{"id":"https://openalex.org/W2899901052","doi":"https://doi.org/10.1109/tgrs.2018.2879382","title":"Nonlocal Compressive Sensing-Based SAR Tomography","display_name":"Nonlocal Compressive Sensing-Based SAR Tomography","publication_year":2019,"publication_date":"2019-01-04","ids":{"openalex":"https://openalex.org/W2899901052","doi":"https://doi.org/10.1109/tgrs.2018.2879382","mag":"2899901052"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2879382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2879382","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/8697166/08602446.pdf","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/36/8697166/08602446.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yilei Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yilei Shi","raw_affiliation_strings":["Chair of Remote Sensing Technology, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Remote Sensing Technology, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao xiang Zhu","raw_affiliation_strings":["Signal Processing in Earth Observation, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5530-3613","affiliations":[{"raw_affiliation_string":"Signal Processing in Earth Observation, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":null,"display_name":"Richard Bamler","orcid":"https://orcid.org/0000-0002-0975-0743"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard Bamler","raw_affiliation_strings":["Chair of Remote Sensing Technology, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0975-0743","affiliations":[{"raw_affiliation_string":"Chair of Remote Sensing Technology, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":58.4174,"has_fulltext":true,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99671756,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"57","issue":"5","first_page":"3015","last_page":"3024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.8260999917984009,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.8260999917984009,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.0681999996304512,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.05810000002384186,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7141000032424927},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6485999822616577},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5902000069618225},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5559999942779541},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.501800000667572},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4961000084877014},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.41920000314712524},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4077000021934509}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7141000032424927},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6485999822616577},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636000037193298},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5332000255584717},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.501800000667572},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4036000072956085},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.3709000051021576},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.33250001072883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.3089999854564667},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C143606050","wikidata":"https://www.wikidata.org/wiki/Q1377019","display_name":"Inverse transform sampling","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C62282787","wikidata":"https://www.wikidata.org/wiki/Q831483","display_name":"Side looking airborne radar","level":5,"score":0.289900004863739},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2858000099658966},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2018.2879382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2879382","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/8697166/08602446.pdf","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"},{"id":"pmh:oai:elib.dlr.de:122745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TGRS.2018.2879382>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Zeitschriftenbeitrag"},{"id":"pmh:oai:arXiv.org:1811.02046","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.02046","pdf_url":"https://arxiv.org/pdf/1811.02046","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"doi:10.1109/tgrs.2018.2879382","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2879382","pdf_url":"https://ieeexplore.ieee.org/ielx7/36/8697166/08602446.pdf","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1699902684","display_name":null,"funder_award_id":"[ERC-2016-StG-714087]","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G403728962","display_name":null,"funder_award_id":"VH-NG-1018","funder_id":"https://openalex.org/F4320320876","funder_display_name":"Helmholtz-Gemeinschaft"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320876","display_name":"Helmholtz-Gemeinschaft","ror":"https://ror.org/0281dp749"},{"id":"https://openalex.org/F4320328348","display_name":"Bayerisch-Kalifornischen Hochschulzentrum","ror":null},{"id":"https://openalex.org/F4320331035","display_name":"Munich Aerospace","ror":null},{"id":"https://openalex.org/F4320331625","display_name":"Gauss Centre for Supercomputing","ror":"https://ror.org/0585fsj26"},{"id":"https://openalex.org/F4320334763","display_name":"Leibniz-Gemeinschaft","ror":"https://ror.org/01n6r0e97"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899901052.pdf","grobid_xml":"https://content.openalex.org/works/W2899901052.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1473204425","https://openalex.org/W1614218913","https://openalex.org/W1999826569","https://openalex.org/W2001587991","https://openalex.org/W2030571511","https://openalex.org/W2044127760","https://openalex.org/W2048289234","https://openalex.org/W2056370875","https://openalex.org/W2063522293","https://openalex.org/W2082456873","https://openalex.org/W2097073572","https://openalex.org/W2098353811","https://openalex.org/W2110764636","https://openalex.org/W2136449732","https://openalex.org/W2142212280","https://openalex.org/W2145250341","https://openalex.org/W2145491683","https://openalex.org/W2148715443","https://openalex.org/W2167811736","https://openalex.org/W2168175751","https://openalex.org/W2613211097","https://openalex.org/W2756281548","https://openalex.org/W2889465479","https://openalex.org/W2963380308","https://openalex.org/W6690987580"],"related_works":[],"abstract_inverted_index":{"Tomographic":[0],"synthetic":[1],"aperture":[2],"radar":[3],"(TomoSAR)":[4],"inversion":[5,103,120],"of":[6,42,58,79,82,110,152],"urban":[7],"areas":[8],"is":[9,74,116,121,155],"an":[10,166],"inherently":[11],"sparse":[12],"reconstruction":[13,89,109,148],"problem":[14],"and,":[15],"hence,":[16],"can":[17,52,65],"be":[18,53,66],"solved":[19],"using":[20,157],"compressive":[21],"sensing":[22],"(CS)":[23],"algorithms.":[24,149],"This":[25],"paper":[26],"proposes":[27],"solutions":[28],"for":[29,128,139],"two":[30],"notorious":[31],"problems":[32],"in":[33,168],"this":[34],"field.":[35],"First,":[36],"TomoSAR":[37],"requires":[38],"a":[39,107,133],"high":[40],"number":[41,57,81],"data":[43,159],"sets,":[44],"which":[45],"makes":[46],"the":[47,56,61,77,80,88,102,141,153],"technique":[48],"expensive.":[49],"However,":[50],"it":[51,73],"shown":[54],"that":[55,86,106],"acquisitions":[59,83],"and":[60,84,104,124,136,160],"signal-to-noise":[62],"ratio":[63],"(SNR)":[64],"traded":[67],"off":[68],"against":[69],"each":[70],"other,":[71],"because":[72],"asymptotically":[75],"only":[76,113],"product":[78],"SNR":[85,95],"determines":[87],"quality.":[90],"We":[91,131],"propose":[92],"to":[93,146],"increase":[94],"by":[96],"integrating":[97],"nonlocal":[98],"(NL)":[99],"estimation":[100],"into":[101],"show":[105],"reasonable":[108],"buildings":[111],"from":[112],"seven":[114],"interferograms":[115],"feasible.":[117],"Second,":[118],"CS-based":[119,147],"computationally":[122],"expensive":[123],"therefore,":[125],"barely":[126],"suitable":[127],"large-scale":[129],"applications.":[130],"introduce":[132],"new":[134],"fast":[135],"accurate":[137],"algorithm":[138,154],"solving":[140],"NL":[142],"L1-L2-minimization":[143],"problem,":[144],"central":[145],"The":[150],"applicability":[151],"demonstrated":[156],"simulated":[158],"TerraSAR-X":[161],"high-resolution":[162],"spotlight":[163],"images":[164],"over":[165],"area":[167],"Munich,":[169],"Germany.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2018-11-16T00:00:00"}