{"id":"https://openalex.org/W3173723086","doi":"https://doi.org/10.3390/s21134536","title":"CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images","display_name":"CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3173723086","doi":"https://doi.org/10.3390/s21134536","mag":"3173723086","pmid":"https://pubmed.ncbi.nlm.nih.gov/34283094"},"language":"en","primary_location":{"id":"doi:10.3390/s21134536","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134536","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4536/pdf?version=1625210886","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/1424-8220/21/13/4536/pdf?version=1625210886","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066288675","display_name":"Bo Zang","orcid":"https://orcid.org/0000-0001-5056-6596"},"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":"Bo Zang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0001-5056-6596","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090294640","display_name":"Linlin Ding","orcid":"https://orcid.org/0000-0001-7667-1298"},"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":"Linlin Ding","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0001-7667-1298","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016333596","display_name":"Zhenpeng Feng","orcid":"https://orcid.org/0000-0002-0383-4794"},"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":"Zhenpeng Feng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0002-0383-4794","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086558368","display_name":"Mingzhe Zhu","orcid":"https://orcid.org/0000-0002-7962-3344"},"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":"Mingzhe Zhu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0002-7962-3344","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036558091","display_name":"Tao Lei","orcid":"https://orcid.org/0000-0002-2104-9298"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lei","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi\u2019an 710021, China","School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi\u2019an 710021, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China","institution_ids":["https://openalex.org/I51622183"]}]},{"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":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033666079","display_name":"Xianda Zhou","orcid":"https://orcid.org/0009-0002-4091-5312"},"institutions":[{"id":"https://openalex.org/I4210166468","display_name":"Beijing Aerospace Flight Control Center","ror":"https://ror.org/007a14354","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210166468"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianda Zhou","raw_affiliation_strings":["Beijing Aerospace Automatic Control Institute, Beijing 100070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Automatic Control Institute, Beijing 100070, China","institution_ids":["https://openalex.org/I4210166468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016333596"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":28.4666,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.99267764,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"13","first_page":"4536","last_page":"4536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9952999949455261,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8206319212913513},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7391759157180786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7186774611473083},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6279088258743286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5924333333969116},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5142040252685547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206319212913513},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7391759157180786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7186774611473083},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6279088258743286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5924333333969116},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5142040252685547}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21134536","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134536","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4536/pdf?version=1625210886","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:34283094","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34283094","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:6e9990eedb85414dbeb2671affc23900","is_oa":true,"landing_page_url":"https://doaj.org/article/6e9990eedb85414dbeb2671affc23900","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 21, Iss 13, p 4536 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/13/4536/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21134536","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; Volume 21; Issue 13; Pages: 4536","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8272214","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8272214","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/s21134536","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134536","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4536/pdf?version=1625210886","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":[],"awards":[{"id":"https://openalex.org/G1375937428","display_name":null,"funder_award_id":"JB210206","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"},{"id":"https://openalex.org/G2562613550","display_name":null,"funder_award_id":"JC2111","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"},{"id":"https://openalex.org/G3992838749","display_name":null,"funder_award_id":"JC2111","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5177404496","display_name":null,"funder_award_id":"JB210206","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3173723086.pdf","grobid_xml":"https://content.openalex.org/works/W3173723086.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W2102605133","https://openalex.org/W2123458925","https://openalex.org/W2295107390","https://openalex.org/W2437887222","https://openalex.org/W2616247523","https://openalex.org/W2657631929","https://openalex.org/W2808362118","https://openalex.org/W2883279772","https://openalex.org/W2889621419","https://openalex.org/W2895134106","https://openalex.org/W2913142161","https://openalex.org/W2914218261","https://openalex.org/W2955400389","https://openalex.org/W2957366459","https://openalex.org/W2972986629","https://openalex.org/W3000716014","https://openalex.org/W3010219363","https://openalex.org/W3015363211","https://openalex.org/W3017320838","https://openalex.org/W3047237378","https://openalex.org/W3094792029","https://openalex.org/W3107993365","https://openalex.org/W3108438502","https://openalex.org/W3121562452","https://openalex.org/W3159164673","https://openalex.org/W6776042590"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W3133861977","https://openalex.org/W4321369474","https://openalex.org/W4360585206"],"abstract_inverted_index":{"Target":[0],"recognition":[1,48,155,224],"is":[2,18,84,106,121,134],"one":[3],"of":[4,24,64,82,115,184,189,194,222],"the":[5,79,101,113,185,195,230],"most":[6],"challenging":[7],"tasks":[8],"in":[9,137,198,209],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"image":[14,176],"processing":[15],"since":[16],"it":[17,105],"highly":[19],"affected":[20],"by":[21],"a":[22,88,93,122,164,181,190,218],"series":[23],"pre-processing":[25,75],"techniques":[26],"which":[27],"usually":[28,135,151],"require":[29],"sophisticated":[30],"manipulation":[31],"for":[32,108,170,213],"different":[33],"data":[34,65],"and":[35,67,192,206],"consume":[36],"huge":[37],"calculation":[38],"resources.":[39],"To":[40],"alleviate":[41],"this":[42,71,160],"limitation,":[43],"numerous":[44],"deep-learning":[45],"based":[46],"target":[47,177],"methods":[49],"are":[50],"proposed,":[51],"particularly":[52,168],"combined":[53],"with":[54,140],"convolutional":[55],"neural":[56,129],"network":[57,149],"(CNN)":[58],"due":[59],"to":[60,110,127],"its":[61],"strong":[62],"capability":[63],"abstraction":[66],"end-to-end":[68],"structure.":[69],"In":[70,159],"case,":[72],"although":[73],"complex":[74],"can":[76,203],"be":[77],"avoided,":[78],"inner":[80,131],"mechanism":[81],"CNN":[83,98],"still":[85],"unclear.":[86],"Such":[87],"\"black":[89],"box\"":[90],"only":[91,141],"tells":[92],"result":[94],"but":[95,147],"not":[96],"what":[97],"learned":[99],"from":[100],"input":[102,210],"data,":[103],"thus":[104],"difficult":[107],"researchers":[109],"further":[111],"analyze":[112],"causes":[114],"errors.":[116],"Layer-wise":[117],"relevance":[118],"propagation":[119],"(LRP)":[120],"prevalent":[123],"pixel-level":[124],"rearrangement":[125],"algorithm":[126,167],"visualize":[128],"networks'":[130],"mechanism.":[132,225],"LRP":[133,166],"applied":[136],"sparse":[138],"auto-encoder":[139],"fully-connected":[142],"layers":[143],"rather":[144],"than":[145,157],"CNN,":[146],"such":[148],"structure":[150],"obtains":[152],"much":[153],"lower":[154],"accuracy":[156],"CNN.":[158],"paper,":[161],"we":[162],"propose":[163],"novel":[165],"designed":[169],"understanding":[171,221],"CNN's":[172,214,223],"performance":[173],"on":[174],"SAR":[175,211],"recognition.":[178],"We":[179],"provide":[180,204],"concise":[182],"form":[183],"correlation":[186],"between":[187],"output":[188],"layer":[191,197],"weights":[193],"next":[196],"CNNs.":[199],"The":[200],"proposed":[201,231],"method":[202,232],"positive":[205],"negative":[207],"contributions":[208],"images":[212],"classification,":[215],"viewed":[216],"as":[217],"clear":[219],"visual":[220],"Numerous":[226],"experimental":[227],"results":[228],"demonstrate":[229],"outperforms":[233],"common":[234],"LRP.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
