{"id":"https://openalex.org/W4389934584","doi":"https://doi.org/10.1109/lgrs.2023.3344804","title":"Segmentation-Guided Context Learning Using EO Object Labels for Stable SAR-to-EO Translation","display_name":"Segmentation-Guided Context Learning Using EO Object Labels for Stable SAR-to-EO Translation","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389934584","doi":"https://doi.org/10.1109/lgrs.2023.3344804"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3344804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3344804","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5002247218","display_name":"Jaehyup Lee","orcid":"https://orcid.org/0000-0002-2137-2650"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyup Lee","raw_affiliation_strings":["School of EE, KAIST, Daejeon, Yooseong-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2137-2650","affiliations":[{"raw_affiliation_string":"School of EE, KAIST, Daejeon, Yooseong-gu, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663653","display_name":"Hyun-Ho Kim","orcid":"https://orcid.org/0000-0003-4292-2065"},"institutions":[{"id":"https://openalex.org/I2800747041","display_name":"Korea Aerospace Research Institute","ror":"https://ror.org/037pqnq23","country_code":"KR","type":"government","lineage":["https://openalex.org/I2800747041","https://openalex.org/I2801339556","https://openalex.org/I4387152098","https://openalex.org/I4405260336"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Ho Kim","raw_affiliation_strings":["KARI, Daejeon, Yooseong-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4292-2065","affiliations":[{"raw_affiliation_string":"KARI, Daejeon, Yooseong-gu, Republic of Korea","institution_ids":["https://openalex.org/I2800747041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029499024","display_name":"Doochun Seo","orcid":"https://orcid.org/0000-0001-7229-2338"},"institutions":[{"id":"https://openalex.org/I2800747041","display_name":"Korea Aerospace Research Institute","ror":"https://ror.org/037pqnq23","country_code":"KR","type":"government","lineage":["https://openalex.org/I2800747041","https://openalex.org/I2801339556","https://openalex.org/I4387152098","https://openalex.org/I4405260336"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doochun Seo","raw_affiliation_strings":["KARI, Daejeon, Yooseong-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7229-2338","affiliations":[{"raw_affiliation_string":"KARI, Daejeon, Yooseong-gu, Republic of Korea","institution_ids":["https://openalex.org/I2800747041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027012300","display_name":"Munchurl Kim","orcid":"https://orcid.org/0000-0003-0146-5419"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Munchurl Kim","raw_affiliation_strings":["School of EE, KAIST, Daejeon, Yooseong-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0146-5419","affiliations":[{"raw_affiliation_string":"School of EE, KAIST, Daejeon, Yooseong-gu, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43841614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.994700014591217,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.994700014591217,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.8001369833946228},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7107665538787842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7087604999542236},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6214415431022644},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6164750456809998},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6106709241867065},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5262607336044312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4961467683315277},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4888431429862976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42913520336151123},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4232217073440552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4031514525413513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2485080063343048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001369833946228},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7107665538787842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7087604999542236},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6214415431022644},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6164750456809998},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6106709241867065},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5262607336044312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4961467683315277},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4888431429862976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42913520336151123},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4232217073440552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4031514525413513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2485080063343048},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3344804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3344804","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4300000071525574,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322114","display_name":"Korea Aerospace Research Institute","ror":"https://ror.org/037pqnq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2810454813","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963904420","https://openalex.org/W2982083293","https://openalex.org/W3005406698","https://openalex.org/W3015653929","https://openalex.org/W3179041635","https://openalex.org/W3200963432","https://openalex.org/W4214815753","https://openalex.org/W4280561916","https://openalex.org/W4307263399","https://openalex.org/W4387011056","https://openalex.org/W6623043969","https://openalex.org/W6637373629","https://openalex.org/W6757817989","https://openalex.org/W6765779288","https://openalex.org/W6847255066"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Recently,":[0],"the":[1,28,40,76,84,94,97,103,120],"analysis":[2],"and":[3,18,105],"use":[4,69],"of":[5,30,42,99],"synthetic":[6],"aperture":[7],"radar":[8],"(SAR)":[9],"imagery":[10],"have":[11],"become":[12],"crucial":[13],"for":[14,65,96],"surveillance,":[15],"military":[16],"operations,":[17],"environmental":[19],"monitoring.":[20],"A":[21],"common":[22],"challenge":[23],"with":[24,79,123],"SAR":[25,43],"images":[26],"is":[27],"presence":[29],"speckle":[31],"noise,":[32],"which":[33,58],"can":[34,88],"hinder":[35],"their":[36,80],"interpretability.":[37],"To":[38],"enhance":[39],"clarity":[41],"images,":[44],"this":[45],"letter":[46],"introduces":[47],"a":[48,70],"novel":[49],"SAR-to-electro-optical":[50],"(EO)":[51],"image":[52,128],"translation":[53,95],"(SET)":[54],"network,":[55],"called":[56],"SGCL-SET,":[57],"first":[59],"incorporates":[60],"EO":[61],"object":[62],"label":[63,106],"information":[64],"stable":[66],"translation.":[67],"We":[68],"pretrained":[71],"segmentation":[72,77,104],"network":[73],"to":[74,91],"provide":[75],"regions":[78,98],"labels":[81],"into":[82],"learning":[83],"SET.":[85],"Our":[86],"SGCL-SET":[87,116],"be":[89],"trained":[90],"effectively":[92],"learn":[93],"confusing":[100],"contexts":[101],"using":[102],"information.":[107],"Through":[108],"comprehensive":[109],"experiments":[110],"on":[111],"our":[112,115],"KOMPSAT":[113],"dataset,":[114],"significantly":[117],"outperforms":[118],"all":[119],"previous":[121],"methods":[122],"large":[124],"margins":[125],"across":[126],"nine":[127],"quality":[129],"evaluation":[130],"metrics.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}