{"id":"https://openalex.org/W2544780977","doi":"https://doi.org/10.1109/aipr.2010.5759702","title":"Optimal wavelet features for an infrared satellite precipitation estimate algorithm","display_name":"Optimal wavelet features for an infrared satellite precipitation estimate algorithm","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2544780977","doi":"https://doi.org/10.1109/aipr.2010.5759702","mag":"2544780977"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2010.5759702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044617819","display_name":"Majid Mahrooghy","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Mahrooghy","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026632303","display_name":"Valentine Anantharaj","orcid":"https://orcid.org/0000-0002-9356-1311"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valentine G. Anantharaj","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075380767","display_name":"Nicolas H. Younan","orcid":"https://orcid.org/0000-0003-0815-5173"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas H. Younan","raw_affiliation_strings":["Mississippi State University, Mississippi State, MS, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, Mississippi State, MS, US","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081614551","display_name":"James V. Aanstoos","orcid":"https://orcid.org/0000-0002-3594-4189"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Aanstoos","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":2.1779,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.890625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.8243792653083801},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.6471954584121704},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.6413648724555969},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6073002219200134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.564566969871521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384663343429565},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5377402901649475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5002932548522949},{"id":"https://openalex.org/keywords/morlet-wavelet","display_name":"Morlet wavelet","score":0.4863665699958801},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48307016491889954},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.42313721776008606},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4215930104255676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4128408133983612},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3913053274154663},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.38308918476104736},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3579089343547821},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.25835782289505005},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20287469029426575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0953538715839386}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8243792653083801},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.6471954584121704},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.6413648724555969},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6073002219200134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.564566969871521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384663343429565},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5377402901649475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5002932548522949},{"id":"https://openalex.org/C2778280487","wikidata":"https://www.wikidata.org/wiki/Q3505077","display_name":"Morlet wavelet","level":5,"score":0.4863665699958801},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48307016491889954},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.42313721776008606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4215930104255676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4128408133983612},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3913053274154663},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.38308918476104736},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3579089343547821},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.25835782289505005},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20287469029426575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0953538715839386},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2010.5759702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2010.5759702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1506600438","https://openalex.org/W1512748702","https://openalex.org/W1969994794","https://openalex.org/W1980097476","https://openalex.org/W1995622703","https://openalex.org/W1995903777","https://openalex.org/W2040212551","https://openalex.org/W2070935429","https://openalex.org/W2072258992","https://openalex.org/W2079079224","https://openalex.org/W2083663672","https://openalex.org/W2087057565","https://openalex.org/W2094653192","https://openalex.org/W2101394945","https://openalex.org/W2119803205","https://openalex.org/W2137445698","https://openalex.org/W2139347645","https://openalex.org/W2139927349","https://openalex.org/W2160337655","https://openalex.org/W2165248106","https://openalex.org/W2173333288","https://openalex.org/W4229921563","https://openalex.org/W6630661224"],"related_works":["https://openalex.org/W2144834862","https://openalex.org/W2385024119","https://openalex.org/W2394476054","https://openalex.org/W2394102384","https://openalex.org/W1979486834","https://openalex.org/W1974952288","https://openalex.org/W2386312039","https://openalex.org/W2358271565","https://openalex.org/W2358021240","https://openalex.org/W2357228847"],"abstract_inverted_index":{"A":[0],"satellite":[1,31,115],"precipitation":[2],"estimation":[3],"algorithm":[4],"based":[5,32],"on":[6],"wavelet":[7,15,20,57,136],"features":[8,16,62],"is":[9,52],"investigated":[10],"to":[11,53,59],"find":[12,54],"the":[13,29,44,72],"optimal":[14,56],"in":[17],"terms":[18],"of":[19,49,78,95,105],"family":[21],"and":[22,66,93,101,109,122,138],"sliding":[23,126],"window":[24,127,139],"size.":[25],"In":[26],"this":[27,50],"work,":[28],"infrared":[30,79],"images":[33,81],"along":[34],"with":[35,125],"ground":[36],"gauge":[37],"(radar":[38],"corrected)":[39],"observations":[40],"are":[41],"used":[42],"for":[43,63],"retrieval":[45],"rainfall.":[46],"The":[47,117],"goal":[48],"work":[51],"an":[55],"transform":[58],"represent":[60],"better":[61,131],"cloud":[64,80,96],"classification":[65,94],"rainfall":[67],"estimation.":[68],"Our":[69],"approach":[70],"involves":[71],"following":[73],"four":[74],"steps:":[75],"1)":[76],"segmentation":[77],"into":[82],"patches;":[83],"2)":[84],"feature":[85],"extraction":[86],"using":[87,98,114],"a":[88],"wavelet-based":[89],"method;":[90],"3)":[91],"clustering":[92],"patches":[97],"neural":[99],"network,":[100],"4)":[102],"dynamic":[103],"application":[104],"brightness":[106],"temperature":[107],"(Tb)":[108],"rain":[110],"rate":[111],"relationships,":[112],"derived":[113],"observations.":[116],"results":[118],"show":[119],"that":[120],"Haar":[121],"Symlet":[123],"wavelets":[124],"size":[128],"5\u00d75":[129],"have":[130],"estimate":[132],"performance":[133],"than":[134],"other":[135],"families":[137],"sizes.":[140]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
