{"id":"https://openalex.org/W4416649607","doi":"https://doi.org/10.1109/lgrs.2025.3637133","title":"Self-Supervised SAR Despeckling by Integrating Denoiser Prior With Attributed Scattering Center","display_name":"Self-Supervised SAR Despeckling by Integrating Denoiser Prior With Attributed Scattering Center","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416649607","doi":"https://doi.org/10.1109/lgrs.2025.3637133"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3637133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3637133","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":null,"display_name":"Xiandong Duan","orcid":"https://orcid.org/0009-0009-4150-5690"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiandong Duan","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0009-4150-5690","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797790","display_name":"Huangxing Lin","orcid":"https://orcid.org/0000-0001-6247-586X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangxing Lin","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059102739","display_name":"Tianpeng Liu","orcid":"https://orcid.org/0000-0003-2522-656X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianpeng Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2522-656X","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32848681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.7759000062942505,"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":0.7759000062942505,"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":0.05609999969601631,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.04399999976158142,"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":0.7164000272750854},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5690000057220459},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5426999926567078},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5015000104904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.4747999906539917},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4489000141620636},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43959999084472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372999787330627},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7164000272750854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699000000953674},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5690000057220459},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5015000104904175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.4747999906539917},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4489000141620636},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4133000075817108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40389999747276306},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3720000088214874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3637133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3637133","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":[],"awards":[{"id":"https://openalex.org/G5747617250","display_name":null,"funder_award_id":"62531026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7774348999","display_name":null,"funder_award_id":"62376283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8871437338","display_name":null,"funder_award_id":"2025J01179","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1990881969","https://openalex.org/W2004376198","https://openalex.org/W2117294245","https://openalex.org/W2144851790","https://openalex.org/W2963583038","https://openalex.org/W3013302728","https://openalex.org/W3037578234","https://openalex.org/W3039487145","https://openalex.org/W3109844178","https://openalex.org/W3136138438","https://openalex.org/W3178192988","https://openalex.org/W3186988237","https://openalex.org/W3194934674","https://openalex.org/W4225580305","https://openalex.org/W4389891075","https://openalex.org/W4391594031","https://openalex.org/W4404396320"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1,25],"has":[2],"become":[3],"the":[4,12,49,55,86,92,104,138,144,159],"mainstream":[5],"approach":[6],"for":[7,22,64],"SAR":[8,16,35,72,120],"image":[9,112],"despeckling.":[10],"However,":[11],"lack":[13],"of":[14,57,162,166],"speckle-free":[15],"images":[17,73],"poses":[18],"a":[19,33,40,62],"significant":[20],"challenge":[21],"supervised":[23],"deep":[24],"methods.":[26],"To":[27],"overcome":[28],"this":[29],"limitation,":[30],"we":[31,53],"propose":[32],"self-supervised":[34,140],"despeckling":[36,128],"method":[37,125,132,149],"that":[38,123,155],"leverages":[39],"denoiser":[41,60],"prior":[42],"and":[43,91,109,118,152],"attributed":[44,96],"scattering":[45,97],"centers":[46],"to":[47,102,158],"enhance":[48],"training":[50],"process.":[51],"Specifically,":[52,130],"use":[54],"output":[56,90],"an":[58,95],"external":[59],"as":[61],"pseudo-label":[63],"despeckling,":[65],"while":[66],"spatially":[67],"correlated":[68],"speckle":[69],"noise":[70],"in":[71],"is":[74,81,100,169],"decorrelated":[75],"through":[76],"random":[77],"downsampling.":[78],"The":[79,164],"network":[80,105],"then":[82],"updated":[83],"by":[84,135],"optimizing":[85],"similarity":[87],"between":[88],"its":[89],"pseudo-label.":[93],"Additionally,":[94],"center":[98],"map":[99],"introduced":[101],"help":[103],"recognize":[106],"strong":[107],"scatterers":[108],"better":[110],"preserve":[111],"details.":[113],"Experiments":[114],"on":[115,143],"both":[116],"synthetic":[117],"real":[119],"datasets":[121],"demonstrate":[122],"our":[124,131,148,167],"outperforms":[126],"existing":[127],"approaches.":[129],"improves":[133],"ENL":[134],"16%":[136],"over":[137],"recent":[139],"MERLIN":[141],"framework":[142],"TerraSAR":[145],"scene.":[146],"Meanwhile,":[147],"achieves":[150],"MOR":[151],"VOR":[153],"values":[154],"are":[156],"closer":[157],"ideal":[160],"value":[161],"1.0.":[163],"code":[165],"work":[168],"made":[170],"freely":[171],"available":[172],"at":[173],"https://github.com/Duan-NUDT/SARDIDP_ASC.":[174]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-25T00:00:00"}