{"id":"https://openalex.org/W4391953479","doi":"https://doi.org/10.1109/lgrs.2024.3367759","title":"PFDN: A Polarimetric Feature-Guided Deep Network for Dual-Polarized SAR Ship Classification","display_name":"PFDN: A Polarimetric Feature-Guided Deep Network for Dual-Polarized SAR Ship Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391953479","doi":"https://doi.org/10.1109/lgrs.2024.3367759"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3367759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3367759","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":"https://openalex.org/A5063511278","display_name":"Nishang Xie","orcid":"https://orcid.org/0009-0004-9047-8653"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nishang Xie","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375832","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-7192-5153"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020282170","display_name":"Feiming Wei","orcid":"https://orcid.org/0009-0008-5032-5483"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiming Wei","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445293","display_name":"Wenxian Yu","orcid":"https://orcid.org/0000-0002-8741-776X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxian Yu","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Sensing Science and Engineering, Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063511278"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":10.3966,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97380656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"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":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.5873616933822632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5643925070762634},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.553987443447113},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5497872233390808},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5439746975898743},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5152397751808167},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5136598944664001},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49604806303977966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4635199010372162},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2597697079181671},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15595343708992004},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.07734078168869019},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.061309874057769775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873616933822632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5643925070762634},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.553987443447113},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5497872233390808},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5439746975898743},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5152397751808167},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5136598944664001},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49604806303977966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4635199010372162},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2597697079181671},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15595343708992004},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.07734078168869019},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.061309874057769775},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3367759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3367759","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":[{"id":"https://openalex.org/G5607986989","display_name":null,"funder_award_id":"62231010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5747709536","display_name":null,"funder_award_id":"62201343","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2751615339","https://openalex.org/W2775716424","https://openalex.org/W2901087126","https://openalex.org/W2908510526","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W3001606623","https://openalex.org/W3148432746","https://openalex.org/W3169512507","https://openalex.org/W3205156060","https://openalex.org/W4285235155","https://openalex.org/W4285300322","https://openalex.org/W4289752563","https://openalex.org/W4296461700","https://openalex.org/W4312349930","https://openalex.org/W4312443924","https://openalex.org/W4312847199","https://openalex.org/W4313026462","https://openalex.org/W4352976976","https://openalex.org/W4366425245","https://openalex.org/W4387659197","https://openalex.org/W6637373629","https://openalex.org/W6757817989","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2035593284","https://openalex.org/W2026860918","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W2161058488","https://openalex.org/W2324949438","https://openalex.org/W173514170","https://openalex.org/W2389173272","https://openalex.org/W2939295242","https://openalex.org/W2469797871"],"abstract_inverted_index":{"As":[0],"one":[1],"important":[2],"application":[3],"of":[4,21,54],"synthetic":[5],"aperture":[6],"radar":[7],"(SAR),":[8],"ship":[9,22],"classification":[10,23,99],"attracts":[11],"researchers\u2019":[12],"attention":[13],"in":[14,24,126,131],"recent":[15],"years.":[16],"To":[17],"improve":[18],"the":[19,59,69,78,86,115,135],"accuracy":[20],"dual-polarized":[25,55],"SAR":[26],"images,":[27],"we":[28],"here":[29],"put":[30],"forward":[31],"a":[32,40],"novel":[33],"polarimetric":[34,42],"feature-guided":[35],"deep":[36],"network":[37],"PFDN.":[38],"Detailedly,":[39],"new":[41],"feature":[43],"SPF":[44,64],"(Smoothed-Polarimetric":[45],"Information-Fusion)":[46],"is":[47,62,110],"first":[48],"built":[49],"through":[50],"fusing":[51],"both":[52],"amplitudes":[53],"channels.":[56],"Since":[57],"only":[58],"amplitude":[60],"information":[61],"used,":[63],"cannot":[65],"be":[66],"affected":[67],"by":[68],"phase":[70],"noise.":[71],"Then,":[72],"another":[73],"two":[74],"key":[75],"components,":[76],"i.e.,":[77],"Multi-scale":[79],"Feature":[80,89],"Fusion":[81,90],"Attention":[82],"Module":[83],"(MFFAM)":[84],"and":[85,129],"Dynamic":[87],"Gating":[88],"Mechanism":[91],"(DGFFM),":[92],"are":[93],"further":[94],"proposed":[95],"to":[96],"extract":[97],"deeper":[98],"features.":[100],"Finally,":[101],"via":[102],"combing":[103],"these":[104],"three":[105],"different":[106],"modules":[107],"together,":[108],"PFDN":[109,120],"constructed.":[111],"Experiments":[112],"tested":[113],"on":[114],"dataset":[116],"OpenSARShip2.0":[117],"show":[118],"that,":[119],"can":[121],"achieve":[122],"higher":[123],"accuracies":[124],"(87.13%":[125],"three-class":[127],"task":[128],"65.97%":[130],"six-class":[132],"task)":[133],"than":[134],"other":[136],"state-of-the-art":[137],"(SOTA)":[138],"methods.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}