{"id":"https://openalex.org/W2121960177","doi":"https://doi.org/10.1109/cvpr.2000.854807","title":"Feature based visualization of geophysical data","display_name":"Feature based visualization of geophysical data","publication_year":2002,"publication_date":"2002-11-07","ids":{"openalex":"https://openalex.org/W2121960177","doi":"https://doi.org/10.1109/cvpr.2000.854807","mag":"2121960177"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2000.854807","doi":"https://doi.org/10.1109/cvpr.2000.854807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2000.854807","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)","raw_type":"proceedings-article"},"volume":null,"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/A5006400453","display_name":"Qing Xin Yang","orcid":"https://orcid.org/0000-0003-2744-9556","observed_orcids":["https://orcid.org/0000-0003-2744-9556"]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","E O Lawrence Berkeley National Laboratory, Berkeley, CA, US","Dept. of Comput. Sci., Lawrence Berkeley Nat. Lab., CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"E O Lawrence Berkeley National Laboratory, Berkeley, CA, US","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Lawrence Berkeley Nat. Lab., CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103044353","display_name":"Bahram Parvin","orcid":"https://orcid.org/0000-0002-2732-1643","observed_orcids":["https://orcid.org/0000-0002-2732-1643"]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Parvin","raw_affiliation_strings":["Lawrence Berkeley National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148283060"],"apc_list":null,"apc_paid":null,"fwci":8.9428,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98400284,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"276","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.7964000105857849,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.7964000105857849,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.08820000290870667,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.011099999770522118,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/geophysical-data","display_name":"geophysical data","score":0.8579999804496765},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"sea surface temperature","score":0.9810000061988831},{"id":"https://openalex.org/keywords/vortex-identification","display_name":"vortex identification","score":0.8059999942779541},{"id":"https://openalex.org/keywords/saddle-points","display_name":"saddle points","score":0.8230000138282776},{"id":"https://openalex.org/keywords/singular-events","display_name":"singular events","score":0.5960000157356262},{"id":"https://openalex.org/keywords/seasonal-patterns","display_name":"seasonal patterns","score":0.8119999766349792},{"id":"https://openalex.org/keywords/interannual-variability","display_name":"interannual variability","score":0.7680000066757202},{"id":"https://openalex.org/keywords/ocean-dynamics","display_name":"ocean dynamics","score":0.4350000023841858}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.721264123916626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636559128761292},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5387950539588928},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.5028669238090515},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49528780579566956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4831663966178894},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4831644892692566},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.469461590051651},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.43759772181510925},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4083057940006256},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3247464895248413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3051084280014038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2574447989463806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10216107964515686},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2000.854807","doi":"https://doi.org/10.1109/cvpr.2000.854807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2000.854807","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.6627","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.6627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.lbl.gov/Publications/cvpr2k_sst/cvpr2k_sst.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W2016369756","https://openalex.org/W2020999234","https://openalex.org/W2101596325","https://openalex.org/W2112567316","https://openalex.org/W2125412667","https://openalex.org/W2141123787","https://openalex.org/W2146194691","https://openalex.org/W2146203184","https://openalex.org/W2154588706","https://openalex.org/W2159040729","https://openalex.org/W2751023760","https://openalex.org/W4244063180","https://openalex.org/W6682955626"],"related_works":["https://openalex.org/W2155068376","https://openalex.org/W2123129988","https://openalex.org/W2922315434","https://openalex.org/W4390882978","https://openalex.org/W2995175997","https://openalex.org/W3124511875","https://openalex.org/W2096125052","https://openalex.org/W7078994564","https://openalex.org/W2765990347","https://openalex.org/W6941013370"],"abstract_inverted_index":{"Our":[0,51],"goal":[1],"is":[2],"to":[3,94,102],"develop":[4],"a":[5,72],"feature":[6,62,86],"based":[7,30,109],"framework":[8],"for":[9,60,74],"data":[10,16,19,101],"mining":[11],"and":[12,81,88,106],"forecasting":[13],"from":[14,23,38,64,65,84],"geophysical":[15],"fields.":[17],"These":[18],"may":[20],"be":[21],"generated":[22],"either":[24],"numerical":[25],"simulation":[26],"models":[27],"or":[28],"space":[29],"platforms.":[31],"This":[32],"paper":[33],"focuses":[34],"on":[35,110],"pertinent":[36],"features":[37],"sea":[39],"surface":[40],"temperature":[41],"(SST)":[42],"fields":[43],"that":[44],"are":[45],"observed":[46],"with":[47,68],"the":[48],"AVHRR":[49],"satellite.":[50],"contribution":[52],"consist":[53],"of":[54,91,97],"three":[55],"components:":[56],"(1)":[57],"A":[58],"method":[59,73],"tracking":[61],"velocities":[63],"fluid":[66],"motion":[67],"incompressibility":[69],"constraint,":[70],"(2)":[71],"localizing":[75],"singular":[76],"events":[77],"such":[78],"as":[79],"vortices":[80],"saddle":[82],"points":[83],"underlying":[85],"velocities,":[87],"(3)":[89],"application":[90],"our":[92],"protocol":[93],"12":[95],"years":[96],"high":[98],"resolution":[99],"real":[100],"reveal":[103],"novel":[104],"seasonal":[105],"inter-annual":[107],"trends":[108],"computed":[111],"events.":[112]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}
