{"id":"https://openalex.org/W3129296496","doi":"https://doi.org/10.1109/igarss39084.2020.9323085","title":"GAN-Based SAR-to-Optical Image Translation with Region Information","display_name":"GAN-Based SAR-to-Optical Image Translation with Region Information","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129296496","doi":"https://doi.org/10.1109/igarss39084.2020.9323085","mag":"3129296496"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5079692482","display_name":"Kento Doi","orcid":"https://orcid.org/0000-0002-3681-5987"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kento Doi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103190327","display_name":"Ken Sakurada","orcid":"https://orcid.org/0000-0003-3386-1547"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken Sakurada","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031341888","display_name":"Masaki Onishi","orcid":"https://orcid.org/0000-0002-4580-4868"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Onishi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005014399","display_name":"Akira Iwasaki","orcid":"https://orcid.org/0000-0002-1603-8041"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Iwasaki","raw_affiliation_strings":["The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079692482"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":2.0517,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89285474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2069","last_page":"2072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9909999966621399,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9713000059127808,"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/discriminator","display_name":"Discriminator","score":0.8615820407867432},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7384982109069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156282067298889},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7019690871238708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6938217282295227},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6458518505096436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6227911710739136},{"id":"https://openalex.org/keywords/optical-image","display_name":"Optical image","score":0.5593739748001099},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5382257699966431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5204484462738037},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.49536335468292236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38641202449798584},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09614405035972595}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8615820407867432},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7384982109069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156282067298889},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7019690871238708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6938217282295227},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6458518505096436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6227911710739136},{"id":"https://openalex.org/C2986007928","wikidata":"https://www.wikidata.org/wiki/Q478798","display_name":"Optical image","level":3,"score":0.5593739748001099},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5382257699966431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5204484462738037},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.49536335468292236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38641202449798584},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09614405035972595},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2099471712","https://openalex.org/W2194775991","https://openalex.org/W2785678896","https://openalex.org/W2810454813","https://openalex.org/W2900500013","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963836885","https://openalex.org/W2963904420","https://openalex.org/W2964121744","https://openalex.org/W2971888276","https://openalex.org/W2972279533","https://openalex.org/W2973660294","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6748582592","https://openalex.org/W6767560549"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750","https://openalex.org/W4282977492"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,82],"propose":[4],"a":[5,84],"SAR-to-optical":[6,30],"image":[7,24,31,89],"translation":[8,90],"method":[9,120,124],"based":[10],"on":[11],"conditional":[12],"generative":[13],"adversarial":[14],"networks":[15],"(cGANs).":[16],"Though":[17],"cGANs":[18],"have":[19,62],"achieved":[20],"great":[21],"success":[22],"in":[23,29,48],"translation,":[25],"some":[26],"problems":[27,36],"remain":[28],"translation.":[32],"One":[33],"of":[34,45,54,117],"the":[35,38,43,52,66,88,93,97,104,115,122],"is":[37,69,101],"colorization":[39],"error":[40],"owing":[41],"to":[42,73,87,103],"lack":[44],"color":[46,64],"information":[47,86],"SAR":[49,60],"data.":[50],"Since":[51],"colors":[53],"optical":[55,77],"images":[56,61],"are":[57],"varied,":[58],"while":[59],"no":[63],"information,":[65],"generator":[67,105],"network":[68,100],"confused":[70],"and":[71,106],"fail":[72],"generate":[74],"correctly":[75],"colorized":[76],"images.":[78],"To":[79],"prevent":[80],"it,":[81],"introduce":[83],"region":[85],"network.":[91,108],"Specifically,":[92],"feature":[94],"vector":[95],"from":[96],"pre-trained":[98],"classification":[99],"fed":[102],"discriminator":[107],"Experimental":[109],"results":[110],"with":[111],"SEN1-2":[112],"dataset":[113],"show":[114],"advantage":[116],"our":[118],"proposed":[119],"over":[121],"baseline":[123],"that":[125],"does":[126],"not":[127],"use":[128],"any":[129],"additional":[130],"information.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
