{"id":"https://openalex.org/W3009883650","doi":"https://doi.org/10.1109/tnnls.2020.2979546","title":"Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration","display_name":"Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3009883650","doi":"https://doi.org/10.1109/tnnls.2020.2979546","mag":"3009883650","pmid":"https://pubmed.ncbi.nlm.nih.gov/32275618"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2979546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979546","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.03440","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100700900","display_name":"Jian Kang","orcid":"https://orcid.org/0000-0001-6284-3044"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jian Kang","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Technische Universit\u00e4t Berlin (TU Berlin), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Technische Universit\u00e4t Berlin (TU Berlin), Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["GIPSA-Lab, Grenoble INP, CNRS, University of Grenoble Alpes, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"GIPSA-Lab, Grenoble INP, CNRS, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069045947","display_name":"Jialin Liu","orcid":"https://orcid.org/0000-0002-0861-1856"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialin Liu","raw_affiliation_strings":["University of California at Los Angeles (UCLA), Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Los Angeles (UCLA), Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041269548","display_name":"Gerald Baier","orcid":"https://orcid.org/0000-0001-9184-0301"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gerald Baier","raw_affiliation_strings":["Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034435383","display_name":"Naoto Yokoya","orcid":"https://orcid.org/0000-0002-7321-4590"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Yokoya","raw_affiliation_strings":["Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087126293","display_name":"Beg\u00fcm Demir","orcid":"https://orcid.org/0000-0003-2175-7072"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Begum Demir","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Technische Universit\u00e4t Berlin (TU Berlin), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Technische Universit\u00e4t Berlin (TU Berlin), Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100700900"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":5.4956,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.9678556,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"826","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11897","display_name":"Digital Holography and Microscopy","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687945485115051},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.5381408929824829},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5108067989349365},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4773062467575073},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4355711340904236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3404061794281006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32595980167388916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22328805923461914},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1779535412788391},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.16397160291671753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14272314310073853},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12142953276634216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687945485115051},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.5381408929824829},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5108067989349365},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4773062467575073},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4355711340904236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3404061794281006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32595980167388916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22328805923461914},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1779535412788391},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.16397160291671753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14272314310073853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12142953276634216}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2020.2979546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2979546","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32275618","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32275618","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:2003.03440","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.03440","pdf_url":"https://arxiv.org/pdf/2003.03440","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.03440","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.03440","pdf_url":"https://arxiv.org/pdf/2003.03440","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6784837499","display_name":null,"funder_award_id":"759764","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1584097427","https://openalex.org/W1786486465","https://openalex.org/W1946953458","https://openalex.org/W1976709621","https://openalex.org/W2004376198","https://openalex.org/W2011468523","https://openalex.org/W2015695644","https://openalex.org/W2022459032","https://openalex.org/W2025494752","https://openalex.org/W2035875937","https://openalex.org/W2046387231","https://openalex.org/W2048878808","https://openalex.org/W2052491606","https://openalex.org/W2068538199","https://openalex.org/W2077282160","https://openalex.org/W2078204800","https://openalex.org/W2079886161","https://openalex.org/W2083147054","https://openalex.org/W2097073572","https://openalex.org/W2110764636","https://openalex.org/W2115492038","https://openalex.org/W2117259536","https://openalex.org/W2144851790","https://openalex.org/W2146103307","https://openalex.org/W2164278908","https://openalex.org/W2190662802","https://openalex.org/W2202656999","https://openalex.org/W2293078015","https://openalex.org/W2342911569","https://openalex.org/W2481877944","https://openalex.org/W2532801510","https://openalex.org/W2546971174","https://openalex.org/W2588117332","https://openalex.org/W2588852908","https://openalex.org/W2609880332","https://openalex.org/W2613034492","https://openalex.org/W2615707370","https://openalex.org/W2625947046","https://openalex.org/W2733076523","https://openalex.org/W2755992512","https://openalex.org/W2759351035","https://openalex.org/W2776654051","https://openalex.org/W2784516553","https://openalex.org/W2789815737","https://openalex.org/W2792944346","https://openalex.org/W2811368253","https://openalex.org/W2897962879","https://openalex.org/W2902746003","https://openalex.org/W2907147407","https://openalex.org/W2934322771","https://openalex.org/W2952071070","https://openalex.org/W2952565170","https://openalex.org/W2953303055","https://openalex.org/W2977355106","https://openalex.org/W2994639710","https://openalex.org/W3001407674","https://openalex.org/W3041621345","https://openalex.org/W3099868519","https://openalex.org/W3100580369","https://openalex.org/W3101012758","https://openalex.org/W3101640299","https://openalex.org/W3103294617","https://openalex.org/W3103490597","https://openalex.org/W3105021316","https://openalex.org/W3105298104","https://openalex.org/W3105304071","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2610189143","https://openalex.org/W2073681303","https://openalex.org/W2159424856","https://openalex.org/W1988809445","https://openalex.org/W2112026144","https://openalex.org/W2045753504","https://openalex.org/W2016541458","https://openalex.org/W4248877799","https://openalex.org/W2065031478"],"abstract_inverted_index":{"Interferometric":[0],"phase":[1,20,42,54,85,100,120],"restoration":[2,86],"has":[3],"been":[4],"investigated":[5],"for":[6,18,52,122,178],"decades":[7],"and":[8,37,63,108,131,134,141],"most":[9],"of":[10,41,71,170],"the":[11,26,34,39,69,72,77,83,105,110,118,123,163,182],"state-of-the-art":[12,155,164],"methods":[13,23,94,156],"have":[14],"achieved":[15],"promising":[16],"performances":[17],"InSAR":[19,53,84,160],"restoration.":[21],"These":[22],"generally":[24],"follow":[25],"nonlocal":[27,159],"filtering":[28],"processing":[29],"chain,":[30],"aiming":[31],"at":[32],"circumventing":[33],"staircase":[35,106],"effect":[36,107],"preserving":[38],"details":[40],"variations.":[43],"In":[44],"this":[45,75,171],"article,":[46],"we":[47,81],"propose":[48],"an":[49,115],"alternative":[50],"approach":[51],"restoration,":[55],"that":[56,80,149],"is,":[57],"Complex":[58],"Convolutional":[59],"Sparse":[60],"Coding":[61],"(ComCSC)":[62],"its":[64],"gradient":[65],"regularized":[66],"version.":[67],"To":[68],"best":[70],"authors'":[73],"knowledge,":[74],"is":[76],"first":[78],"time":[79],"solve":[82],"problem":[87],"in":[88],"a":[89],"deconvolutional":[90],"fashion.":[91],"The":[92,126,167],"proposed":[93],"can":[95],"not":[96],"only":[97],"suppress":[98],"interferometric":[99,124,143],"noise,":[101],"but":[102],"also":[103],"avoid":[104],"preserve":[109],"details.":[111],"Furthermore,":[112],"they":[113],"provide":[114],"insight":[116],"into":[117],"elementary":[119],"components":[121],"phases.":[125],"experimental":[127],"results":[128],"on":[129,158],"synthetic":[130],"realistic":[132],"high-":[133],"medium-resolution":[135],"data":[136],"sets":[137],"from":[138],"TerraSAR-X":[139],"StripMap":[140],"Sentinel-1":[142],"wide":[144],"swath":[145],"mode,":[146],"respectively,":[147],"show":[148],"our":[150],"method":[151],"outperforms":[152],"those":[153],"previous":[154],"based":[157],"filters,":[161],"particularly":[162],"method:":[165],"InSAR-BM3D.":[166],"source":[168],"code":[169],"article":[172],"will":[173],"be":[174],"made":[175],"publicly":[176],"available":[177],"reproducible":[179],"research":[180],"inside":[181],"community.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":25}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
