{"id":"https://openalex.org/W2894886653","doi":"https://doi.org/10.1109/lgrs.2018.2870880","title":"Inpainting of Remote Sensing SST Images With Deep Convolutional Generative Adversarial Network","display_name":"Inpainting of Remote Sensing SST Images With Deep Convolutional Generative Adversarial Network","publication_year":2018,"publication_date":"2018-10-03","ids":{"openalex":"https://openalex.org/W2894886653","doi":"https://doi.org/10.1109/lgrs.2018.2870880","mag":"2894886653"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2870880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2870880","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/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082723917","display_name":"Ruiying Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiying Yin","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015182080","display_name":"Xin Sun","orcid":"https://orcid.org/0000-0003-1870-9037"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769057","display_name":"Qiong Li","orcid":"https://orcid.org/0000-0002-5625-7396"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Li","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101847695","display_name":"Yuting Yang","orcid":"https://orcid.org/0000-0001-6859-6195"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066520552","display_name":"Xukun Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xukun Qin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapoils, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapoils, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029633264"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":5.8403,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.96361663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"2","first_page":"173","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/inpainting","display_name":"Inpainting","score":0.8422205448150635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363085746765137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6889778971672058},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6353468298912048},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.629047155380249},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5198795795440674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5014102458953857},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.491345077753067},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44823285937309265},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4209447503089905},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.41253894567489624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3643195927143097}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8422205448150635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363085746765137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6889778971672058},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6353468298912048},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.629047155380249},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5198795795440674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5014102458953857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.491345077753067},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44823285937309265},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4209447503089905},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.41253894567489624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3643195927143097},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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.2018.2870880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2870880","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":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2204860822","display_name":null,"funder_award_id":"41741007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4608838691","display_name":null,"funder_award_id":"41576011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G487492400","display_name":null,"funder_award_id":"GG201703140154","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W134498629","https://openalex.org/W1836465849","https://openalex.org/W1969698720","https://openalex.org/W1993120651","https://openalex.org/W2012875423","https://openalex.org/W2031832209","https://openalex.org/W2057016804","https://openalex.org/W2099471712","https://openalex.org/W2103681897","https://openalex.org/W2123031198","https://openalex.org/W2173520492","https://openalex.org/W2479644247","https://openalex.org/W2550326190","https://openalex.org/W2566832195","https://openalex.org/W2623550831","https://openalex.org/W2755060080","https://openalex.org/W2963420272","https://openalex.org/W2963917315","https://openalex.org/W3106359998","https://openalex.org/W4320013936","https://openalex.org/W6605556548","https://openalex.org/W6638667902","https://openalex.org/W6720963587"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W2587407424","https://openalex.org/W1523707610"],"abstract_inverted_index":{"Cloud":[0],"occlusion":[1,28,77],"is":[2,130],"a":[3,61,86,96,105],"common":[4],"problem":[5],"in":[6,119],"the":[7,31,35,41,47,69,79,91,112,116,120,134,139,146,152],"satellite":[8],"remote":[9],"sensing":[10],"(RS)":[11],"field":[12],"and":[13,20,54,155,161,167],"poses":[14],"great":[15],"challenges":[16],"for":[17,26,90,111],"image":[18,38,44,82,118,148],"processing":[19],"object":[21],"detection.":[22],"Most":[23],"existing":[24,48,177],"methods":[25],"cloud":[27,76],"recovery":[29],"extract":[30],"surrounding":[32],"information":[33],"from":[34,78,151],"single":[36],"corrupted":[37,117],"rather":[39],"than":[40],"historical":[42,81],"RS":[43,70,147],"records.":[45,83],"Moreover,":[46],"algorithms":[49],"can":[50],"only":[51],"handle":[52],"small":[53],"regular-shaped":[55],"obnubilation":[56],"regions.":[57],"This":[58,128],"letter":[59],"introduces":[60],"deep":[62],"convolutional":[63],"generative":[64,107,135],"adversarial":[65],"network":[66],"to":[67,99,137],"recover":[68],"sea":[71],"surface":[72],"temperature":[73],"images":[74],"with":[75,159],"big":[80],"We":[84,142],"propose":[85],"new":[87],"loss":[88,126],"function":[89],"inpainting":[92,125],"network,":[93],"which":[94],"adds":[95],"supervision":[97],"term":[98],"solve":[100],"our":[101,124,172],"specific":[102],"problem.":[103],"Given":[104],"trained":[106],"model,":[108],"we":[109],"search":[110],"closest":[113],"encoding":[114,129],"of":[115],"low-dimensional":[121],"space":[122],"using":[123],"function.":[127],"then":[131],"passed":[132],"through":[133],"model":[136],"infer":[138],"missing":[140],"content.":[141],"conduct":[143],"experiments":[144],"on":[145],"data":[149],"set":[150],"national":[153],"oceanic":[154],"atmospheric":[156],"administration.":[157],"Compared":[158],"traditional":[160],"machine":[162],"learning":[163],"methods,":[164],"both":[165],"qualitative":[166],"quantitative":[168],"results":[169],"show":[170],"that":[171],"method":[173],"has":[174],"advantages":[175],"over":[176],"methods.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
