{"id":"https://openalex.org/W2732895469","doi":"https://doi.org/10.1109/siu.2017.7960492","title":"Fusion based resolution enhancement in hyperspectral images","display_name":"Fusion based resolution enhancement in hyperspectral images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2732895469","doi":"https://doi.org/10.1109/siu.2017.7960492","mag":"2732895469"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/49296","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008084526","display_name":"Hasan Irmak","orcid":"https://orcid.org/0000-0003-1953-3950"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Hasan Irmak","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi, Aselsan A.\u015e., Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi, Aselsan A.\u015e., Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009437653","display_name":"G\u00f6zde Bozda\u011f\u0131 Akar","orcid":"https://orcid.org/0000-0002-4227-5606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gozde Bozdaggi Akar","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi, ODT\u00dc, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi, ODT\u00dc, Ankara, T\u00fcrkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012317612","display_name":"Seniha Esen Y\u00fcksel","orcid":"https://orcid.org/0000-0002-8868-1132"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Seniha Esen Yuksel","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008084526"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.2354,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59658737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"4"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9987999796867371,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.839553952217102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7049497961997986},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6378812789916992},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5825696587562561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5489205121994019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.536914050579071},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5329887270927429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4634966552257538},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45916256308555603},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.454026997089386},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43507251143455505},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4201980531215668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33852607011795044}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.839553952217102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7049497961997986},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6378812789916992},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5825696587562561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5489205121994019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536914050579071},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5329887270927429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4634966552257538},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45916256308555603},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.454026997089386},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43507251143455505},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4201980531215668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33852607011795044},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2017.7960492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/49296","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/49296","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/49296","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/49296","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1990231296","https://openalex.org/W2012946078","https://openalex.org/W2040325979","https://openalex.org/W2064076387","https://openalex.org/W2094430361","https://openalex.org/W2100109944","https://openalex.org/W2103559027","https://openalex.org/W2122143316","https://openalex.org/W2133665775","https://openalex.org/W2194818953","https://openalex.org/W2200474412","https://openalex.org/W2221899823","https://openalex.org/W2547609874","https://openalex.org/W2765761734","https://openalex.org/W3001848441","https://openalex.org/W4297931263","https://openalex.org/W6745193907"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2554736181"],"abstract_inverted_index":{"Increasing":[0],"the":[1,10,16,31,36,46,54,63,68,76,80,84,88,124,129,153,165,179,189],"low":[2,39],"spatial":[3,89],"resolution":[4,32,40,48,90],"of":[5,12,33,61,79,152],"hyperspectral":[6],"images":[7,65],"(HSIs)":[8],"improves":[9],"performance":[11],"applications":[13],"in":[14,67,164],"which":[15,120],"HSIs":[17],"are":[18,101,107,113],"used.":[19],"In":[20,35,57,96],"this":[21,58,97],"study,":[22],"a":[23,160,183,195],"fusion":[24,157,180,191],"based":[25,192],"method":[26,144,154,177],"is":[27,43,73,91,121,136,145,155],"proposed":[28,37,176],"to":[29,52,159],"increase":[30],"HSIs.":[34,149],"method,":[38,98],"(LR)":[41],"HSI":[42,81,135],"fused":[44],"with":[45,75,128,147,182,194],"high":[47],"(HR)":[49],"RGB":[50,71,131],"image":[51,72],"obtain":[53],"HR":[55,110,130,134,140],"HSI.":[56],"approach,":[59],"instead":[60],"using":[62,93],"spectral":[64],"as":[66],"conventional":[69],"methods,":[70],"used":[74],"abundance":[77,105,111,126,141,166],"maps":[78,106,112,127],"estimated":[82,102],"from":[83,123,138],"linear":[85],"unmixing":[86],"and":[87,103],"enhanced":[92],"these":[94,139],"maps.":[95,142],"firstly,":[99],"endmembers":[100],"LR":[104,125],"obtained.":[108],"Then,":[109],"obtained":[114,137],"by":[115],"minimizing":[116],"an":[117],"energy":[118],"function,":[119],"constructed":[122],"image.":[132],"Finally,":[133],"The":[143,175],"tested":[146],"real":[148],"Main":[150],"contribution":[151],"converting":[156],"problem":[158,163,181],"quadratic":[161],"optimization":[162],"map":[167],"domain":[168],"without":[169],"any":[170],"assumption":[171],"or":[172],"prior":[173],"knowledge.":[174],"solves":[178],"computational":[184],"time":[185],"much":[186],"lower":[187],"than":[188],"state-of-the-art":[190],"methods":[193],"competing":[196],"performance.":[197]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-07-14T00:00:00"}
