{"id":"https://openalex.org/W4385455813","doi":"https://doi.org/10.3390/rs15153827","title":"Dual-Domain Prior-Driven Deep Network for Infrared Small-Target Detection","display_name":"Dual-Domain Prior-Driven Deep Network for Infrared Small-Target Detection","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4385455813","doi":"https://doi.org/10.3390/rs15153827"},"language":"en","primary_location":{"id":"doi:10.3390/rs15153827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153827","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3827/pdf?version=1690860274","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/15/3827/pdf?version=1690860274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070986545","display_name":"Yutong Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Hao","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331848","display_name":"Yunpeng Liu","orcid":"https://orcid.org/0000-0002-7758-6308"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunpeng Liu","raw_affiliation_strings":["Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071607803","display_name":"Jinmiao Zhao","orcid":"https://orcid.org/0009-0005-4700-7183"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmiao Zhao","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075979415","display_name":"Chuang Yu","orcid":"https://orcid.org/0000-0003-2604-4282"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Yu","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100331848"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.6512,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89903266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"15","first_page":"3827","last_page":"3827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","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/T12389","display_name":"Infrared Target Detection Methodologies","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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8088158369064331},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6418104767799377},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6043603420257568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5991752743721008},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5545415878295898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5139605402946472},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.49828410148620605},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4902108311653137},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4300512671470642},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4240036606788635},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4124458134174347},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41045093536376953},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11114305257797241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088158369064331},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6418104767799377},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6043603420257568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5991752743721008},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5545415878295898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5139605402946472},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.49828410148620605},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4902108311653137},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4300512671470642},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4240036606788635},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4124458134174347},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41045093536376953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11114305257797241},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15153827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153827","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3827/pdf?version=1690860274","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:952540ca48f4413e85d63474ef9bb02e","is_oa":true,"landing_page_url":"https://doaj.org/article/952540ca48f4413e85d63474ef9bb02e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 15, p 3827 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/15/3827/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15153827","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":"Remote Sensing; Volume 15; Issue 15; Pages: 3827","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15153827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153827","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3827/pdf?version=1690860274","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385455813.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1596451335","https://openalex.org/W1901129140","https://openalex.org/W1978993121","https://openalex.org/W1992873714","https://openalex.org/W2004580922","https://openalex.org/W2041560658","https://openalex.org/W2146502635","https://openalex.org/W2158479002","https://openalex.org/W2194775991","https://openalex.org/W2316274828","https://openalex.org/W2341998679","https://openalex.org/W2366510821","https://openalex.org/W2393038612","https://openalex.org/W2604768956","https://openalex.org/W2734434825","https://openalex.org/W2780449407","https://openalex.org/W2884585870","https://openalex.org/W2921359348","https://openalex.org/W2947066337","https://openalex.org/W2973776890","https://openalex.org/W2981137379","https://openalex.org/W3009662677","https://openalex.org/W3039443125","https://openalex.org/W3111879502","https://openalex.org/W3118249006","https://openalex.org/W3118934234","https://openalex.org/W3124866053","https://openalex.org/W3163993681","https://openalex.org/W3171950886","https://openalex.org/W3183847531","https://openalex.org/W3201848421","https://openalex.org/W3211012720","https://openalex.org/W4224134028","https://openalex.org/W4320005476","https://openalex.org/W4366990330","https://openalex.org/W6681435938","https://openalex.org/W6790174033","https://openalex.org/W6849499840","https://openalex.org/W7009185818"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2001271057","https://openalex.org/W2522537526","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,59],"recent":[1],"years,":[2],"data-driven":[3,82],"deep":[4,42,68],"networks":[5,22,44],"have":[6],"demonstrated":[7],"remarkable":[8],"detection":[9],"performance":[10,25,168,177],"for":[11,71],"infrared":[12,38,72,103,143],"small":[13,39,104,144],"targets.":[14],"However,":[15],"continuously":[16],"increasing":[17],"the":[18,30,52,78,88,93,99,111,115,126,138,147,156,189],"depth":[19],"of":[20,32,55,80,102,114,142,178],"neural":[21,43],"to":[23,37,50,106,131],"enhance":[24],"has":[26,45,175],"proven":[27],"impractical.":[28],"Consequently,":[29],"integration":[31],"prior":[33,89,139,152],"physical":[34,57,90],"knowledge":[35],"related":[36],"targets":[40,105,145],"within":[41],"become":[46],"crucial.":[47],"It":[48,174],"aims":[49],"improve":[51],"models\u2019":[53],"awareness":[54],"inherent":[56],"characteristics.":[58],"this":[60],"paper,":[61],"we":[62,97],"propose":[63],"a":[64,118,176],"novel":[65],"dual-domain":[66],"prior-driven":[67],"network":[69],"(DPDNet)":[70],"small-target":[73],"detection.":[74],"Our":[75],"method":[76,165],"integrates":[77],"advantages":[79],"both":[81],"and":[83,150,183],"model-driven":[84],"methods":[85],"by":[86],"leveraging":[87],"characteristics":[91,101,141,154],"as":[92],"driving":[94],"force.":[95],"Initially,":[96],"utilize":[98],"sparse":[100,140],"boost":[107],"their":[108,151],"saliency":[109],"at":[110],"input":[112],"level":[113],"network.":[116],"Subsequently,":[117],"high-frequency":[119,153],"feature":[120,133],"extraction":[121],"module,":[122],"seamlessly":[123],"integrated":[124],"into":[125],"network\u2019s":[127],"backbone,":[128],"is":[129],"employed":[130],"excavate":[132],"information.":[134],"DPDNet":[135],"simultaneously":[136],"emphasizes":[137],"in":[146,155],"spatial":[148],"domain":[149],"frequency":[157],"domain.":[158],"Compared":[159],"with":[160],"previous":[161],"CNN-based":[162],"methods,":[163],"our":[164],"achieves":[166],"superior":[167],"while":[169],"utilizing":[170],"fewer":[171],"convolutional":[172],"layers.":[173],"78.64%":[179],"IoU,":[180],"95.56":[181],"Pd,":[182],"2.15":[184],"\u00d7":[185],"10\u22126":[186],"Fa":[187],"on":[188],"SIRST":[190],"dataset.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2023-08-02T00:00:00"}