{"id":"https://openalex.org/W1992509549","doi":"https://doi.org/10.1109/icip.2013.6738490","title":"Multiscale distilled sensing: A source detection method for infrared and radio astronomical images","display_name":"Multiscale distilled sensing: A source detection method for infrared and radio astronomical images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1992509549","doi":"https://doi.org/10.1109/icip.2013.6738490","mag":"1992509549"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-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/A5025074428","display_name":"M. Masias","orcid":"https://orcid.org/0000-0001-5611-6625"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"University of Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Marc Masias","raw_affiliation_strings":["Department of Computer Architecture and Technology, University of Girona, Girona, Spain","Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]},{"raw_affiliation_string":"Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064897887","display_name":"Xavier Llad\u00f3","orcid":"https://orcid.org/0000-0003-2777-3479"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"University of Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Llad\u00f3","raw_affiliation_strings":["Department of Computer Architecture and Technology, University of Girona, Girona, Spain","Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]},{"raw_affiliation_string":"Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064198721","display_name":"M. Peracaula","orcid":"https://orcid.org/0000-0003-0871-6583"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"University of Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marta Peracaula","raw_affiliation_strings":["Department of Computer Architecture and Technology, University of Girona, Girona, Spain","Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]},{"raw_affiliation_string":"Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077881500","display_name":"Jordi Freixenet","orcid":"https://orcid.org/0000-0001-9524-3328"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"University of Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jordi Freixenet","raw_affiliation_strings":["Department of Computer Architecture and Technology, University of Girona, Girona, Spain","Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Technology, University of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]},{"raw_affiliation_string":"Dept. of Comput. Archit. & Technol., Univ. of Girona, Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025074428"],"corresponding_institution_ids":["https://openalex.org/I251424209"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05281852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2378","last_page":"2382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9976999759674072,"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":0.9976999759674072,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9901000261306763,"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/infrared","display_name":"Infrared","score":0.6540085077285767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633444607257843},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5890939235687256},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5263246893882751},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5014650821685791},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46123504638671875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4543763995170593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3398193120956421},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3113440275192261},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1809832751750946},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1699359118938446},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10613486170768738}],"concepts":[{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6540085077285767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633444607257843},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5890939235687256},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5263246893882751},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5014650821685791},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46123504638671875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4543763995170593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3398193120956421},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3113440275192261},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1809832751750946},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1699359118938446},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10613486170768738},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1527644224","https://openalex.org/W1601383518","https://openalex.org/W1663272054","https://openalex.org/W1929426853","https://openalex.org/W1980704551","https://openalex.org/W1984681501","https://openalex.org/W2051546265","https://openalex.org/W2129217551","https://openalex.org/W2133601655","https://openalex.org/W2138820382","https://openalex.org/W2142238829","https://openalex.org/W2152648017","https://openalex.org/W3102024008","https://openalex.org/W6645552366","https://openalex.org/W6679982395","https://openalex.org/W6680839590"],"related_works":["https://openalex.org/W1598955744","https://openalex.org/W4285167822","https://openalex.org/W2951710344","https://openalex.org/W2121524756","https://openalex.org/W2204136089","https://openalex.org/W2374614594","https://openalex.org/W2144602163","https://openalex.org/W4384111961","https://openalex.org/W782553550","https://openalex.org/W2905024780"],"abstract_inverted_index":{"Astronomical":[0],"images":[1,36,107],"are":[2,30],"characterized":[3],"by":[4,25],"having":[5],"a":[6,11,15,65,115],"high":[7,34],"component":[8],"of":[9,18,53,58,85,95,111,118],"noise,":[10],"non-homogeneous":[12],"background,":[13],"and":[14,40,72,105,126],"great":[16,43],"number":[17,117],"sources":[19,54,120],"(objects)":[20],"difficult":[21],"to":[22,48],"identify":[23],"even":[24],"experts.":[26],"All":[27],"these":[28],"factors":[29],"especially":[31],"remarkable":[32],"in":[33,55],"wavelength":[35],"such":[37],"as":[38,90,92],"infrared":[39,104],"radio.":[41],"Hence,":[42],"efforts":[44],"have":[45],"been":[46],"done":[47],"solve":[49],"the":[50,73,83,86,93,96,109,112,122,127],"automatic":[51],"detection":[52],"this":[56,61],"type":[57],"images.":[59],"In":[60],"paper,":[62],"we":[63],"propose":[64],"new":[66],"approach":[67],"based":[68],"on":[69],"multiscale":[70],"decomposition":[71],"recently":[74],"developed":[75],"Distilled":[76,124],"Sensing":[77,125],"method.":[78],"Their":[79],"combined":[80],"use":[81],"allows":[82],"minimization":[84],"complex":[87],"background":[88],"effects":[89],"well":[91],"highlighting":[94],"sources.":[97],"The":[98],"experimental":[99],"results":[100],"obtained":[101],"using":[102],"public":[103],"radio":[106],"demonstrate":[108],"validity":[110],"approach,":[113],"detecting":[114],"greater":[116],"true":[119],"than":[121],"original":[123],"well-known":[128],"SExtractor":[129],"algorithm.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
