{"id":"https://openalex.org/W2724492087","doi":"https://doi.org/10.1109/siu.2017.7960237","title":"Fast cloud detection using low-frequency components of satellite imagery","display_name":"Fast cloud detection using low-frequency components of satellite imagery","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2724492087","doi":"https://doi.org/10.1109/siu.2017.7960237","mag":"2724492087"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5005407054","display_name":"D. Utku Ufuk","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"D. Utku Ufuk","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB ET\u00dc, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB ET\u00dc, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041013509","display_name":"Caner Demirpolat","orcid":"https://orcid.org/0000-0003-1002-0163"},"institutions":[{"id":"https://openalex.org/I198068145","display_name":"Scientific and Technological Research Council of Turkey","ror":"https://ror.org/04w9kkr77","country_code":"TR","type":"government","lineage":["https://openalex.org/I198068145"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Caner Demirpolat","raw_affiliation_strings":["T\u00dcB\u0130TAK Uzay Teknolojileri Ara\u015ft\u0131rma Enstit\u00fcs\u00fc, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"T\u00dcB\u0130TAK Uzay Teknolojileri Ara\u015ft\u0131rma Enstit\u00fcs\u00fc, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I198068145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050989522","display_name":"M. Fatih Demirci","orcid":"https://orcid.org/0000-0001-7002-7506"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Fatih Demirci","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB ET\u00dc, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB ET\u00dc, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005407054"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.4729,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70188355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9904999732971191,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6799933314323425},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6601768732070923},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.642659604549408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602049708366394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5642244219779968},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5514095425605774},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5189661383628845},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.47205501794815063},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47183874249458313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4370039999485016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4136281907558441},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.38627272844314575},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1869886815547943},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09846523404121399}],"concepts":[{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6799933314323425},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6601768732070923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.642659604549408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602049708366394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5642244219779968},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5514095425605774},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5189661383628845},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.47205501794815063},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47183874249458313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4370039999485016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4136281907558441},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.38627272844314575},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1869886815547943},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09846523404121399},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2017.7960237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:8c72e0e6-0ff6-4e80-9324-1e4118193369","is_oa":false,"landing_page_url":"https://avesis.aybu.edu.tr/publication/details/8c72e0e6-0ff6-4e80-9324-1e4118193369/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055213","display_name":"AYBU AVESIS","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1964960006","https://openalex.org/W1985841051","https://openalex.org/W2018069368","https://openalex.org/W2028240797","https://openalex.org/W2030851497","https://openalex.org/W2080968482","https://openalex.org/W2099563019","https://openalex.org/W2103039718","https://openalex.org/W2113392418","https://openalex.org/W2144286427","https://openalex.org/W2146889304","https://openalex.org/W2166251851","https://openalex.org/W2342961644","https://openalex.org/W6654848894"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W2734230146","https://openalex.org/W1588899229","https://openalex.org/W2077021924","https://openalex.org/W2023142747"],"abstract_inverted_index":{"Being":[0],"able":[1],"to":[2,96,108,117],"rapidly":[3],"detect":[4],"clouds":[5],"in":[6,11,100],"satellite":[7],"imagery":[8],"is":[9],"critical":[10],"terms":[12],"of":[13,17,36,47,92,129],"increasing":[14],"mission":[15],"efficiency":[16],"ground":[18],"observation":[19],"satellites.":[20],"In":[21,52],"this":[22],"work,":[23],"a":[24,74,97,126],"new":[25],"approach":[26],"has":[27,82],"been":[28,83],"proposed":[29,54,80],"for":[30,120],"cloud":[31,68,103],"detection":[32,104],"involving":[33],"the":[34,48,53,62,67,86,90,102,112,122],"utilisation":[35],"low-frequency":[37,63,93],"Discrete":[38],"Wavelet":[39],"Transform":[40],"(DWT)":[41],"components":[42,65,94],"whose":[43],"sizes":[44],"are":[45,59,70],"1/64":[46],"original":[49],"image":[50],"sizes.":[51],"method,":[55],"several":[56],"texture":[57],"features":[58],"calculated":[60],"from":[61],"DWT":[64],"and":[66,131],"pixels":[69],"detected":[71],"by":[72],"using":[73],"K-Nearest":[75],"Neighbors":[76],"(KNN)":[77],"classifier.":[78],"The":[79],"method":[81],"tested":[84],"on":[85],"G\u00f6kt\u00fcrk-2":[87],"images.":[88],"Since":[89],"utilization":[91],"leads":[95],"significant":[98],"loss":[99],"detail;":[101],"performance":[105],"have":[106],"decreased":[107],"some":[109],"extent.":[110],"Nevertheless":[111],"obtained":[113],"results":[114],"were":[115],"found":[116],"be":[118],"sufficient":[119],"determining":[121],"cloudiness":[123],"rate":[124],"at":[125,132],"small":[127],"margin":[128],"error,":[130],"approximately":[133],"145\u00d7":[134],"increased":[135],"processing":[136],"speed.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
