{"id":"https://openalex.org/W3202273022","doi":"https://doi.org/10.1109/tgrs.2021.3111901","title":"A Computational Efficient 2-D Block-Sparse ISAR Imaging Method Based on PCSBL-GAMP-Net","display_name":"A Computational Efficient 2-D Block-Sparse ISAR Imaging Method Based on PCSBL-GAMP-Net","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3202273022","doi":"https://doi.org/10.1109/tgrs.2021.3111901","mag":"3202273022"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3111901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3111901","pdf_url":null,"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":["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/A5102895928","display_name":"Ruize Li","orcid":"https://orcid.org/0000-0001-5458-2710"},"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":"Ruize Li","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5458-2710","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/A5018019726","display_name":"Shuanghui Zhang","orcid":"https://orcid.org/0000-0002-7496-5433"},"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":"Shuanghui Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7496-5433","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/A5100610538","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0002-0218-0055"},"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":"Chi Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0218-0055","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/A5054002392","display_name":"Yongxiang Liu","orcid":"https://orcid.org/0000-0002-0682-8365"},"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":"Yongxiang Liu","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0682-8365","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":"last","author":{"id":"https://openalex.org/A5100331131","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-4383-6505"},"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":"Xiang Li","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4383-6505","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":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3869,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93013922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994000196456909,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-science","display_name":"Computer science","score":0.8019570112228394},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6689053773880005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5812743306159973},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5760014653205872},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5735475420951843},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4654083549976349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.449161171913147},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4342251121997833},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42852646112442017},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.29359930753707886},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2931501269340515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12560370564460754},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10809943079948425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019570112228394},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6689053773880005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5812743306159973},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5760014653205872},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5735475420951843},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4654083549976349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.449161171913147},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4342251121997833},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42852646112442017},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.29359930753707886},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2931501269340515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12560370564460754},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10809943079948425},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/tgrs.2021.3111901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3111901","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2899059864","display_name":null,"funder_award_id":"2019TQ0072","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5420971292","display_name":null,"funder_award_id":"61801484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5979008009","display_name":null,"funder_award_id":"61921001","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W422388727","https://openalex.org/W1539800233","https://openalex.org/W1595820098","https://openalex.org/W1648445109","https://openalex.org/W1981157266","https://openalex.org/W2006374434","https://openalex.org/W2006832476","https://openalex.org/W2026933032","https://openalex.org/W2071282831","https://openalex.org/W2071284784","https://openalex.org/W2082029531","https://openalex.org/W2090482733","https://openalex.org/W2091710249","https://openalex.org/W2135858797","https://openalex.org/W2166670884","https://openalex.org/W2198155329","https://openalex.org/W2205608177","https://openalex.org/W2508457857","https://openalex.org/W2563113662","https://openalex.org/W2596873572","https://openalex.org/W2619204584","https://openalex.org/W2767083247","https://openalex.org/W2794383492","https://openalex.org/W2798559986","https://openalex.org/W2798818887","https://openalex.org/W2902719825","https://openalex.org/W2907401811","https://openalex.org/W2962760202","https://openalex.org/W2978819667","https://openalex.org/W2979357982","https://openalex.org/W3011962637","https://openalex.org/W3012172214","https://openalex.org/W3024890996","https://openalex.org/W3036959716","https://openalex.org/W3078162961","https://openalex.org/W3080726275","https://openalex.org/W3100420365","https://openalex.org/W3158906999","https://openalex.org/W3171406516","https://openalex.org/W3177310625","https://openalex.org/W4250955649","https://openalex.org/W6638670064","https://openalex.org/W6739495466"],"related_works":["https://openalex.org/W1974175953","https://openalex.org/W2215785064","https://openalex.org/W2184572253","https://openalex.org/W2737338842","https://openalex.org/W3005946484","https://openalex.org/W2986034714","https://openalex.org/W1500257147","https://openalex.org/W2372267530","https://openalex.org/W4303857162","https://openalex.org/W2965643117"],"abstract_inverted_index":{"Sparse":[0],"aperture":[1,4],"inverse":[2],"synthesis":[3],"radar":[5,29],"(SA-ISAR)":[6],"imaging":[7],"is":[8,71,104,110,125,138,167],"generally":[9],"solved":[10],"by":[11],"compressed":[12],"sensing":[13],"(CS)":[14],"methods":[15,23],"or":[16],"sparse":[17,63],"signal":[18],"recovery":[19],"(SSR).":[20],"Many":[21],"SSR":[22],"focus":[24],"on":[25,36,117,146],"the":[26,43,79,107,118,122,152,155,159,164,172],"sparsity":[27],"of":[28,42,81,89,154],"images":[30,88],"only,":[31],"which":[32],"achieves":[33],"unsatisfactory":[34],"results":[35,144],"structural":[37],"data.":[38],"In":[39,53],"addition,":[40],"most":[41],"traditional":[44,160,173],"CS":[45],"algorithms":[46],"suffer":[47],"from":[48,84],"a":[49,56,97,129],"heavy":[50],"computational":[51,113],"burden.":[52],"this":[54],"article,":[55],"new":[57],"deep":[58,130],"unfolding":[59],"network":[60,75,131,141],"called":[61],"pattern-coupled":[62,99],"Bayesian":[64,114],"learning":[65],"(PCSBL)-generalized":[66],"approximate":[67],"message":[68],"passing":[69],"(GAMP)-Net":[70],"proposed.":[72],"The":[73],"proposed":[74,156,165],"structure":[76],"can":[77],"learn":[78],"model":[80,103],"block-sparse":[82],"information":[83],"data":[85,150],"to":[86,127],"reconstruct":[87],"better":[90],"quality":[91],"via":[92],"fewer":[93],"iteration":[94],"steps.":[95],"First,":[96],"complex-valued":[98,134],"hierarchical":[100],"Gaussian":[101],"prior":[102],"established.":[105],"Then,":[106],"GAMP":[108],"algorithm":[109,137,166],"applied":[111],"for":[112,140],"inference.":[115],"Based":[116],"previous":[119],"PCSBL-GAMP":[120,161,174],"framework,":[121],"iterative":[123],"procedure":[124],"unrolled":[126],"be":[128],"structure.":[132],"A":[133],"backpropagation":[135],"(BP)":[136],"derived":[139],"training.":[142],"Experiment":[143],"based":[145],"simulated":[147],"and":[148],"measured":[149],"validate":[151],"superiority":[153],"method":[157],"over":[158],"algorithm.":[162,175],"Also,":[163],"ten":[168],"times":[169],"faster":[170],"than":[171]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}