{"id":"https://openalex.org/W4396753410","doi":"https://doi.org/10.1109/tgrs.2024.3398188","title":"Various Degradation: Dual Cross-Refinement Transformer for Blind Sonar Image Super-Resolution","display_name":"Various Degradation: Dual Cross-Refinement Transformer for Blind Sonar Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396753410","doi":"https://doi.org/10.1109/tgrs.2024.3398188"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3398188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3398188","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/A5063060448","display_name":"J. Srinivasa Rao","orcid":"https://orcid.org/0009-0007-7692-7194"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahao Rao","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111282975","display_name":"Yini Peng","orcid":"https://orcid.org/0009-0007-1721-4792"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yini Peng","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004753222","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0001-9005-6849"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091353529","display_name":"Xin Tian","orcid":"https://orcid.org/0000-0003-1993-2708"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tian","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063060448"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.0526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76611196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9943000078201294,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9919000267982483,"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":0.6952893137931824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5830074548721313},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5637875199317932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801947236061096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37064531445503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952893137931824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5830074548721313},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5637875199317932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801947236061096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37064531445503235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3398188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3398188","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":[{"display_name":"Life below water","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G8308266195","display_name":null,"funder_award_id":"61971315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2010981316","https://openalex.org/W2115548755","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2167191464","https://openalex.org/W2171576754","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2534710061","https://openalex.org/W2739757502","https://openalex.org/W2866634454","https://openalex.org/W2896457183","https://openalex.org/W2904486098","https://openalex.org/W2940637926","https://openalex.org/W2952773607","https://openalex.org/W2962814024","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2966271978","https://openalex.org/W2987150909","https://openalex.org/W3009376633","https://openalex.org/W3013529009","https://openalex.org/W3034752215","https://openalex.org/W3035558814","https://openalex.org/W3080242539","https://openalex.org/W3092290620","https://openalex.org/W3093308980","https://openalex.org/W3133881466","https://openalex.org/W3170843437","https://openalex.org/W3192433787","https://openalex.org/W3203631022","https://openalex.org/W3207918547","https://openalex.org/W3215985015","https://openalex.org/W4210355273","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4280611635","https://openalex.org/W4285108857","https://openalex.org/W4287020683","https://openalex.org/W4287102299","https://openalex.org/W4295136549","https://openalex.org/W4297775537","https://openalex.org/W4321770571","https://openalex.org/W4385245566","https://openalex.org/W4387448964","https://openalex.org/W4387886083","https://openalex.org/W4389580721","https://openalex.org/W4390576768","https://openalex.org/W4390872856","https://openalex.org/W4390872911","https://openalex.org/W6737664043","https://openalex.org/W6755207826","https://openalex.org/W6767785265"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"methods":[2,16,201],"have":[3],"achieved":[4],"remarkable":[5],"results":[6],"in":[7,48,172,202],"super-resolution":[8],"(SR)":[9],"of":[10,76,118,189],"sonar":[11,35,42,77,89,173,184],"images.":[12,36,78,174,185],"However,":[13],"most":[14],"existing":[15],"only":[17],"consider":[18],"simple":[19],"bicubic":[20],"downsampling":[21],"degradation,":[22],"and":[23,143,154,205],"SR":[24,75,108,116,193],"networks":[25],"suitable":[26,33],"for":[27,34,71],"natural":[28],"images":[29,43],"may":[30],"not":[31],"be":[32,147],"Therefore,":[37],"they":[38],"perform":[39],"poorly":[40],"on":[41,87,106,124],"with":[44],"unknown":[45],"degradation":[46,84],"parameters":[47],"real-world":[49],"scenarios":[50],"(":[51],"<italic":[52,56,72,113],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53,57,73,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e</i>":[54],".,":[55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">blind</i>":[58,74,115],"scenario).":[59],"To":[60],"address":[61],"these":[62],"issues,":[63],"we":[64,95],"propose":[65],"a":[66,82],"dual":[67],"cross-refinement":[68],"transformer":[69],"(DCRT)":[70],"DCRT":[79,104,122,176,197],"first":[80],"constructs":[81],"large-scale":[83],"space":[85],"based":[86],"the":[88,98,112,119,137,141,161,199],"image":[90,125],"imaging":[91],"mechanism.":[92],"More":[93],"importantly,":[94],"randomly":[96],"sample":[97],"task-level":[99],"training":[100,142],"information":[101],"to":[102,159,164,181],"make":[103],"robust":[105],"different":[107,192],"tasks,":[109],"thereby":[110],"enhancing":[111],"capability":[117],"network.":[120],"Then,":[121],"focuses":[123],"features":[126,129,167],"than":[127],"domain":[128,138],"through":[130],"spatial-channel":[131],"self-attention":[132],"cross-fusion":[133],"block":[134,158],"(S-C-SACFB),":[135],"so":[136],"gap":[139],"between":[140],"testing":[144],"data":[145],"can":[146],"reduced.":[148],"Meanwhile,":[149],"S-C-SACFB":[150],"effectively":[151],"combines":[152],"inter-attention":[153],"high-frequency":[155,166],"enhancement":[156],"residual":[157,179],"enhance":[160],"network\u2019s":[162],"ability":[163],"extract":[165],"while":[168],"suppressing":[169],"speckle":[170],"noise":[171],"Finally,":[175],"uses":[177],"global":[178],"connections":[180],"generate":[182],"high-resolution":[183],"A":[186],"large":[187],"number":[188],"experiments":[190],"at":[191],"scale":[194],"show":[195],"that":[196],"outperforms":[198],"state\u2013of\u2013the\u2013art":[200],"both":[203],"quantitative":[204],"qualitative":[206],"aspects.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
