{"id":"https://openalex.org/W4312548729","doi":"https://doi.org/10.1109/igarss46834.2022.9884712","title":"Cloud-Based Parallel Tiling Algorithm for Large Scale Remote Sensing Datasets","display_name":"Cloud-Based Parallel Tiling Algorithm for Large Scale Remote Sensing Datasets","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312548729","doi":"https://doi.org/10.1109/igarss46834.2022.9884712"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884712","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5100647359","display_name":"Chen Xu","orcid":"https://orcid.org/0000-0002-5452-9941"},"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/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","University of Chinese Academy of Sciences, Beijing, China","International Research Center of Big Data for Sustainable Development Goals, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602865","display_name":"Xiaoping Du","orcid":"https://orcid.org/0000-0002-0618-0984"},"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/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Du","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","International Research Center of Big Data for Sustainable Development Goals, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076984563","display_name":"Zhenzhen Yan","orcid":"https://orcid.org/0000-0001-7370-9959"},"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/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Yan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","International Research Center of Big Data for Sustainable Development Goals, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511740","display_name":"Xiangtao Fan","orcid":null},"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/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangtao Fan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","International Research Center of Big Data for Sustainable Development Goals, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Digital Earth Science,Beijing,China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14431746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"4030","last_page":"4033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818999767303467,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818999767303467,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9614999890327454,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.803145170211792},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7552335262298584},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5922714471817017},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5163708925247192},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46935543417930603},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.41414502263069153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39396822452545166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3280217945575714},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11420303583145142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803145170211792},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7552335262298584},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5922714471817017},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5163708925247192},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46935543417930603},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.41414502263069153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39396822452545166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3280217945575714},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11420303583145142},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884712","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8088657330","display_name":"\u4e09\u6c5f\u5e76\u6d41\u533a\u5b8f\u89c2\u5730\u8c8c\u6f14\u5316\u4e0e\u65b0\u6784\u9020\u8fd0\u52a8\u8026\u5408\u52a8\u529b\u5b66\u7684\u6570\u503c\u5b9e\u9a8c\u5206\u6790","funder_award_id":"41974108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8442774884","display_name":null,"funder_award_id":"XDA19080103","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1516720694","https://openalex.org/W2103518860","https://openalex.org/W2119738171","https://openalex.org/W2249741776","https://openalex.org/W2268839464","https://openalex.org/W2534983812","https://openalex.org/W2559648724","https://openalex.org/W2574839832","https://openalex.org/W2725897987","https://openalex.org/W2903649739","https://openalex.org/W3007571344","https://openalex.org/W3013702075","https://openalex.org/W3035009824","https://openalex.org/W3194490357","https://openalex.org/W4225405889","https://openalex.org/W4239670432","https://openalex.org/W6728758679"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Tiled":[0],"remote":[1,8,18,31,41,52,69,125],"sensing":[2,9,19,32,42,53,70,126],"data":[3,43,103],"is":[4,76],"essential":[5],"for":[6,47,67,118],"web-based":[7],"applications,":[10],"widely":[11],"applied":[12],"in":[13],"online":[14],"map":[15],"services,":[16],"cloud-based":[17,63,94],"processing,":[20],"etc.":[21],"However,":[22],"most":[23],"existing":[24],"tiling":[25,29,48,65,81,119],"algorithms":[26],"focus":[27],"on":[28],"single":[30],"images":[33],"with":[34,114,135],"stand-alone":[35],"machines.":[36],"As":[37],"the":[38,45,80,100,115],"volume":[39],"of":[40,82,85,88,93,102],"increases,":[44],"demand":[46],"high-resolution":[49],"and":[50,110],"large-scale":[51,68],"datasets":[54,83],"increases":[55],"dramatically.":[56],"In":[57],"this":[58],"research,":[59],"we":[60],"propose":[61],"a":[62,86,120],"parallel":[64],"algorithm":[66,117],"datasets.":[71],"A":[72],"three-step":[73],"processing":[74],"flow":[75],"designed":[77],"to":[78,98,137],"implement":[79],"composed":[84],"set":[87],"images.":[89],"Furthermore,":[90],"three":[91],"types":[92],"storage":[95],"are":[96],"adopted":[97],"improve":[99],"efficiency":[101],"extraction,":[104],"namely,":[105],"cloud":[106],"storage,":[107,109],"block":[108],"NoSQL.":[111],"We":[112],"experimented":[113],"proposed":[116],"national-scale":[121],"2":[122],"m":[123],"resolution":[124],"dataset.":[127],"The":[128],"whole":[129],"process":[130],"took":[131],"about":[132],"25.7":[133],"hours":[134],"up":[136],"180":[138],"cores.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}