{"id":"https://openalex.org/W3133491878","doi":"https://doi.org/10.1109/lgrs.2021.3054747","title":"Integrating the Reconstructed Scattering Center Feature Maps With Deep CNN Feature Maps for Automatic SAR Target Recognition","display_name":"Integrating the Reconstructed Scattering Center Feature Maps With Deep CNN Feature Maps for Automatic SAR Target Recognition","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3133491878","doi":"https://doi.org/10.1109/lgrs.2021.3054747","mag":"3133491878"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3054747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3054747","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/A5100371392","display_name":"Jinsong Zhang","orcid":"https://orcid.org/0000-0002-1004-7721"},"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":"Jinsong Zhang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1004-7721","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021408538","display_name":"Mengdao Xing","orcid":"https://orcid.org/0000-0002-4084-0915"},"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":"Mengdao Xing","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4084-0915","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076178410","display_name":"Guang\u2010Cai Sun","orcid":"https://orcid.org/0000-0002-6482-0863"},"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":"Guang-Cai Sun","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6482-0863","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102927094","display_name":"Zheng Bao","orcid":"https://orcid.org/0000-0002-7348-7644"},"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":"Zheng Bao","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Collaborative Innovation Center of information Sensing and Understanding, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.071,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98974231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","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":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":0.9994000196456909,"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":0.9937000274658203,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.761256217956543},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7506029009819031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176162004470825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7154819965362549},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6927420496940613},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6120581030845642},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5335232615470886},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49540436267852783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.393500417470932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09931245446205139}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.761256217956543},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7506029009819031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176162004470825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7154819965362549},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6927420496940613},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6120581030845642},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5335232615470886},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49540436267852783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.393500417470932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09931245446205139},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3054747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3054747","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":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1213887363","display_name":null,"funder_award_id":"U19B2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1725003993","display_name":null,"funder_award_id":"61621005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5505923119","display_name":null,"funder_award_id":"61825105","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"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},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2039156452","https://openalex.org/W2079299474","https://openalex.org/W2149918662","https://openalex.org/W2410591237","https://openalex.org/W2508279505","https://openalex.org/W2520537062","https://openalex.org/W2753007557","https://openalex.org/W2765957155","https://openalex.org/W2790279720","https://openalex.org/W2809742058","https://openalex.org/W2886347302","https://openalex.org/W2890289853","https://openalex.org/W2922891743","https://openalex.org/W2997725031","https://openalex.org/W3038113894"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2778653980"],"abstract_inverted_index":{"Automatic":[0],"target":[1],"recognition":[2,20,124],"has":[3],"been":[4],"one":[5],"of":[6,26,87,95,111],"the":[7,75,85,92,102,108,134],"hottest":[8],"research":[9],"in":[10,45,114],"synthetic":[11],"aperture":[12],"radar":[13],"(SAR)":[14],"data":[15,131],"processing.":[16],"Noticing":[17],"that":[18,133],"popular":[19],"methods":[21,145],"cannot":[22],"utilize":[23],"multiple":[24],"features":[25],"SAR":[27,130],"complex":[28],"data,":[29],"a":[30,122],"method":[31,49,136],"fused":[32,83],"scattering":[33,55,76],"center":[34,56,77],"feature":[35,42,62,67,78,81,88,97,115,147],"and":[36,58,65,69,79,118,146],"deep":[37],"convolutional":[38],"neural":[39],"network":[40,117],"(CNN)":[41],"is":[43,100],"proposed":[44,103,135],"this":[46,73],"letter.":[47],"This":[48],"contains":[50],"three":[51],"key":[52],"parts,":[53],"namely,":[54],"extraction":[57,63,116],"reconstruction":[59],"block,":[60,64],"CNN":[61,80],"final":[66],"fusion":[68,148],"classification":[70],"block.":[71],"In":[72],"process,":[74],"are":[82],"at":[84],"level":[86],"maps,":[89],"which":[90,120],"retain":[91],"space":[93],"information":[94],"2-D":[96],"maps.":[98],"What":[99],"more,":[101],"half":[104],"end-to-end":[105],"strategy":[106],"realizes":[107],"automatic":[109],"update":[110],"weighting":[112],"parameters":[113],"subnetwork,":[119],"promotes":[121],"better":[123,139],"efficiency.":[125],"Experimental":[126],"results":[127],"on":[128],"measured":[129],"show":[132],"can":[137],"achieve":[138],"accuracy":[140],"than":[141],"other":[142],"single":[143],"feature-based":[144],"methods.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
