{"id":"https://openalex.org/W3205400701","doi":"https://doi.org/10.1186/s13634-021-00805-8","title":"Saliency area detection algorithm of electronic information and image processing based on multi-sensor data fusion","display_name":"Saliency area detection algorithm of electronic information and image processing based on multi-sensor data fusion","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W3205400701","doi":"https://doi.org/10.1186/s13634-021-00805-8","mag":"3205400701"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-021-00805-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00805-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00805-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00805-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100390687","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0001-9688-8056"},"institutions":[{"id":"https://openalex.org/I4210115513","display_name":"Xi\u2019an University","ror":"https://ror.org/01zzmf129","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115513"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["School of Automation Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, Shaanxi, China","School of Information Engineering, Xi\u2019an University, Xi\u2019an, 710065, Shaanxi, China","School of Information Engineering, Xi'an University, Xi'an, 710065, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information Engineering, Xi\u2019an University, Xi\u2019an, 710065, Shaanxi, China","institution_ids":["https://openalex.org/I4210115513"]},{"raw_affiliation_string":"School of Information Engineering, Xi'an University, Xi'an, 710065, Shaanxi, China","institution_ids":["https://openalex.org/I4210115513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032548139","display_name":"Kai Ye","orcid":"https://orcid.org/0000-0002-2851-6741"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Ye","raw_affiliation_strings":["School of Automation Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, Shaanxi, China","School of Automation Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032548139"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":4.2704,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95244299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.8565999865531921,"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":0.8565999865531921,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8458999991416931,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13731","display_name":"Advanced Computing and Algorithms","score":0.8047000169754028,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404587268829346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6592963337898254},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.617645263671875},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5819401144981384},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.497802734375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908483624458313},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4714047908782959},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.47045648097991943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3895503878593445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36484983563423157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.356701135635376},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.12460777163505554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404587268829346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6592963337898254},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.617645263671875},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5819401144981384},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.497802734375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908483624458313},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4714047908782959},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.47045648097991943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3895503878593445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36484983563423157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.356701135635376},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.12460777163505554},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-021-00805-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00805-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00805-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78eddd45703a40548cb2bc8399cc528e","is_oa":true,"landing_page_url":"https://doaj.org/article/78eddd45703a40548cb2bc8399cc528e","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":"EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-16 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-021-00805-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00805-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00805-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205400701.pdf","grobid_xml":"https://content.openalex.org/works/W3205400701.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W882207295","https://openalex.org/W1765635261","https://openalex.org/W1994343773","https://openalex.org/W1997481580","https://openalex.org/W2118681954","https://openalex.org/W2172587993","https://openalex.org/W2215150551","https://openalex.org/W2327214919","https://openalex.org/W2335692478","https://openalex.org/W2344084644","https://openalex.org/W2379422757","https://openalex.org/W2466989778","https://openalex.org/W2482803382","https://openalex.org/W2515075441","https://openalex.org/W2534142349","https://openalex.org/W2548357520","https://openalex.org/W2608896678","https://openalex.org/W2738457719","https://openalex.org/W2760646638","https://openalex.org/W2785012600","https://openalex.org/W2792121133","https://openalex.org/W2795920675","https://openalex.org/W2827978565","https://openalex.org/W2883861306","https://openalex.org/W2886917005","https://openalex.org/W2946113577","https://openalex.org/W2952836434","https://openalex.org/W3001472289","https://openalex.org/W3013979077","https://openalex.org/W3113462545","https://openalex.org/W3127931791","https://openalex.org/W3144787445"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2789802309","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W1980417906","https://openalex.org/W2171903035","https://openalex.org/W2106598802","https://openalex.org/W2123241129"],"abstract_inverted_index":{"Abstract":[0],"Researched":[1],"in":[2,99,129],"the":[3,31,54,57,75,125,133],"1980s,":[4],"multi-sensor":[5,70,83],"data":[6,71,84],"convergence":[7],"has":[8],"become":[9],"a":[10,36,87],"hot":[11],"issue.":[12],"Not":[13],"only":[14],"does":[15],"it":[16,34],"differ":[17],"from":[18],"general":[19],"signal":[20],"processing,":[21],"or":[22],"single":[23],"to":[24],"multiple":[25,45],"sensor":[26,46],"surveillance":[27],"and":[28,65,79,93,116],"measurement,":[29],"on":[30,44,53,69,74],"other":[32],"hand,":[33],"is":[35,51,91],"higher":[37],"level":[38],"of":[39,56,62,136],"integrated":[40],"decision-making":[41],"processes":[42],"based":[43,52,68,73],"measurement":[47],"outcomes,":[48],"this":[49,130],"paper":[50,131],"study":[55],"saliency":[58,137],"area":[59],"detection":[60,134],"algorithm":[61,78,81,90,105,127],"electronic":[63],"information":[64],"image":[66,118],"processing":[67],"fusion,":[72],"improved":[76],"FT":[77],"LC":[80],"using":[82],"fusion":[85],"technology,":[86],"new":[88],"LVA":[89,126],"proposed,":[92],"these":[94],"three":[95],"algorithms":[96],"are":[97],"evaluated":[98],"an":[100],"all-round":[101],"way":[102],"through":[103],"various":[104],"evaluation":[106],"indicators":[107],"such":[108],"as":[109],"PR":[110],"curve,":[111],"PRF":[112],"histogram,":[113],"MAE":[114],"index,":[115],"recognition":[117],"rate.":[119],"The":[120],"research":[121],"results":[122],"show":[123],"that":[124],"proposed":[128],"improves":[132],"rate":[135],"maps":[138],"by":[139],"5\u201310%.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}