.org/0000-0001-6781-1666"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fernando Puente Leon","raw_affiliation_strings":["Karlsruher Institut fur Technologie, Karlsruhe, Baden-W\u00c3\u00bcrttemberg, DE","Karlsruher Institut fur Technologie, Karlsruhe, Baden-W\u00fcrttemberg, DE"],"affiliations":[{"raw_affiliation_string":"Karlsruher Institut fur Technologie, Karlsruhe, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":[]},{"raw_affiliation_string":"Karlsruher Institut fur Technologie, Karlsruhe, Baden-W\u00fcrttemberg, DE","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032995111"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.6459,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77424356,"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":"615","last_page":"621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9287309646606445},{"id":"https://openalex.org/keywords/wavelength","display_name":"Wavelength","score":0.6236376762390137},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.5818751454353333},{"id":"https://openalex.org/keywords/fluorescence-spectroscopy","display_name":"Fluorescence spectroscopy","score":0.5048626065254211},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4964936375617981},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.4865683317184448},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.4485020041465759},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44622817635536194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39303848147392273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3796910047531128},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3599753975868225},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3375706672668457},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.30708542466163635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2914881706237793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22655746340751648},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08904904127120972}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9287309646606445},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.6236376762390137},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.5818751454353333},{"id":"https://openalex.org/C158711907","wikidata":"https://www.wikidata.org/wiki/Q1768467","display_name":"Fluorescence spectroscopy","level":3,"score":0.5048626065254211},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4964936375617981},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.4865683317184448},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.4485020041465759},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44622817635536194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39303848147392273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3796910047531128},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3599753975868225},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3375706672668457},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.30708542466163635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2914881706237793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22655746340751648},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08904904127120972},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2016.7849555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2016.7849555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1014650983","https://openalex.org/W1587984093","https://openalex.org/W2038000903","https://openalex.org/W2043665634","https://openalex.org/W2048976066","https://openalex.org/W2055069115","https://openalex.org/W2058558325","https://openalex.org/W2070503188","https://openalex.org/W2099129687","https://openalex.org/W2100921418","https://openalex.org/W2101711129","https://openalex.org/W2113331702","https://openalex.org/W2127170893","https://openalex.org/W2137124291","https://openalex.org/W2152233525","https://openalex.org/W2162698522","https://openalex.org/W2493474269","https://openalex.org/W2528213801","https://openalex.org/W2528497885","https://openalex.org/W3023114228","https://openalex.org/W4230595451","https://openalex.org/W4252625959","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865"],"abstract_inverted_index":{"While":[0,166],"common":[1],"hyperspectral":[2,11,26,160,172],"images":[3,13,174],"comprise":[4],"two":[5],"spatial":[6],"and":[7,61,102,120],"one":[8,176],"spectral":[9,130],"dimension,":[10],"fluorescence":[12,27,35,49,161,173],"can":[14],"have":[15],"the":[16,33,39,48,79,83,105,111,115,128,151,154,167,181,186],"excitation":[17,41,54],"wavelength":[18,55,177],"as":[19],"an":[20,190],"additional":[21],"fourth":[22,84,116],"dimension.":[23],"We":[24,148],"consider":[25],"spectra":[28,36,50,67,140,183],"of":[29,153,163,175,194],"minerals":[30],"for":[31,68,104,143],"which":[32],"emitted":[34],"vary":[37],"with":[38,45],"irradiated":[40],"wavelength.":[42],"In":[43,95],"comparison":[44],"reflectance":[46],"spectra,":[47],"at":[51],"a":[52,121,144,159],"fixed":[53],"exhibit":[56],"far":[57],"less":[58],"characteristic":[59,93],"details":[60],"are":[62,178],"rather":[63],"flat.":[64],"Using":[65],"these":[66],"object":[69,191],"classification":[70,74,168,192],"leads":[71],"to":[72,90,158,196],"low":[73],"rates.":[75],"For":[76],"this":[77,96],"reason,":[78],"data":[80],"contained":[81,113],"in":[82,114,127,137,189],"dimension":[85,117,131],"(excitation":[86],"wavelength)":[87],"is":[88,118,132],"fused":[89],"obtain":[91],"more":[92,138,145],"spectra.":[94],"contribution,":[97],"we":[98],"will":[99,149],"use":[100],"quaternions":[101],"octonions":[103],"fusion:":[106],"By":[107],"considering":[108],"their":[109],"phase,":[110],"information":[112],"compressed":[119],"three-dimensional":[122],"image":[123],"containing":[124],"\u201cpseudo":[125],"spectra\u201d":[126],"original":[129],"derived.":[133],"Doing":[134],"so":[135],"results":[136,188],"discriminative":[139],"that":[141],"allow":[142],"robust":[146],"classification.":[147],"demonstrate":[150],"benefit":[152],"proposed":[155],"method":[156],"applied":[157],"dataset":[162],"mineral":[164],"samples.":[165],"rates":[169],"using":[170,180],"only":[171],"low,":[179],"pseudo":[182],"derived":[184],"from":[185],"fusion":[187],"rate":[193],"85":[195],"90":[197],"%.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}