{"id":"https://openalex.org/W2547304141","doi":"https://doi.org/10.1109/igarss.2016.7729837","title":"Gridless sparse recovery methods for DLSLA 3-D SAR crosstrack reconstruction","display_name":"Gridless sparse recovery methods for DLSLA 3-D SAR crosstrack reconstruction","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547304141","doi":"https://doi.org/10.1109/igarss.2016.7729837","mag":"2547304141"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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":"https://openalex.org/A5101795593","display_name":"Qian Bao","orcid":"https://orcid.org/0000-0002-4425-5481"},"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/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Bao","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Science (UCAS), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Science (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750735","display_name":"Wen Hong","orcid":"https://orcid.org/0000-0002-8645-2264"},"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/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hong","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086281345","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-3020-5715"},"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/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358508","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0000-0002-2018-3348"},"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/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Wang","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Science (UCAS), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Science (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079669772","display_name":"Bingchen Zhang","orcid":null},"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/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingchen Zhang","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652818","display_name":"Yanping Wang","orcid":"https://orcid.org/0000-0002-1287-670X"},"institutions":[{"id":"https://openalex.org/I4210109779","display_name":"China Academy of Safety Sciences and Technology","ror":"https://ror.org/01pwpsm46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wang","raw_affiliation_strings":["China Academy of Safety Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Safety Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210109779"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020407070","display_name":"Weixian Tan","orcid":"https://orcid.org/0000-0001-9071-9470"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixian Tan","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot, China","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3234","last_page":"3237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9990000128746033,"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":0.7321058511734009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6933334469795227},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6128485202789307},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.505980908870697},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.49769118428230286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48849165439605713},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4514615833759308},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4242873787879944},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.41291525959968567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4063258767127991},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3927570879459381},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3474672734737396},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.31968674063682556},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.24367302656173706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16562935709953308},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13128161430358887}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7321058511734009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933334469795227},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6128485202789307},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.505980908870697},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.49769118428230286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48849165439605713},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4514615833759308},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4242873787879944},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.41291525959968567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4063258767127991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3927570879459381},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3474672734737396},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.31968674063682556},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24367302656173706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16562935709953308},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13128161430358887},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W599284720","https://openalex.org/W1986195997","https://openalex.org/W2006579621","https://openalex.org/W2069374013","https://openalex.org/W2078618370","https://openalex.org/W2118693125","https://openalex.org/W2565293665"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W4285251805","https://openalex.org/W2537887767"],"abstract_inverted_index":{"Downward":[0],"looking":[1],"sparse":[2,55,64,88],"linear":[3],"array":[4],"three-dimensional":[5],"synthetic":[6],"aperture":[7],"radar":[8],"(DLSLA":[9],"3-D":[10,14,70,122],"SAR)":[11],"can":[12,106],"obtain":[13],"scene":[15],"properties":[16],"and":[17,39,79,117],"has":[18],"broad":[19],"application":[20],"prospects.":[21],"However,":[22],"the":[23,37,48,52,85,95,100,103,108,113],"reconstruction":[24,50],"of":[25,54,62,115],"cross-track":[26,49,72,124],"dimension":[27],"usually":[28],"suffers":[29],"from":[30],"incomplete":[31],"observation,":[32],"which":[33,92],"is":[34],"caused":[35],"by":[36],"non-uniformly":[38],"sparsely":[40],"distributed":[41],"virtual":[42],"antenna":[43],"phase":[44],"centers.":[45],"By":[46],"formulating":[47],"into":[51],"problem":[53],"signal":[56],"recovery,":[57],"we":[58],"introduce":[59],"two":[60],"kinds":[61],"gridless":[63,80],"recovery":[65,89],"(GL-SR)":[66],"methods":[67,105,119],"to":[68],"DLSLA":[69,121],"SAR":[71,123],"imaging,":[73],"i.e.,":[74],"atomic":[75],"norm":[76],"minimization":[77],"(ANM)":[78],"SPICE":[81],"(GLS).":[82],"Compared":[83],"with":[84],"conventional":[86],"grid-based":[87],"(GB-SR)":[90],"methods,":[91],"assume":[93],"that":[94],"scatterers":[96],"are":[97],"exactly":[98],"on":[99],"discretized":[101],"grids,":[102],"GL-SR":[104,118],"avoid":[107],"off-grid":[109],"effect.":[110],"Experiments":[111],"compare":[112],"performance":[114],"GB-SR":[116],"for":[120],"reconstruction.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
