{"id":"https://openalex.org/W2908721991","doi":"https://doi.org/10.1109/dicta.2018.8615875","title":"Strategies for Merging Hyperspectral Data of Different Spectral and Spatial Resoultion","display_name":"Strategies for Merging Hyperspectral Data of Different Spectral and Spatial Resoultion","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2908721991","doi":"https://doi.org/10.1109/dicta.2018.8615875","mag":"2908721991"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5023607008","display_name":"Raik Illmann","orcid":null},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Raik Illmann","raw_affiliation_strings":["Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042928376","display_name":"Maik Rosenberger","orcid":"https://orcid.org/0009-0002-4577-7369"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maik Rosenberger","raw_affiliation_strings":["Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003178241","display_name":"Gunther Notni","orcid":"https://orcid.org/0000-0001-7532-1560"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gunther Notni","raw_affiliation_strings":["Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Group for Quality Assurance and Industrial Image Processing, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023607008"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":0.4172,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70696745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.980926513671875},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.7913734912872314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490801811218262},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.7162560224533081},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.6899294257164001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49513211846351624},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48804226517677307},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4829389452934265},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.46103596687316895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4504309296607971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44219398498535156},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4367808699607849},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42646387219429016},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42341914772987366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38939279317855835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1418820321559906},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08837363123893738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07821688055992126}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.980926513671875},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.7913734912872314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490801811218262},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.7162560224533081},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.6899294257164001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49513211846351624},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48804226517677307},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4829389452934265},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.46103596687316895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4504309296607971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44219398498535156},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4367808699607849},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42646387219429016},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42341914772987366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38939279317855835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1418820321559906},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08837363123893738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07821688055992126},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324722","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1604021499","https://openalex.org/W2045017776","https://openalex.org/W2152254169","https://openalex.org/W2497197560","https://openalex.org/W2604459465","https://openalex.org/W2626158795","https://openalex.org/W2804121869","https://openalex.org/W4231627457"],"related_works":["https://openalex.org/W4386427838","https://openalex.org/W2889956472","https://openalex.org/W2911259277","https://openalex.org/W1982418987","https://openalex.org/W2908721991","https://openalex.org/W3178760882","https://openalex.org/W1556234160","https://openalex.org/W1539874145","https://openalex.org/W2039721451","https://openalex.org/W2053822900"],"abstract_inverted_index":{"Increasing":[0],"applications":[1],"for":[2,23,129],"hyperspectral":[3,30,90,94],"measurement":[4,13,21,41],"make":[5],"increasing":[6,59],"demands":[7],"on":[8],"the":[9,40,98,146,149],"handling":[10],"of":[11,29,37,63,100,113,151],"big":[12],"data.":[14],"Push":[15],"broom":[16],"imaging":[17,83,95],"is":[18,49,67,97,116,156],"a":[19,35,56,71,103,134,152],"promising":[20],"technique":[22,48],"many":[24],"applications.":[25],"The":[26,111],"combined":[27],"registration":[28],"and":[31,61,124,148],"spatial":[32],"data":[33,79,91,106],"reveal":[34],"lot":[36],"information":[38],"about":[39],"object.":[42],"An":[43],"exemplary":[44],"well-known":[45],"further":[46],"processing":[47],"to":[50,69,102,117],"extract":[51],"feature":[52],"vectors":[53],"from":[54,92],"such":[55,131],"dataset.":[57,75],"For":[58],"quality":[60],"quantity":[62],"possible":[64],"information,":[65],"it":[66],"advantageously":[68],"have":[70],"spectral":[72,78,109],"wide":[73,104],"range":[74,105],"Nevertheless,":[76],"different":[77,82,93,127],"mainly":[80],"needs":[81],"systems.":[84],"A":[85],"major":[86],"problem":[87],"in":[88,145],"using":[89],"systems":[96],"combination":[99],"those":[101],"set,":[107],"called":[108],"cube.":[110],"aim":[112],"this":[114],"work":[115,141],"show":[118],"which":[119],"methods":[120],"are":[121],"principal":[122],"conceivable":[123],"usable":[125],"under":[126],"circumstances":[128],"merging":[130],"datasets":[132],"with":[133],"profound":[135],"analytical":[136],"view.":[137],"In":[138],"addition,":[139],"some":[140],"that":[142],"was":[143],"done":[144],"theory":[147],"design":[150],"calibration":[153],"model":[154],"prototype":[155],"included.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
