{"id":"https://openalex.org/W3096462693","doi":"https://doi.org/10.1109/tgrs.2020.3032732","title":"Green Band Generation for Advanced Baseline Imager Sensor Using Pix2Pix With Advanced Baseline Imager and Advanced Himawari Imager Observations","display_name":"Green Band Generation for Advanced Baseline Imager Sensor Using Pix2Pix With Advanced Baseline Imager and Advanced Himawari Imager Observations","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3096462693","doi":"https://doi.org/10.1109/tgrs.2020.3032732","mag":"3096462693"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3032732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3032732","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","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/A5051537752","display_name":"Jeong-Eun Park","orcid":"https://orcid.org/0000-0002-2992-2100"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Eun Park","raw_affiliation_strings":["Energy and Geoinfomatics, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy and Geoinfomatics, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101919164","display_name":"Goo Kim","orcid":"https://orcid.org/0000-0002-7275-0068"},"institutions":[{"id":"https://openalex.org/I64946176","display_name":"National Institute of Environmental Research","ror":"https://ror.org/02xhmzq41","country_code":"KR","type":"government","lineage":["https://openalex.org/I64946176"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Goo Kim","raw_affiliation_strings":["National Institute of Environmental Research, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7275-0068","affiliations":[{"raw_affiliation_string":"National Institute of Environmental Research, Incheon, South Korea","institution_ids":["https://openalex.org/I64946176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064465804","display_name":"Sungwook Hong","orcid":"https://orcid.org/0000-0001-5518-9478"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungwook Hong","raw_affiliation_strings":["DeepThoTh Company Ltd., Seoul, South Korea","Energy and Geoinfomatics, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5518-9478","affiliations":[{"raw_affiliation_string":"DeepThoTh Company Ltd., Seoul, South Korea","institution_ids":[]},{"raw_affiliation_string":"Energy and Geoinfomatics, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6084,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8294191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"59","issue":"8","first_page":"6415","last_page":"6423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9898999929428101,"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/radiance","display_name":"Radiance","score":0.7523206472396851},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6217712759971619},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5345280170440674},{"id":"https://openalex.org/keywords/geostationary-operational-environmental-satellite","display_name":"Geostationary Operational Environmental Satellite","score":0.4663495421409607},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4085041880607605},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39054280519485474},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.30679064989089966},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2698829770088196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1988832652568817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09775921702384949},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.09004643559455872}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7523206472396851},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6217712759971619},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5345280170440674},{"id":"https://openalex.org/C104110773","wikidata":"https://www.wikidata.org/wiki/Q976688","display_name":"Geostationary Operational Environmental Satellite","level":3,"score":0.4663495421409607},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4085041880607605},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39054280519485474},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.30679064989089966},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2698829770088196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1988832652568817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09775921702384949},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.09004643559455872}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3032732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3032732","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1588764730","display_name":null,"funder_award_id":"KMI2020-00510","funder_id":"https://openalex.org/F4320322036","funder_display_name":"Korea Meteorological Administration"}],"funders":[{"id":"https://openalex.org/F4320322036","display_name":"Korea Meteorological Administration","ror":"https://ror.org/04nrmrg07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W765351440","https://openalex.org/W1901129140","https://openalex.org/W1978617972","https://openalex.org/W2000613913","https://openalex.org/W2008556872","https://openalex.org/W2021365919","https://openalex.org/W2024810474","https://openalex.org/W2038023217","https://openalex.org/W2045102154","https://openalex.org/W2051973931","https://openalex.org/W2062272434","https://openalex.org/W2072633546","https://openalex.org/W2077509829","https://openalex.org/W2083585005","https://openalex.org/W2092236130","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2154650882","https://openalex.org/W2173520492","https://openalex.org/W2174202604","https://openalex.org/W2289048602","https://openalex.org/W2339754110","https://openalex.org/W2345254164","https://openalex.org/W2476090613","https://openalex.org/W2494302106","https://openalex.org/W2746457594","https://openalex.org/W2777654136","https://openalex.org/W2788512523","https://openalex.org/W2805159576","https://openalex.org/W2888766929","https://openalex.org/W2892366243","https://openalex.org/W2905857158","https://openalex.org/W2954966886","https://openalex.org/W2963073614","https://openalex.org/W2963684088","https://openalex.org/W2972430292","https://openalex.org/W2990743389","https://openalex.org/W3046942908","https://openalex.org/W4248268077","https://openalex.org/W4285719527","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6765135288"],"related_works":["https://openalex.org/W2157702764","https://openalex.org/W2508448752","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658","https://openalex.org/W4205376403","https://openalex.org/W2043287399","https://openalex.org/W2020667207","https://openalex.org/W2172628294","https://openalex.org/W2175619143"],"abstract_inverted_index":{"Green":[0],"bands":[1,89,133,169],"in":[2,10,66,83,149,171,182,201,237],"satellite":[3],"remote":[4],"sensing":[5],"play":[6],"an":[7,42],"important":[8],"role":[9],"monitoring":[11],"water":[12],"and":[13,58,87,107,128,154,165,178,195,234],"vegetation":[14],"information.":[15],"Due":[16],"to":[17,103,109,212,226],"the":[18,24,49,67,71,79,84,91,117,126,129,163,192,202,206,213],"lack":[19],"of":[20,70,90,205,231,240],"observed":[21,65],"green":[22,44,88,114,132,168,193,209,216,229,244],"band,":[23,194],"Geostationary":[25],"Operational":[26],"Environmental":[27],"Satellite":[28],"(GOES-16)":[29],"Advanced":[30,92],"Baseline":[31],"Imager":[32,94],"(ABI)":[33],"sensor":[34,233],"uses":[35],"a":[36,111,172,238],"synthetic":[37,166,214],"one.":[38],"This":[39],"study":[40],"presents":[41],"ABI":[43,113,118,167,208,215,232],"band":[45,115,120,199,210,230],"generation":[46],"method":[47],"using":[48,116],"Pix2Pix":[50],"based":[51],"on":[52],"conditional":[53],"generative":[54],"adversarial":[55],"networks":[56],"(CGANs)":[57],"convolutional":[59],"neural":[60],"network":[61],"techniques":[62],"with":[63],"data":[64,81],"visible":[68],"range":[69],"GOES-16/ABI":[72],"sensor.":[73],"Our":[74],"model":[75,221],"was":[76],"constructed":[77],"from":[78,99],"radiance":[80,121],"sets":[82],"red,":[85],"blue,":[86],"Himawari":[93],"(AHI)":[95],"onboard":[96],"Himawari-8/9":[97],"satellites":[98],"August":[100],"27,":[101],"2018":[102],"May":[104],"1,":[105],"2019,":[106],"applied":[108,236],"generate":[110,227],"GOES-16":[112],"blue":[119,198],"data.":[122],"A":[123],"comparison":[124,161,190],"between":[125,162,191],"AHI":[127,131],"Pix2Pix-generated":[130,164,207],"displayed":[134],"high":[135],"accuracy,":[136],"evaluated":[137],"through":[138],"bias":[139],"=":[140,147,158,176,180,186],"0.120,":[141],"root":[142],"mean":[143],"square":[144],"error":[145],"(RMSE)":[146],"0.983":[148],"digital":[150],"number":[151],"(DN)":[152],"units,":[153,184],"correlation":[155],"coefficient":[156],"(CC)":[157],"0.999.":[159],"Furthermore,":[160],"resulted":[170,200],"good":[173],"agreement":[174],"(bias":[175],"1.029":[177],"RMSE":[179],"2.892":[181],"DN":[183],"CC":[185],"0.993).":[187],"The":[188],"statistical":[189],"red":[196],"or":[197],"exceptional":[203],"performance":[204],"compared":[211],"band.":[217,245],"Consequently,":[218],"our":[219],"Pix2Pix-based":[220],"can":[222],"be":[223,235],"effectively":[224],"used":[225],"nonexistent":[228],"variety":[239],"scientific":[241],"applications":[242],"requiring":[243]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}