{"id":"https://openalex.org/W4306966014","doi":"https://doi.org/10.3390/rs14205257","title":"Filtered Convolution for Synthetic Aperture Radar Images Ship Detection","display_name":"Filtered Convolution for Synthetic Aperture Radar Images Ship Detection","publication_year":2022,"publication_date":"2022-10-20","ids":{"openalex":"https://openalex.org/W4306966014","doi":"https://doi.org/10.3390/rs14205257"},"language":"en","primary_location":{"id":"doi:10.3390/rs14205257","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205257","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5257/pdf?version=1666272644","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/20/5257/pdf?version=1666272644","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002496318","display_name":"Luyang Zhang","orcid":"https://orcid.org/0000-0002-4310-7786"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyang Zhang","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457230","display_name":"Haitao Wang","orcid":"https://orcid.org/0009-0004-2276-587X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Wang","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629699","display_name":"Lingfeng Wang","orcid":"https://orcid.org/0000-0003-1658-9860"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435212","display_name":"Chunhong Pan","orcid":"https://orcid.org/0000-0001-7433-4474"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Pan","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Huo","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409453","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-1028-0582"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101412520","display_name":"Xinyao Wang","orcid":"https://orcid.org/0009-0008-8194-5669"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Wang","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100457230"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.7362,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95557367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"20","first_page":"5257","last_page":"5257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7387677431106567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249788641929626},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7123756408691406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6344756484031677},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6124576926231384},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5597420334815979},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4925015866756439},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4730769097805023},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4640086889266968},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35660701990127563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.352766215801239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15184801816940308},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1271217167377472},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07574203610420227}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7387677431106567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249788641929626},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7123756408691406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6344756484031677},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6124576926231384},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5597420334815979},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4925015866756439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4730769097805023},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4640086889266968},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35660701990127563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.352766215801239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15184801816940308},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1271217167377472},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07574203610420227},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14205257","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205257","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5257/pdf?version=1666272644","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4bf0ce188d7e47e98d004da9336f0f0c","is_oa":true,"landing_page_url":"https://doaj.org/article/4bf0ce188d7e47e98d004da9336f0f0c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 20, p 5257 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/20/5257/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14205257","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 20; Pages: 5257","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14205257","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14205257","pdf_url":"https://www.mdpi.com/2072-4292/14/20/5257/pdf?version=1666272644","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2132467328","display_name":null,"funder_award_id":"buctrc202221","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2991255321","display_name":null,"funder_award_id":"2020014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7944510731","display_name":null,"funder_award_id":"NJ2020014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8371147920","display_name":null,"funder_award_id":"NO.NJ2020014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306966014.pdf","grobid_xml":"https://content.openalex.org/works/W4306966014.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1991863442","https://openalex.org/W2031489346","https://openalex.org/W2036524212","https://openalex.org/W2049909233","https://openalex.org/W2096433476","https://openalex.org/W2104763670","https://openalex.org/W2111899019","https://openalex.org/W2117294245","https://openalex.org/W2151221869","https://openalex.org/W2161943271","https://openalex.org/W2508457857","https://openalex.org/W2621042270","https://openalex.org/W2734720508","https://openalex.org/W2752782242","https://openalex.org/W2753490251","https://openalex.org/W2757678917","https://openalex.org/W2925359305","https://openalex.org/W2951287298","https://openalex.org/W2953133772","https://openalex.org/W2961699889","https://openalex.org/W2963583038","https://openalex.org/W2988553273","https://openalex.org/W2989676862","https://openalex.org/W3034421924","https://openalex.org/W3038948729","https://openalex.org/W3041525128","https://openalex.org/W3089780760","https://openalex.org/W3092462694","https://openalex.org/W3096609285","https://openalex.org/W3122764147","https://openalex.org/W3125116146","https://openalex.org/W3132437634","https://openalex.org/W3134019856","https://openalex.org/W3169505930","https://openalex.org/W3175531063","https://openalex.org/W3181848549","https://openalex.org/W3190238140","https://openalex.org/W3193629242","https://openalex.org/W3198480665","https://openalex.org/W3200733355","https://openalex.org/W4205254742","https://openalex.org/W4206952097","https://openalex.org/W4285736278","https://openalex.org/W6761108903","https://openalex.org/W6800746869","https://openalex.org/W6805085213"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W1989852278"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"image":[4,107,212],"ship":[5,40,154,199],"detection":[6,155,200],"is":[7,80,96,116,129,151],"currently":[8],"a":[9,25,50,97,196,209],"research":[10],"hotspot":[11],"in":[12,36,156,181],"the":[13,37,55,68,72,77,85,119,123,141,164,167,172,182,189],"field":[14],"of":[15,28,39,71,122,137,166,192],"national":[16],"defense":[17],"science":[18],"and":[19,59,79,88,128,171],"technology.":[20],"However,":[21],"SAR":[22,157,183,198,211],"images":[23,125],"contain":[24,145],"large":[26],"amount":[27],"coherent":[29,61,178],"speckle":[30,62,179],"noise,":[31],"which":[32,150,215],"poses":[33],"significant":[34],"challenges":[35],"task":[38],"detection.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"we":[46,161],"propose":[47],"filter":[48,73],"convolution,":[49],"novel":[51],"design":[52],"that":[53,100,163],"replaces":[54],"traditional":[56],"convolution":[57,69,74,103],"layer":[58],"suppresses":[60],"noise":[63,180],"while":[64],"extracting":[65],"features.":[66],"Specifically,":[67],"kernel":[70],"comes":[75],"from":[76],"input":[78,106,124],"generated":[81],"by":[82],"two":[83],"modules:":[84],"kernel-generation":[86,94,169],"module":[87,95,115,170,175],"local":[89,112,133,138,147,173],"weight":[90,113,174],"generation":[91,114],"module.":[92],"The":[93,111,135,185],"dynamic":[98,102],"structure":[99],"generates":[101],"kernels":[104],"using":[105],"or":[108,126],"feature":[109],"information.":[110],"based":[117],"on":[118,195,208],"statistical":[120],"characteristics":[121],"features":[127,143],"used":[130],"to":[131,144,153],"generate":[132],"weights.":[134],"introduction":[136],"weights":[139],"allows":[140],"extracted":[142],"more":[146],"characteristic":[148],"information,":[149],"conducive":[152],"images.":[158],"In":[159],"addition,":[160],"proved":[162],"fusion":[165],"proposed":[168],"can":[176],"suppress":[177],"image.":[184],"experimental":[186],"results":[187],"show":[188],"excellent":[190],"performance":[191,207],"our":[193],"method":[194],"large-scale":[197],"dataset-v1.0":[201],"(LS-SSDD-v1.0).":[202],"It":[203],"also":[204],"achieved":[205],"state-of-the-art":[206],"high-resolution":[210],"dataset":[213],"(HRSID),":[214],"confirmed":[216],"its":[217],"applicability.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}