{"id":"https://openalex.org/W4312957585","doi":"https://doi.org/10.1109/igarss46834.2022.9883495","title":"Wideband Interference Suppression for SAR Based on Synchroextracting Transform","display_name":"Wideband Interference Suppression for SAR Based on Synchroextracting Transform","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312957585","doi":"https://doi.org/10.1109/igarss46834.2022.9883495"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883495","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/A5041781181","display_name":"Wenchang Han","orcid":"https://orcid.org/0000-0003-3094-8663"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenchang Han","raw_affiliation_strings":["Xidian University,Ministry of Education, Key Laboratory of Electronic Information Countermeasure and Simulation Technology,Xi&#x0027;an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,Ministry of Education, Key Laboratory of Electronic Information Countermeasure and Simulation Technology,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080509511","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0002-1514-7393"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhou","raw_affiliation_strings":["Xidian University,Ministry of Education, Key Laboratory of Electronic Information Countermeasure and Simulation Technology,Xi&#x0027;an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,Ministry of Education, Key Laboratory of Electronic Information Countermeasure and Simulation Technology,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041781181"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47256637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7460","last_page":"7463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.713828444480896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700729250907898},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6383911371231079},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6046143770217896},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6037317514419556},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5594435334205627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4939756989479065},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4853998124599457},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4728553295135498},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.43105411529541016},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4185483753681183},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3676704168319702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3624148368835449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34792518615722656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2999345660209656},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.2968065142631531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24535790085792542},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2186659574508667},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18513768911361694},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1552676260471344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09247568249702454},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.08059287071228027}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.713828444480896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700729250907898},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6383911371231079},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6046143770217896},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6037317514419556},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5594435334205627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4939756989479065},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4853998124599457},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4728553295135498},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.43105411529541016},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4185483753681183},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3676704168319702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3624148368835449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34792518615722656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2999345660209656},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2968065142631531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24535790085792542},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2186659574508667},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18513768911361694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1552676260471344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09247568249702454},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.08059287071228027},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883495","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1866870449","display_name":null,"funder_award_id":"XJS200215,JB210202,XJS200204,XJS210210","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1968470728","display_name":null,"funder_award_id":"61971332,62001350,61801347,61801344,61631019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4530450353","display_name":null,"funder_award_id":"2020JQ-312","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G4987398066","display_name":null,"funder_award_id":"20180181003","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G6602940597","display_name":null,"funder_award_id":"2020M673346,2017M613076,2016M602775","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"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"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1936714692","https://openalex.org/W1980721798","https://openalex.org/W2045995726","https://openalex.org/W2090218979","https://openalex.org/W2138146421","https://openalex.org/W2275779605","https://openalex.org/W2617613820","https://openalex.org/W2754962589","https://openalex.org/W2755667678","https://openalex.org/W2969382431","https://openalex.org/W2995720069","https://openalex.org/W3190111998"],"related_works":["https://openalex.org/W3107043386","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2908190742","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W1596076796"],"abstract_inverted_index":{"In":[0],"the":[1,5,9,19,28,57,62,68,73,83,88,95,101,107,114,121,127,130],"complex":[2],"electromagnetic":[3],"environment,":[4],"imaging":[6],"quality":[7],"of":[8,129],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"will":[14],"be":[15],"severely":[16],"degraded":[17],"by":[18,61,76],"wideband":[20],"interference":[21],"(WBI).":[22],"It":[23],"is":[24,54,70,85,92,98,103,111],"difficult":[25],"to":[26,31],"mitigate":[27],"WBI":[29,69,84,102],"due":[30],"its":[32],"wide":[33],"frequency":[34],"band.":[35],"To":[36],"address":[37],"this":[38],"problem,":[39],"we":[40],"propose":[41],"a":[42,50,79],"method":[43],"based":[44,105],"on":[45,106],"synchroextracting":[46,89],"transform":[47,65],"(SET).":[48],"First,":[49],"WBI-corrupted":[51,115,123],"SAR":[52,116,124],"echo":[53],"transformed":[55],"into":[56],"time-frequency":[58],"(TF)":[59],"domain":[60,75],"short-time":[63],"Fourier":[64],"(STFT).":[66],"Then":[67],"detected":[71],"in":[72],"TF":[74,80],"thresholding":[77],"and":[78,94,110],"mask":[81],"for":[82],"generated.":[86],"Next,":[87],"operator":[90],"(SEO)":[91],"calculated":[93],"SET":[96,108],"result":[97,109],"obtained.":[99],"Finally,":[100],"reconstructed":[104],"subtracted":[112],"from":[113],"echo.":[117],"Experimental":[118],"results":[119],"with":[120],"measured":[122],"data":[125],"demonstrate":[126],"effectiveness":[128],"proposed":[131],"method.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
