{"id":"https://openalex.org/W7115888294","doi":"https://doi.org/10.1109/lgrs.2025.3645604","title":"PTIR-Net: A Joint Optimization Network of Pulse Transmission and Sparse Reconstruction for Azimuth Multichannel SAR System","display_name":"PTIR-Net: A Joint Optimization Network of Pulse Transmission and Sparse Reconstruction for Azimuth Multichannel SAR System","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W7115888294","doi":"https://doi.org/10.1109/lgrs.2025.3645604"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3645604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645604","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":"Zirui Ma","orcid":"https://orcid.org/0009-0007-7728-4135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zirui Ma","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-7728-4135","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinyi Ye","orcid":"https://orcid.org/0009-0009-0227-5482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyi Ye","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-0227-5482","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0003-3192-3476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3192-3476","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bingchen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingchen Zhang","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolan Qiu","orcid":"https://orcid.org/0000-0002-8517-3415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolan Qiu","raw_affiliation_strings":["National Key Laboratory of Microwave Imaging, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8517-3415","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Microwave Imaging, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94610953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9319000244140625,"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":0.9319000244140625,"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":0.03240000084042549,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.008299999870359898,"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/azimuth","display_name":"Azimuth","score":0.8357999920845032},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.76419997215271},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5418999791145325},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4415000081062317},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4009999930858612},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.3977999985218048},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.3910999894142151},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3734999895095825}],"concepts":[{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.8357999920845032},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.76419997215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569000124931335},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4778999984264374},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.412200003862381},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.3977999985218048},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3734999895095825},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.36910000443458557},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.33550000190734863},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.33379998803138733},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C182862853","wikidata":"https://www.wikidata.org/wiki/Q575887","display_name":"Pulse repetition frequency","level":3,"score":0.3149999976158142},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C62282787","wikidata":"https://www.wikidata.org/wiki/Q831483","display_name":"Side looking airborne radar","level":5,"score":0.3027999997138977},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C172321821","wikidata":"https://www.wikidata.org/wiki/Q7259685","display_name":"Pulse wave","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3645604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3645604","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2093631663","https://openalex.org/W2111684260","https://openalex.org/W2140990782","https://openalex.org/W2519604440","https://openalex.org/W2773850766","https://openalex.org/W2793954077","https://openalex.org/W2997785052","https://openalex.org/W3113885473","https://openalex.org/W4406754949","https://openalex.org/W4415593466","https://openalex.org/W4415594191"],"related_works":[],"abstract_inverted_index":{"Azimuth":[0],"ambiguity":[1],"in":[2,28,160],"azimuth":[3,36],"multichannel":[4,102],"system":[5],"(AMCS)":[6],"results":[7],"from":[8],"nonuniform":[9,85,101,108,143],"sampling":[10,144],"and":[11,38,50,68,89,123,166],"degrades":[12],"the":[13,22,35,44,65,84,107,128,142,153],"synthetic":[14],"aperture":[15],"radar":[16],"(SAR)":[17],"imaging":[18,71,103],"quality.":[19,168],"In":[20,73],"addition,":[21],"uniform":[23],"pulse":[24,47,86,115],"transmission":[25,48,87,116],"pattern":[26,49,88],"adopted":[27],"most":[29],"AMCS":[30],"is":[31,61],"difficult":[32,62],"to":[33,63,82,140],"balance":[34],"resolution":[37],"range":[39],"swath":[40],"width":[41],"performance.":[42,72],"Furthermore,":[43],"design":[45],"of":[46,106,162],"reconstruction":[51,91,138,158],"algorithm":[52],"are":[53],"often":[54],"considered":[55],"as":[56],"two":[57],"independent":[58],"problems,":[59],"which":[60],"achieve":[64],"optimal":[66],"high-resolution":[67],"wide-swath":[69],"(HRWS)":[70],"this":[74],"article,":[75],"we":[76,98,126],"propose":[77],"a":[78,100,120,133],"joint":[79],"optimization":[80],"network":[81,92,155],"learn":[83],"train":[90],"parameters":[93],"simultaneously,":[94],"dubbed":[95],"PTIR-Net.":[96],"Specifically,":[97],"develope":[99],"model,":[104],"consisting":[105],"approximate":[109],"measurement":[110],"operators":[111],"with":[112],"continuously":[113],"defined":[114],"time.":[117],"To":[118],"facilitate":[119],"more":[121],"stable":[122],"generalized":[124],"network,":[125],"introduce":[127],"implicit":[129],"regularization":[130],"learned":[131],"by":[132],"model-based":[134],"deep":[135],"learning":[136],"image":[137],"scheme":[139],"process":[141],"data.":[145],"Extensive":[146],"experiments":[147],"on":[148],"Gaofen-3":[149],"dataset":[150],"show":[151],"that":[152],"proposed":[154],"achieves":[156],"better":[157],"performance":[159],"terms":[161],"both":[163],"quantitative":[164],"metrics":[165],"visual":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-12-19T00:00:00"}