{"id":"https://openalex.org/W3047432579","doi":"https://doi.org/10.3390/rs12152479","title":"Linear and Non-Linear Models for Remotely-Sensed Hyperspectral Image Visualization","display_name":"Linear and Non-Linear Models for Remotely-Sensed Hyperspectral Image Visualization","publication_year":2020,"publication_date":"2020-08-02","ids":{"openalex":"https://openalex.org/W3047432579","doi":"https://doi.org/10.3390/rs12152479","mag":"3047432579"},"language":"en","primary_location":{"id":"doi:10.3390/rs12152479","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152479","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs12152479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049294127","display_name":"Radu\u2010Mihai Coliban","orcid":"https://orcid.org/0000-0002-8182-3230"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Radu-Mihai Coliban","raw_affiliation_strings":["Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037307163","display_name":"Maria Marinca\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Maria Marinca\u015f","raw_affiliation_strings":["Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045813099","display_name":"Cosmin Hatfaludi","orcid":null},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cosmin Hatfaludi","raw_affiliation_strings":["Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023410095","display_name":"Mihai Ivanovici","orcid":"https://orcid.org/0000-0002-0803-2918"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihai Ivanovici","raw_affiliation_strings":["Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania"],"raw_orcid":"https://orcid.org/0000-0002-0803-2918","affiliations":[{"raw_affiliation_string":"Electronics and Computers Department, Transilvania University of Bra\u015fov, 500036 Bra\u015fov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049294127"],"corresponding_institution_ids":["https://openalex.org/I3123573182"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.1345,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84011481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"15","first_page":"2479","last_page":"2479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9872999787330627,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.986299991607666,"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":0.8361024856567383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645044922828674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7268959283828735},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7218577265739441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5990234017372131},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5977599024772644},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4142621159553528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4071897566318512},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11450004577636719}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8361024856567383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645044922828674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7268959283828735},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7218577265739441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5990234017372131},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5977599024772644},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4142621159553528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4071897566318512},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11450004577636719}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12152479","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152479","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b641689ed2884c26bfabd152337e44ca","is_oa":true,"landing_page_url":"https://doaj.org/article/b641689ed2884c26bfabd152337e44ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 15, p 2479 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/15/2479/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12152479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 15; Pages: 2479","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12152479","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152479","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1497262258","https://openalex.org/W1648096614","https://openalex.org/W1985857153","https://openalex.org/W1989083384","https://openalex.org/W1994168328","https://openalex.org/W1995875735","https://openalex.org/W1999599811","https://openalex.org/W2007298029","https://openalex.org/W2010265430","https://openalex.org/W2032121576","https://openalex.org/W2039612688","https://openalex.org/W2044465660","https://openalex.org/W2048397240","https://openalex.org/W2056830321","https://openalex.org/W2072445211","https://openalex.org/W2089666804","https://openalex.org/W2091397530","https://openalex.org/W2091588795","https://openalex.org/W2095705004","https://openalex.org/W2100325580","https://openalex.org/W2108395757","https://openalex.org/W2132060017","https://openalex.org/W2133194870","https://openalex.org/W2133665775","https://openalex.org/W2140164635","https://openalex.org/W2142963076","https://openalex.org/W2143001040","https://openalex.org/W2149134618","https://openalex.org/W2158922575","https://openalex.org/W2168600513","https://openalex.org/W2176412452","https://openalex.org/W2208264322","https://openalex.org/W2227947639","https://openalex.org/W2505667990","https://openalex.org/W2511674909","https://openalex.org/W2746646557","https://openalex.org/W2754404103","https://openalex.org/W2765595784","https://openalex.org/W2790827426","https://openalex.org/W2791952546","https://openalex.org/W2793846146","https://openalex.org/W2885776085","https://openalex.org/W2898312572","https://openalex.org/W2901565433","https://openalex.org/W2952956606","https://openalex.org/W2960241714","https://openalex.org/W2962786930","https://openalex.org/W2963278212","https://openalex.org/W2963568027","https://openalex.org/W2970971581","https://openalex.org/W2979348177","https://openalex.org/W2989317497","https://openalex.org/W2990095910","https://openalex.org/W2990907491","https://openalex.org/W2995135701","https://openalex.org/W3005452635","https://openalex.org/W3045742556","https://openalex.org/W4232818095","https://openalex.org/W4301109526","https://openalex.org/W6629830854","https://openalex.org/W6636962537","https://openalex.org/W6674330103","https://openalex.org/W6888564317"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"The":[0,21],"visualization":[1,86,120,188,195],"of":[2,54,77,87,116,124,126,129,141,159,162,174,179,216],"hyperspectral":[3,88,118],"images":[4,89],"still":[5],"constitutes":[6],"an":[7,13,82,103,172],"open":[8],"question":[9],"and":[10,43,112,131,176,200,211],"may":[11],"have":[12],"important":[14],"impact":[15,83,111],"on":[16,38,84,102,194,213],"the":[17,27,52,63,75,85,110,113,117,122,127,139,145,149,157,160,163,167,180,198,214,217],"consequent":[18],"analysis":[19],"tasks.":[20],"existing":[22],"techniques":[23,42],"fall":[24],"mainly":[25],"in":[26,134,144,205],"following":[28],"categories:":[29],"band":[30],"selection,":[31],"PCA-based":[32],"approaches,":[33,35],"linear":[34,56,199],"approaches":[36],"based":[37,101],"digital":[39,69],"image":[40,64,119],"processing":[41],"machine/deep":[44],"learning":[45],"methods.":[46],"In":[47,94],"this":[48],"article,":[49],"we":[50,96,147,165,184],"propose":[51,97],"usage":[53],"a":[55,68,98,153],"model":[57,100],"for":[58,156],"color":[59,70,92,150,168,202],"formation,":[60],"to":[61,136],"emulate":[62],"acquisition":[65],"process":[66],"by":[67],"camera.":[71],"We":[72,107,190],"show":[73],"how":[74],"choice":[76],"spectral":[78],"sensitivity":[79],"curves":[80],"has":[81],"as":[90,152,171],"RGB":[91],"images.":[93],"addition,":[95],"non-linear":[99,201,219],"artificial":[104],"neural":[105],"network.":[106],"objectively":[108,137],"assess":[109],"intrinsic":[114],"quality":[115],"from":[121],"point":[123],"view":[125],"amount":[128,140],"information":[130,142],"complexity:":[132],"(i)":[133],"order":[135],"quantify":[138],"present":[143,191],"image,":[146],"use":[148,185],"entropy":[151],"metric;":[154],"(ii)":[155],"evaluation":[158],"complexity":[161],"scene":[164],"employ":[166],"fractal":[169],"dimension,":[170],"indication":[173],"detail":[175],"texture":[177],"characteristics":[178],"image.":[181],"For":[182],"comparison,":[183],"several":[186],"state-of-the-art":[187],"techniques.":[189],"experimental":[192],"results":[193],"using":[196],"both":[197],"formation":[203],"models,":[204],"comparison":[206],"with":[207],"four":[208],"other":[209],"methods":[210],"report":[212],"superiority":[215],"proposed":[218],"model.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}