{"id":"https://openalex.org/W2041808578","doi":"https://doi.org/10.1109/icif.2007.4408068","title":"Evaluation of ICA based fusion of hyperspectral images for color display","display_name":"Evaluation of ICA based fusion of hyperspectral images for color display","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2041808578","doi":"https://doi.org/10.1109/icif.2007.4408068","mag":"2041808578"},"language":"en","primary_location":{"id":"doi:10.1109/icif.2007.4408068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4408068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","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/A5101289796","display_name":"Yingxuan Zhu","orcid":"https://orcid.org/0009-0000-8697-1948"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingxuan Zhu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","Syracuse University, Syracuse#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Syracuse University, Syracuse#TAB#","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018292481","display_name":"Pramod K. Varshney","orcid":"https://orcid.org/0000-0003-4504-5088"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod K. Varshney","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","Syracuse University, Syracuse#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Syracuse University, Syracuse#TAB#","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353576","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-6418-3761"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","Syracuse University, Syracuse#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Syracuse University, Syracuse#TAB#","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":2.7864,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90329856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.9975000023841858,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9198980331420898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7844510078430176},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7411922216415405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048121094703674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6407927870750427},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5552034974098206},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5545861124992371},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5465249419212341},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5382051467895508},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5233187675476074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49409249424934387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25837442278862}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9198980331420898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7844510078430176},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7411922216415405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048121094703674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6407927870750427},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5552034974098206},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5545861124992371},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5465249419212341},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5382051467895508},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5233187675476074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49409249424934387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25837442278862},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icif.2007.4408068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4408068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491220419","https://openalex.org/W1527042480","https://openalex.org/W1977575535","https://openalex.org/W1978322172","https://openalex.org/W2046119925","https://openalex.org/W2048397240","https://openalex.org/W2100325580","https://openalex.org/W2100700221","https://openalex.org/W2110242024","https://openalex.org/W2117756363","https://openalex.org/W2123649031","https://openalex.org/W2133665775","https://openalex.org/W2139896607","https://openalex.org/W2144188273","https://openalex.org/W2145023731","https://openalex.org/W2159509001","https://openalex.org/W3023411394","https://openalex.org/W4211083646"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W4252230435","https://openalex.org/W2157319902","https://openalex.org/W1854933298","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2554790198"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"is":[2],"becoming":[3],"increasingly":[4],"important":[5],"in":[6],"a":[7,14,24,88],"variety":[8],"of":[9,17,48,66,91],"applications.":[10],"These":[11],"images":[12,51,54,95,105],"contain":[13],"large":[15,89],"number":[16,90],"contiguous":[18],"bands":[19,92],"to":[20,52,83,93,125],"provide":[21],"information":[22,80,86],"at":[23],"fine":[25],"spectral":[26],"resolution":[27],"and,":[28],"therefore,":[29],"cannot":[30],"be":[31],"displayed":[32],"directly":[33],"using":[34],"an":[35],"RGB":[36],"color":[37,56,98],"display.":[38,99],"There":[39],"has":[40],"been":[41,121],"some":[42],"recent":[43],"work":[44],"on":[45,72,101],"the":[46,64,85,103,127],"problem":[47],"fusing":[49],"hyperspectral":[50,134],"three-band":[53],"for":[55,97],"display":[57],"purposes.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"evaluate":[63,126],"performance":[65,129],"our":[67],"recently":[68],"proposed":[69,122],"approach":[70],"based":[71],"independent":[73],"component":[74],"analysis,":[75],"correlation":[76,119],"coefficient":[77],"and":[78,117,123],"mutual":[79],"(ICA-":[81],"CCMI)":[82],"fuse":[84],"from":[87],"three":[94,131],"suitable":[96],"Depending":[100],"whether":[102],"reference":[104],"are":[106],"available":[107],"or":[108],"not,":[109],"several":[110],"image":[111,135],"quality":[112],"metrics":[113],"such":[114],"as":[115],"entropy":[116],"edge":[118],"have":[120],"employed":[124],"fusion":[128],"via":[130],"widely":[132],"used":[133],"datasets.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}