{"id":"https://openalex.org/W4312744727","doi":"https://doi.org/10.1109/igarss46834.2022.9883910","title":"An Efficient HRWS Sar Reconstruction Method Based on Frequency Domain Back Projection","display_name":"An Efficient HRWS Sar Reconstruction Method Based on Frequency Domain Back Projection","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312744727","doi":"https://doi.org/10.1109/igarss46834.2022.9883910"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883910","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5103094604","display_name":"Liming Zhou","orcid":"https://orcid.org/0000-0002-2941-3357"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liming Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385993","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0003-2343-3055"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073596506","display_name":"Yuetonghui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuetonghui Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103094604"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.5548,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6183565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":1.0,"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":1.0,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9976999759674072,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7707504034042358},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6808686256408691},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.6678169369697571},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6160844564437866},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5564838647842407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5144107937812805},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4996473789215088},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47562816739082336},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4729953706264496},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4565323293209076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4448000490665436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4406391978263855},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4317269027233124},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4107936918735504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3969068229198456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14143699407577515},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13343074917793274},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06917577981948853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7707504034042358},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6808686256408691},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.6678169369697571},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6160844564437866},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5564838647842407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5144107937812805},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4996473789215088},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47562816739082336},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4729953706264496},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4565323293209076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448000490665436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4406391978263855},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4317269027233124},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4107936918735504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3969068229198456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14143699407577515},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13343074917793274},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06917577981948853},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883910","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2024796374","https://openalex.org/W2044382822","https://openalex.org/W2140990782","https://openalex.org/W2145348268","https://openalex.org/W2991289687","https://openalex.org/W3016294092","https://openalex.org/W3191757988","https://openalex.org/W3214953536","https://openalex.org/W6775838686"],"related_works":["https://openalex.org/W2317349760","https://openalex.org/W2357366532","https://openalex.org/W2574052219","https://openalex.org/W2112932559","https://openalex.org/W4242797640","https://openalex.org/W2023996066","https://openalex.org/W2022708915","https://openalex.org/W4312744727","https://openalex.org/W2167912206","https://openalex.org/W1985541999"],"abstract_inverted_index":{"Azimuth":[0],"unambiguous":[1],"reconstruction":[2,17,22,60,132],"is":[3,80],"a":[4,58,130],"significant":[5],"and":[6,33,37,97,128],"challenging":[7],"step":[8],"for":[9,67,86],"HRWS":[10,68],"SAR":[11,32,69],"imaging.":[12,70,89],"Compared":[13],"with":[14],"conventional":[15],"frequency-based":[16],"algorithms,":[18],"the":[19,49,72,75,84,92,95,98,106,113,121,125],"image":[20],"domain":[21,77],"(IDR)":[23],"method":[24,61,79,123],"can":[25],"be":[26],"well":[27],"applied":[28],"to":[29,82],"curved":[30],"trajectory":[31],"compensate":[34],"channel":[35],"amplitude":[36],"phase":[38,101],"errors":[39],"adaptively":[40],"but":[41],"suffers":[42],"from":[43],"huge":[44],"computational":[45,114,126],"complexity.":[46],"To":[47],"improve":[48,83],"efficiency":[50,85,127],"of":[51,94],"reconstruction,":[52],"in":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"sub-image":[59,88,107],"based":[62],"on":[63],"frequency-domain":[64],"back-projection":[65,78,108],"(FDBP-SIR)":[66],"In":[71],"proposed":[73,122],"method,":[74],"frequency":[76],"used":[81],"each":[87],"Moreover,":[90],"as":[91,134],"calculation":[93],"index":[96],"partial":[99],"com-pensation":[100],"are":[102],"performed":[103],"once":[104],"before":[105],"process,":[109],"it":[110],"further":[111],"improves":[112,124],"efficiency.":[115],"The":[116],"experimental":[117],"results":[118],"show":[119],"that":[120],"achieves":[129],"high-quality":[131],"same":[133],"IDR.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}