{"id":"https://openalex.org/W25197225","doi":"https://doi.org/10.2352/cic.2007.15.1.art00034","title":"Fast Spectral-Based Separation of Multispectral Images","display_name":"Fast Spectral-Based Separation of Multispectral Images","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W25197225","doi":"https://doi.org/10.2352/cic.2007.15.1.art00034","mag":"25197225"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2007.15.1.art00034","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2007.15.1.art00034","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-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/A5070239231","display_name":"Philipp Urban","orcid":"https://orcid.org/0000-0002-9565-3906"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Philipp Urban","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082286181","display_name":"Mitchell R. Rosen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitchell R. Rosen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074754137","display_name":"Roy S. Berns","orcid":"https://orcid.org/0000-0002-7680-350X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roy S. Berns","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070239231"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2431,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77542762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"178","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9762351512908936},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6908685564994812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814783811569214},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6112781763076782},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5584951043128967},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4909239411354065},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4834457337856293},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45240527391433716},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4487805962562561},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4267188608646393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4176870882511139},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30818742513656616},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09958714246749878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07685911655426025}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9762351512908936},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6908685564994812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814783811569214},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6112781763076782},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5584951043128967},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4909239411354065},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4834457337856293},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45240527391433716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4487805962562561},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4267188608646393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4176870882511139},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30818742513656616},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09958714246749878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07685911655426025},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2007.15.1.art00034","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2007.15.1.art00034","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1534129081","https://openalex.org/W2002529065","https://openalex.org/W2012921122","https://openalex.org/W2014507515","https://openalex.org/W2059903734","https://openalex.org/W2107176124","https://openalex.org/W2116562616","https://openalex.org/W2166674291","https://openalex.org/W2406322080","https://openalex.org/W2408362098","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W1752760603","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1517037119","https://openalex.org/W2138664739","https://openalex.org/W4389779246"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"an":[5],"algorithmic":[6],"framework":[7],"for":[8,36],"spectral":[9,24],"separation":[10,62],"of":[11,47,63],"multispectral":[12,66],"images.":[13],"The":[14],"proposed":[15],"iterative":[16],"method":[17],"inverts":[18],"the":[19,48,52,61],"widely":[20],"used":[21],"cellular":[22],"Yule-Nielsen":[23],"Neugebauer":[25],"printer":[26],"model":[27,31],"so":[28],"quickly":[29],"that":[30],"inversion":[32],"can":[33],"be":[34],"considered":[35],"pixel-by-pixel":[37],"application.":[38],"Simplification":[39],"and":[40,44],"precalculation":[41],"make":[42],"improvements":[43],"small":[45],"modifications":[46],"algorithm":[49],"significantly":[50],"reduce":[51],"computational":[53],"effort.":[54],"Using":[55],"today's":[56],"available":[57],"standard":[58],"hardware":[59],"allows":[60],"high":[64],"resolution":[65],"images":[67],"in":[68],"reasonable":[69],"time.":[70]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}