{"id":"https://openalex.org/W2916069703","doi":"https://doi.org/10.3390/s19040871","title":"Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification","display_name":"Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification","publication_year":2019,"publication_date":"2019-02-19","ids":{"openalex":"https://openalex.org/W2916069703","doi":"https://doi.org/10.3390/s19040871","mag":"2916069703","pmid":"https://pubmed.ncbi.nlm.nih.gov/30791500"},"language":"en","primary_location":{"id":"doi:10.3390/s19040871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040871","pdf_url":"https://www.mdpi.com/1424-8220/19/4/871/pdf?version=1550980200","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/4/871/pdf?version=1550980200","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100749866","display_name":"Chu He","orcid":"https://orcid.org/0000-0003-3662-5769"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chu He","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China","Electronic and Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0003-3662-5769","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China","institution_ids":[]},{"raw_affiliation_string":"Electronic and Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008632555","display_name":"Dehui Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehui Xiong","raw_affiliation_strings":["Electronic and Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101470858","display_name":"Qingyi Zhang","orcid":"https://orcid.org/0000-0001-8853-4039"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Zhang","raw_affiliation_strings":["Electronic and Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631497","display_name":"Mingsheng Liao","orcid":"https://orcid.org/0000-0001-9556-4287"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Liao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China","State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100749866"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":14.3908,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9816421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"4","first_page":"871","last_page":"871"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994999766349792,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8696929216384888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7655190229415894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6695963144302368},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6681030988693237},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6555274724960327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6029411554336548},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5012884140014648},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4885290861129761},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4733041822910309},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46417924761772156},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.46381375193595886},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.45983192324638367},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4320186972618103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3269663453102112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11460402607917786},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07140564918518066}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8696929216384888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655190229415894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695963144302368},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6681030988693237},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6555274724960327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6029411554336548},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5012884140014648},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4885290861129761},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4733041822910309},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46417924761772156},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.46381375193595886},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.45983192324638367},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4320186972618103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3269663453102112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11460402607917786},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07140564918518066},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/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":6,"locations":[{"id":"doi:10.3390/s19040871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040871","pdf_url":"https://www.mdpi.com/1424-8220/19/4/871/pdf?version=1550980200","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30791500","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30791500","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0b7e0f9fe37b4eb9bf0dcb3291fdf7b9","is_oa":true,"landing_page_url":"https://doaj.org/article/0b7e0f9fe37b4eb9bf0dcb3291fdf7b9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 4, p 871 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5431264","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6412347","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/4/871/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19040871","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6412347","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6412347","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19040871","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040871","pdf_url":"https://www.mdpi.com/1424-8220/19/4/871/pdf?version=1550980200","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1562484214","display_name":null,"funder_award_id":"2016YFC0803000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1821746630","display_name":null,"funder_award_id":"41371342","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1828926570","display_name":null,"funder_award_id":"No.41371342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2572706730","display_name":null,"funder_award_id":"No. 61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3200338153","display_name":null,"funder_award_id":"No.41371342,No.61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G324782245","display_name":null,"funder_award_id":"No. 2016YFC0803000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3657285598","display_name":null,"funder_award_id":"61331016","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4324613428","display_name":null,"funder_award_id":"2016YFC0803000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5158444115","display_name":null,"funder_award_id":"No. 41371342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5838728510","display_name":null,"funder_award_id":"2018CFA006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6187398417","display_name":"\u9ad8\u5206\u8fa8\u7387\u6781\u5316SAR\u56fe\u50cf\u7279\u5f81\u63d0\u53d6\u548c\u57ce\u533a\u5730\u7269\u76ee\u6807\u5206\u7c7b\u7814\u7a76","funder_award_id":"41371342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7305429600","display_name":null,"funder_award_id":"2018CFA006","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8179088203","display_name":null,"funder_award_id":"No.2016YFC0803000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8376165696","display_name":"\u9ad8\u5206\u8fa8\u7387SAR\u56fe\u50cf\u57ce\u5e02\u76ee\u6807\u8ba4\u77e5\u89e3\u8bd1\u4e0e\u52a8\u6001\u76d1\u6d4b\u5e94\u7528\u7814\u7a76","funder_award_id":"61331016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8558471830","display_name":null,"funder_award_id":"No.61331016","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916069703.pdf","grobid_xml":"https://content.openalex.org/works/W2916069703.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W322998299","https://openalex.org/W1571809481","https://openalex.org/W1594938440","https://openalex.org/W1696131234","https://openalex.org/W2050591193","https://openalex.org/W2079299474","https://openalex.org/W2097117768","https://openalex.org/W2112256737","https://openalex.org/W2124648367","https://openalex.org/W2130615595","https://openalex.org/W2135279741","https://openalex.org/W2138287042","https://openalex.org/W2143668817","https://openalex.org/W2146502635","https://openalex.org/W2148791593","https://openalex.org/W2150486153","https://openalex.org/W2155622525","https://openalex.org/W2163605009","https://openalex.org/W2166960586","https://openalex.org/W2356798126","https://openalex.org/W2410591237","https://openalex.org/W2513477453","https://openalex.org/W2544339223","https://openalex.org/W2585635281","https://openalex.org/W2618530766","https://openalex.org/W2745153189","https://openalex.org/W2752788177","https://openalex.org/W2760740463","https://openalex.org/W2786355301","https://openalex.org/W2794398988","https://openalex.org/W2796067775","https://openalex.org/W2890212406","https://openalex.org/W2901147009","https://openalex.org/W2964186374","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6613206883","https://openalex.org/W6663128386","https://openalex.org/W6681435938","https://openalex.org/W6687483927","https://openalex.org/W6725681810","https://openalex.org/W6735913928","https://openalex.org/W6744719597"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W4322709305","https://openalex.org/W3133123268","https://openalex.org/W2808862658","https://openalex.org/W4391899165","https://openalex.org/W3010213975"],"abstract_inverted_index":{"Thanks":[0],"to":[1,36,74,88,107,128,181,198],"the":[2,22,37,46,61,69,92,98,102,105,109,113,117,126,151,165,168,182,199,207,213,216],"availability":[3],"of":[4,18,24,39,63,120,138,145,190,193,201,215],"large-scale":[5],"data,":[6,42],"deep":[7],"Convolutional":[8,153],"Neural":[9],"Networks":[10],"(CNNs)":[11],"have":[12],"witnessed":[13],"success":[14],"in":[15,48,91,164],"various":[16],"applications":[17],"computer":[19],"vision.":[20],"However,":[21],"performance":[23],"CNNs":[25],"on":[26,206],"Synthetic":[27],"Aperture":[28],"Radar":[29],"(SAR)":[30],"image":[31,65],"classification":[32,66],"is":[33],"unsatisfactory":[34],"due":[35],"lack":[38],"well-labeled":[40],"SAR":[41,52,64,78,86,114,121],"as":[43,45,178],"well":[44],"differences":[47],"imaging":[49],"mechanisms":[50],"between":[51],"images":[53,87,122],"and":[54,156,167,187,195],"optical":[55],"images.":[56],"Therefore,":[57],"this":[58],"paper":[59],"addresses":[60],"problem":[62],"by":[67],"employing":[68],"Generative":[70],"Adversarial":[71],"Network":[72],"(GAN)":[73],"produce":[75],"more":[76,133],"labeled":[77],"data.":[79],"We":[80],"propose":[81],"special":[82],"GANs":[83,141],"for":[84],"generating":[85],"be":[89],"used":[90],"training":[93],"process.":[94],"First,":[95],"we":[96,147,171],"incorporate":[97],"quadratic":[99],"operation":[100],"into":[101,125],"GAN,":[103],"extending":[104],"convolution":[106],"make":[108,129],"discriminator":[110,180],"better":[111],"represent":[112],"data;":[115],"second,":[116],"statistical":[118],"characteristics":[119],"are":[123,142],"integrated":[124],"GAN":[127,154,158],"its":[130],"value":[131],"function":[132],"reasonable;":[134],"finally,":[135],"two":[136],"types":[137],"parallel":[139,183],"connected":[140],"designed,":[143],"one":[144],"which":[146,170],"call":[148,172],"PWGAN,":[149],"combining":[150],"Deep":[152],"(DCGAN)":[155],"Wasserstein":[157],"with":[159],"Gradient":[160],"Penalty":[161],"(WGAN-GP)":[162],"together":[163],"structure,":[166],"other,":[169],"CNN-PGAN,":[173],"applying":[174],"a":[175,179,191],"pre-trained":[176],"CNN":[177],"GAN.":[184],"Both":[185],"PWGAN":[186],"CNN-PGAN":[188],"consist":[189],"number":[192,200],"discriminators":[194],"generators":[196],"according":[197],"target":[202],"categories.":[203],"Experimental":[204],"results":[205],"TerraSAR-X":[208],"single":[209],"polarization":[210],"dataset":[211],"demonstrate":[212],"effectiveness":[214],"proposed":[217],"method.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
