{"id":"https://openalex.org/W2052992160","doi":"https://doi.org/10.1109/tetc.2014.2356499","title":"Estimating the Statistical Characteristics of Remote Sensing Big Data in the Wavelet Transform Domain","display_name":"Estimating the Statistical Characteristics of Remote Sensing Big Data in the Wavelet Transform Domain","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2052992160","doi":"https://doi.org/10.1109/tetc.2014.2356499","mag":"2052992160"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2014.2356499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetc.2014.2356499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6245516/6939750/06897952.pdf","source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6245516/6939750/06897952.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056062712","display_name":"Hui Zhong","orcid":"https://orcid.org/0000-0002-8996-0774"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhong","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","Department of Electrical Engineering and Information Sciences, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Department of Electrical Engineering and Information Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072670483","display_name":"Rajiv Ranjan","orcid":"https://orcid.org/0000-0002-6610-1328"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan","raw_affiliation_strings":["Computational Informatics, Commonwealth Scientific and Industrial Research Organisation, Clayton South, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Informatics, Commonwealth Scientific and Industrial Research Organisation, Clayton South, VIC, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015993565","display_name":"Albert Y. Zomaya","orcid":"https://orcid.org/0000-0002-3090-1059"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Albert Zomaya","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023925857","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0003-3292-8551"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2403,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94138682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"3","first_page":"324","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9925000071525574,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9861999750137329,"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/wavelet","display_name":"Wavelet","score":0.712409257888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6379797458648682},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6223948001861572},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6139318346977234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5192863345146179},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5171008110046387},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5112457275390625},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4871461093425751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4387422204017639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37770766019821167}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.712409257888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6379797458648682},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6223948001861572},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6139318346977234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5192863345146179},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5171008110046387},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5112457275390625},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4871461093425751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4387422204017639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37770766019821167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2014.2356499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetc.2014.2356499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6245516/6939750/06897952.pdf","source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tetc.2014.2356499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetc.2014.2356499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6245516/6939750/06897952.pdf","source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6492442049","display_name":null,"funder_award_id":"61361120098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2052992160.pdf","grobid_xml":"https://content.openalex.org/works/W2052992160.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1500149156","https://openalex.org/W2002355784","https://openalex.org/W2013848746","https://openalex.org/W2040263621","https://openalex.org/W2049502219","https://openalex.org/W2085088008","https://openalex.org/W2091214390","https://openalex.org/W2094514589","https://openalex.org/W2106138042","https://openalex.org/W2107222994","https://openalex.org/W2111727749","https://openalex.org/W2113816497","https://openalex.org/W2113945798","https://openalex.org/W2125527601","https://openalex.org/W2127006916","https://openalex.org/W2128971683","https://openalex.org/W2130304062","https://openalex.org/W2132984323","https://openalex.org/W2134715294","https://openalex.org/W2134929491","https://openalex.org/W2139282590","https://openalex.org/W2140565974","https://openalex.org/W2140991832","https://openalex.org/W2143506556","https://openalex.org/W2146842127","https://openalex.org/W2151221869","https://openalex.org/W2151375682","https://openalex.org/W2152047336","https://openalex.org/W2153168413","https://openalex.org/W2158537567","https://openalex.org/W2160857560","https://openalex.org/W2161528141","https://openalex.org/W2166866346","https://openalex.org/W2168664005","https://openalex.org/W2168796889","https://openalex.org/W4255272544","https://openalex.org/W6680922791"],"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/W1588899229","https://openalex.org/W2077021924","https://openalex.org/W2023142747","https://openalex.org/W2172291505"],"abstract_inverted_index":{"Since":[0],"it":[1,240],"is":[2,22,161,241],"difficult":[3],"to":[4,88,131,173],"deal":[5],"with":[6,194],"big":[7,20,27,92,116,142,182,230,268],"data":[8,21,28,93,117,143,183,231,251,269],"using":[9,253],"traditional":[10],"models":[11],"and":[12,15,44,59,63,107,149,199,236,279],"algorithms,":[13],"predicting":[14],"estimating":[16],"the":[17,54,99,104,110,115,134,164,169,175,179,186,192,216,220,227,248,254,260,267,275,283],"characteristics":[18,206,218],"of":[19,30,40,53,76,137,191,196,207,219,263,282],"very":[23],"important.":[24],"Remote":[25],"sensing":[26,91,181,229],"consist":[29],"many":[31],"large-scale":[32],"images":[33,56],"that":[34,94,215,259],"are":[35,57,68,95,145,201,210,223,271],"extremely":[36],"complex":[37],"in":[38,98,103,109,140,185,226,274],"terms":[39],"their":[41],"structural,":[42],"spectral,":[43],"textual":[45],"features.":[46],"Based":[47],"on":[48,125],"multiresolution":[49],"analysis":[50],"theory,":[51],"most":[52],"natural":[55],"sparse":[58],"have":[60,150],"obvious":[61,225],"clustering":[62],"persistence":[64],"characters":[65],"when":[66,245],"they":[67],"transformed":[69],"into":[70,119],"another":[71],"domain":[72],"by":[73],"a":[74,85,126,141,151,155],"group":[75],"basic":[77],"special":[78],"functions.":[79],"In":[80,129],"this":[81],"paper,":[82],"we":[83,167,246],"use":[84,168],"wavelet":[86,127,138,187,221,284],"transform":[87],"represent":[89],"remote":[90,180,228],"large":[96],"scale":[97,200,261],"space":[100],"domain,":[101,106],"correlated":[102],"spectral":[105],"continuous":[108],"time":[111],"domain.":[112,188],"We":[113,213,256],"decompose":[114],"set":[118,144,184,232,252,270],"approximate":[120],"multiscale":[121],"detail":[122],"coefficients":[123,139,222],"based":[124],"transform.":[128],"order":[130],"determine":[132],"whether":[133],"density":[135,277],"function":[136,278],"peaky":[146],"at":[147],"zero":[148],"heavy":[152],"tailed":[153],"shape,":[154],"two-component":[156],"Gaussian":[157],"mixture":[158],"model":[159,176,247],"(GMM)":[160],"employed.":[162],"For":[163],"first":[165],"time,":[166,198],"expectation-maximization":[170],"likelihood":[171],"method":[172],"estimate":[174],"parameters":[177,281],"for":[178,233,266],"The":[189,204],"variance":[190],"GMM":[193,280],"changing":[195],"bands,":[197],"comprehensively":[202],"analyzed.":[203],"statistical":[205],"different":[208,234,237,264],"textures":[209,265],"also":[211,257],"compared.":[212],"find":[214],"cluster":[217],"still":[224],"bands":[235],"scales.":[238],"However,":[239],"not":[242],"always":[243],"precise":[244],"long-term":[249],"sequence":[250],"GMM.":[255],"found":[258],"features":[262],"obviously":[272],"reflected":[273],"probability":[276],"coefficients.":[285]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
