{"id":"https://openalex.org/W1977747168","doi":"https://doi.org/10.1109/geoinformatics.2013.6626187","title":"Massive image data management using HBase and MapReduce","display_name":"Massive image data management using HBase and MapReduce","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1977747168","doi":"https://doi.org/10.1109/geoinformatics.2013.6626187","mag":"1977747168"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2013.6626187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","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/A5108097210","display_name":"Yuehu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuehu Liu","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427326","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-2962-9254"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111619771","display_name":"Wenxi He","orcid":null},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxi He","raw_affiliation_strings":["Wuhan Center of Geological Survey, Wuhan, China","Wuhan Center of Geol. Survey, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Center of Geological Survey, Wuhan, China","institution_ids":["https://openalex.org/I2799486974"]},{"raw_affiliation_string":"Wuhan Center of Geol. Survey, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106083367","display_name":"Yu Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fang","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108097210"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":4.8537,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94813933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9671000242233276,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8601557016372681},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7909665107727051},{"id":"https://openalex.org/keywords/data-intensive-computing","display_name":"Data-intensive computing","score":0.614161491394043},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.564320981502533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5235273838043213},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47162699699401855},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43891531229019165},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.4315151870250702},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43071502447128296},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.426252543926239},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.4249367117881775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37241560220718384},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34917527437210083},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32251328229904175},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1563226282596588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1327551305294037},{"id":"https://openalex.org/keywords/grid-computing","display_name":"Grid computing","score":0.06414392590522766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8601557016372681},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7909665107727051},{"id":"https://openalex.org/C76831024","wikidata":"https://www.wikidata.org/wiki/Q5227096","display_name":"Data-intensive computing","level":4,"score":0.614161491394043},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.564320981502533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5235273838043213},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47162699699401855},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43891531229019165},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.4315151870250702},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43071502447128296},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.426252543926239},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.4249367117881775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37241560220718384},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34917527437210083},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32251328229904175},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1563226282596588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1327551305294037},{"id":"https://openalex.org/C70429105","wikidata":"https://www.wikidata.org/wiki/Q249999","display_name":"Grid computing","level":3,"score":0.06414392590522766},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2013.6626187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1967838552","https://openalex.org/W2024342127","https://openalex.org/W2138321985","https://openalex.org/W2152264024","https://openalex.org/W2173213060"],"related_works":["https://openalex.org/W2794953737","https://openalex.org/W75281627","https://openalex.org/W205144218","https://openalex.org/W2064093371","https://openalex.org/W3214050359","https://openalex.org/W2084642891","https://openalex.org/W2151763581","https://openalex.org/W2340056135","https://openalex.org/W1451242789","https://openalex.org/W214547710"],"abstract_inverted_index":{"With":[0],"the":[1,33,62,88,99],"rapid":[2],"development":[3],"of":[4,90,101],"remote":[5,10],"sensing":[6,11],"and":[7,28,47,55,79,93],"computer":[8],"technologies,":[9],"image":[12,75],"data":[13,76,91,94],"obtained":[14],"by":[15],"satellite":[16],"isincreasing":[17],"dramatically":[18],"[1].":[19],"The":[20],"speed":[21],"has":[22],"exceeded":[23],"one":[24],"TB":[25],"each":[26],"day":[27],"will":[29],"obviously":[30,97],"increase":[31,96],"in":[32,77],"future.":[34],"How":[35],"to":[36,72],"manage":[37],"it":[38,81],"efficiently":[39],"becomes":[40],"a":[41,53,70],"problem":[42],"because":[43],"traditional":[44],"waysare":[45],"expensive":[46],"difficultto":[48],"extend.":[49],"Hence,":[50],"we":[51,68],"need":[52],"scalable":[54],"parallel":[56],"processing":[57,95],"model.":[58],"HBaseand":[59],"MapReduce":[60],"meet":[61],"needs":[63],"naturally.":[64],"In":[65],"this":[66],"paper,":[67],"propose":[69],"method":[71],"store":[73],"massive":[74],"HBase,":[78],"process":[80],"using":[82],"MapReduce.":[83],"Experimental":[84],"results":[85],"illustrate":[86],"that":[87],"speeds":[89],"importing":[92],"as":[98],"cluster":[100],"HBase":[102],"grows.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}