{"id":"https://openalex.org/W1996912209","doi":"https://doi.org/10.1109/igarss.2013.6723121","title":"High resolution disaster data clustering using Graphics Processing Units","display_name":"High resolution disaster data clustering using Graphics Processing Units","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1996912209","doi":"https://doi.org/10.1109/igarss.2013.6723121","mag":"1996912209"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5025725109","display_name":"Kuldeep Kurte","orcid":"https://orcid.org/0000-0001-5797-7654"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kuldeep R. Kurte","raw_affiliation_strings":["CSRE, Indian Institute of Technology Bombay (IITB), Mumbai, India","CSRE, Indian Inst. of Technol. Bombay (IITB), Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSRE, Indian Institute of Technology Bombay (IITB), Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"CSRE, Indian Inst. of Technol. Bombay (IITB), Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052217638","display_name":"Surya S. Durbha","orcid":"https://orcid.org/0000-0003-1022-8378"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surya S. Durbha","raw_affiliation_strings":["CSRE, Indian Institute of Technology Bombay (IITB), Mumbai, India","CSRE, Indian Inst. of Technol. Bombay (IITB), Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSRE, Indian Institute of Technology Bombay (IITB), Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"CSRE, Indian Inst. of Technol. Bombay (IITB), Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.08624911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1696","last_page":"1699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9686999917030334,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8259276747703552},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.7568910121917725},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7518280744552612},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.58788001537323},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4903748035430908},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45826464891433716},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4252975285053253},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.39811185002326965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3294937014579773},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2403225302696228},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2300589680671692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21045538783073425},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21020367741584778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259276747703552},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.7568910121917725},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7518280744552612},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.58788001537323},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4903748035430908},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45826464891433716},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4252975285053253},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.39811185002326965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294937014579773},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2403225302696228},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2300589680671692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21045538783073425},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21020367741584778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7300000190734863,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W194017790","https://openalex.org/W1481798977","https://openalex.org/W2051224630","https://openalex.org/W2095687521","https://openalex.org/W2118492566","https://openalex.org/W2123045805","https://openalex.org/W2125357381","https://openalex.org/W2166751726","https://openalex.org/W2795859997","https://openalex.org/W2999729612","https://openalex.org/W4234745793"],"related_works":["https://openalex.org/W2151046618","https://openalex.org/W1972148443","https://openalex.org/W1969233021","https://openalex.org/W2167646277","https://openalex.org/W2063573318","https://openalex.org/W2388314963","https://openalex.org/W3158047141","https://openalex.org/W1656096860","https://openalex.org/W2027443981","https://openalex.org/W2360624069"],"abstract_inverted_index":{"Near":[0],"real":[1,34,68],"time":[2,35,49,69],"processing":[3,70],"and":[4,18,83,131],"clusters":[5],"extraction":[6],"from":[7],"high-resolution":[8],"satellite":[9,45],"images":[10],"of":[11,20,44,50,66,71,80,94,97],"disaster":[12],"affected":[13],"area":[14],"aids":[15],"in":[16,60],"monitoring":[17],"deployment":[19],"rescue":[21],"activities.":[22],"In":[23,37],"this":[24],"work":[25],"the":[26,41,47,64,95,134,142,156],"k-medoids":[27,52,81],"clustering":[28],"algorithm":[29],"is":[30,53,92,101,115,145],"analyzed":[31],"for":[32,88],"near":[33,67],"applications.":[36],"general,":[38],"due":[39],"to":[40,55,62,147,155],"large":[42],"size":[43],"data,":[46],"computational":[48],"traditional":[51,135],"found":[54,146],"be":[56],"very":[57],"high.":[58],"Hence":[59],"order":[61],"achieve":[63,148],"aim":[65],"such":[72],"huge":[73],"data":[74,130],"we":[75],"developed":[76],"a":[77,118],"parallel":[78],"implementation":[79,100,120,144],"(GPUPAM)":[82],"integrated":[84],"with":[85,133],"CLARA":[86],"(Clustering":[87],"LARge":[89],"Application),":[90],"which":[91],"one":[93],"variant":[96],"kmedoids.":[98],"The":[99,109,138],"performed":[102],"on":[103,121],"NVIDIA's":[104],"Graphical":[105],"Processing":[106],"Unit":[107],"(GPU).":[108],"performance":[110,151],"improvements":[111],"that":[112,141],"were":[113],"obtained":[114],"demonstrated":[116],"by":[117],"GPU":[119,143],"high":[122],"resolution":[123],"Haiti":[124],"Earthquake":[125],"QuickBird":[126],"(2.4":[127],"meter":[128],"resolution)":[129],"compared":[132,154],"sequential":[136,157],"implementation.":[137,158],"results":[139],"show":[140],"almost":[149],"96%":[150],"improvement":[152],"as":[153]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}