{"id":"https://openalex.org/W4406388022","doi":"https://doi.org/10.1109/lgrs.2025.3529956","title":"Sea-Surface Small Target Detection Using Spiking Neural Network With Controllable False Alarm","display_name":"Sea-Surface Small Target Detection Using Spiking Neural Network With Controllable False Alarm","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406388022","doi":"https://doi.org/10.1109/lgrs.2025.3529956"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3529956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3529956","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/A5115594043","display_name":"Yang Jiao","orcid":"https://orcid.org/0009-0001-1657-6552"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Jiao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379693","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0002-5492-7886"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017808527","display_name":"Dewu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewu Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072219013","display_name":"Shuwen Xu","orcid":"https://orcid.org/0000-0002-3557-5897"},"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":"Shuwen Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shaanxi, China","National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115594043"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":11.3657,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97655844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.897599995136261,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.897599995136261,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8614000082015991,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.8374000191688538,"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":0.6358456015586853},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5264062285423279},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5143314599990845},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.48846307396888733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48784804344177246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43434882164001465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39648139476776123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358456015586853},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5264062285423279},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5143314599990845},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.48846307396888733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48784804344177246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43434882164001465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39648139476776123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3529956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3529956","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":0.7400000095367432,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G299800276","display_name":null,"funder_award_id":"62301073","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":21,"referenced_works":["https://openalex.org/W1983834069","https://openalex.org/W1999085092","https://openalex.org/W2069205140","https://openalex.org/W2194775991","https://openalex.org/W2805777666","https://openalex.org/W2892077605","https://openalex.org/W2984844508","https://openalex.org/W3045521046","https://openalex.org/W3093922882","https://openalex.org/W3123494320","https://openalex.org/W3153762659","https://openalex.org/W3169332058","https://openalex.org/W3177675172","https://openalex.org/W4285411739","https://openalex.org/W4289752563","https://openalex.org/W4294219459","https://openalex.org/W4319866562","https://openalex.org/W4323568487","https://openalex.org/W4360897447","https://openalex.org/W4367016589","https://openalex.org/W4387409844"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,52],"network":[2,41],"(CNN)-based":[3],"detectors":[4],"for":[5,158],"small":[6],"targets":[7],"on":[8,28],"the":[9,47,64,79,83,88,92,103,107,112,130],"sea":[10],"surface":[11],"have":[12],"proven":[13],"effective,":[14],"yet":[15],"their":[16],"increasingly":[17],"complex":[18],"structures":[19],"and":[20,125],"high":[21],"energy":[22],"demands":[23],"pose":[24],"challenges":[25],"to":[26,144],"deployment":[27],"resource-limited":[29],"devices.":[30],"To":[31],"address":[32],"this":[33,35],"issue,":[34],"letter":[36],"proposes":[37],"a":[38,126,141],"residual":[39],"spiking":[40,51,57],"(RSN),":[42],"which":[43],"is":[44,85,136],"developed":[45],"within":[46],"advanced":[48],"framework":[49],"of":[50,91,114,122,128,133,146,152],"networks":[53],"(SNNs).":[54],"By":[55],"using":[56],"neurons":[58],"(SNs)":[59],"as":[60],"core":[61],"computational":[62],"units,":[63],"RSN":[65,139],"can":[66],"efficiently":[67],"transmit":[68],"features":[69],"extracted":[70],"from":[71,87,102],"time-frequency":[72],"graphs":[73],"(TFGs)":[74],"through":[75],"discrete":[76],"spikes":[77],"in":[78,110,161],"backbone":[80],"network.":[81],"Meanwhile,":[82],"output":[84],"derived":[86],"membrane":[89],"voltage":[90],"SNs,":[93],"enabling":[94],"reliable":[95],"control":[96],"over":[97],"false":[98,115],"alarms.":[99],"Experimental":[100],"results":[101],"IPIX":[104],"dataset":[105],"validate":[106],"RSN\u2019s":[108],"stability":[109],"controlling":[111],"probability":[113,132],"alarms":[116],"(PFAs).":[117],"With":[118],"an":[119],"observation":[120],"time":[121],"1.024":[123],"s":[124],"PFA":[127],"0.001,":[129],"average":[131],"detection":[134],"(PD)":[135],"0.8266.":[137],"The":[138],"demonstrates":[140],"PD":[142],"comparable":[143],"that":[145],"ResNet18":[147],"while":[148],"consuming":[149],"only":[150],"70%":[151],"its":[153,156],"energy,":[154],"highlighting":[155],"potential":[157],"practical":[159],"applications":[160],"resource-constrained":[162],"environments.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}