{"id":"https://openalex.org/W2994512389","doi":"https://doi.org/10.3390/rs11242921","title":"HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling","display_name":"HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W2994512389","doi":"https://doi.org/10.3390/rs11242921","mag":"2994512389"},"language":"en","primary_location":{"id":"doi:10.3390/rs11242921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11242921","pdf_url":"https://www.mdpi.com/2072-4292/11/24/2921/pdf?version=1575618189","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/2072-4292/11/24/2921/pdf?version=1575618189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108050235","display_name":"Jingyu Li","orcid":"https://orcid.org/0000-0001-5617-7014"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Li","raw_affiliation_strings":["School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785617","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7370-1754"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Li","raw_affiliation_strings":["School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570937","display_name":"Yayuan Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayuan Xiao","raw_affiliation_strings":["School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, School of Software, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063391988","display_name":"Yunpeng Bai","orcid":"https://orcid.org/0000-0002-6923-672X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yunpeng Bai","raw_affiliation_strings":["School of Computing and Information Systems, The University of Melbourne, Victoria 3010, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, The University of Melbourne, Victoria 3010, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100785617"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.839,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.88957548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"24","first_page":"2921","last_page":"2921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9968000054359436,"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":0.9927999973297119,"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/residual","display_name":"Residual","score":0.7994883060455322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867614030838013},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6706550121307373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6496862769126892},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5979795455932617},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5335476994514465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.499722957611084},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49136534333229065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4323538541793823},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.39635518193244934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2737298309803009},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22128379344940186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07273399829864502}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7994883060455322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867614030838013},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6706550121307373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6496862769126892},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5979795455932617},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5335476994514465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.499722957611084},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49136534333229065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4323538541793823},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.39635518193244934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2737298309803009},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22128379344940186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07273399829864502},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11242921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11242921","pdf_url":"https://www.mdpi.com/2072-4292/11/24/2921/pdf?version=1575618189","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:mdpi.com:/2072-4292/11/24/2921/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11242921","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 11; Issue 24; Pages: 2921","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11242921","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11242921","pdf_url":"https://www.mdpi.com/2072-4292/11/24/2921/pdf?version=1575618189","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2261214789","display_name":null,"funder_award_id":"3102019ghxm016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G259401970","display_name":null,"funder_award_id":"61871460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4440020096","display_name":null,"funder_award_id":"02019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5261116495","display_name":null,"funder_award_id":"61871460, 61876152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6443806977","display_name":null,"funder_award_id":"61876152","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994512389.pdf","grobid_xml":"https://content.openalex.org/works/W2994512389.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W112727521","https://openalex.org/W1903029394","https://openalex.org/W1980038761","https://openalex.org/W1985470195","https://openalex.org/W1998339281","https://openalex.org/W2004376198","https://openalex.org/W2049909233","https://openalex.org/W2090563002","https://openalex.org/W2104763670","https://openalex.org/W2117294245","https://openalex.org/W2129641656","https://openalex.org/W2144851790","https://openalex.org/W2161943271","https://openalex.org/W2162042504","https://openalex.org/W2163612361","https://openalex.org/W2194775991","https://openalex.org/W2508457857","https://openalex.org/W2518013266","https://openalex.org/W2520164769","https://openalex.org/W2577238056","https://openalex.org/W2592939477","https://openalex.org/W2604403460","https://openalex.org/W2621042270","https://openalex.org/W2736385099","https://openalex.org/W2752782242","https://openalex.org/W2757678917","https://openalex.org/W2764207251","https://openalex.org/W2884585870","https://openalex.org/W2908955282","https://openalex.org/W2922660417","https://openalex.org/W2930359273","https://openalex.org/W2941387379","https://openalex.org/W2954537798","https://openalex.org/W2962850830","https://openalex.org/W2963150697","https://openalex.org/W2963495494","https://openalex.org/W2963583038","https://openalex.org/W2963725279","https://openalex.org/W2981689412","https://openalex.org/W2988442756","https://openalex.org/W3104725225","https://openalex.org/W6618372016","https://openalex.org/W6674723063","https://openalex.org/W6674855086"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,44,71],"remove":[3],"speckle":[4],"noise":[5],"from":[6],"original":[7],"synthetic":[8,96],"aperture":[9],"radar":[10],"(SAR)":[11],"images":[12,100],"effectively":[13],"and":[14,49,86,97,116],"efficiently,":[15],"this":[16],"paper":[17],"proposes":[18],"a":[19,54,73],"hybrid":[20,36],"dilated":[21,37],"residual":[22,27,74],"attention":[23,58,62,76],"network":[24,42],"(HDRANet)":[25],"with":[26],"learning":[28],"for":[29],"SAR":[30,99],"despeckling.":[31],"Firstly,":[32],"HDRANet":[33,106],"employs":[34],"the":[35,46,68,89,95,102,108],"convolution":[38],"(HDC)":[39],"in":[40,111],"lightweight":[41],"architecture":[43],"enlarge":[45],"receptive":[47],"field":[48],"aggregate":[50],"global":[51],"information.":[52],"Then,":[53],"simple":[55],"yet":[56],"effective":[57],"module,":[59],"convolutional":[60],"block":[61,77],"module":[63],"(CBAM),":[64],"is":[65],"integrated":[66],"into":[67],"proposed":[69],"model":[70],"constitute":[72],"HDC":[75],"through":[78],"skip":[79],"connection,":[80],"which":[81],"further":[82],"enhances":[83],"representation":[84],"power":[85],"performance":[87,104],"of":[88,105,113],"model.":[90],"Extensive":[91],"experimental":[92],"results":[93],"on":[94],"real":[98],"demonstrate":[101],"superior":[103],"over":[107],"state-of-the-art":[109],"methods":[110],"terms":[112],"quantitative":[114],"metrics":[115],"visual":[117],"quality.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
