{"id":"https://openalex.org/W2165128408","doi":"https://doi.org/10.1109/igarss.2002.1025651","title":"The uncertainty visualization problem in remote sensing analysis","display_name":"The uncertainty visualization problem in remote sensing analysis","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2165128408","doi":"https://doi.org/10.1109/igarss.2002.1025651","mag":"2165128408"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1025651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1025651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","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/A5108525733","display_name":"Jennifer Dungan","orcid":"https://orcid.org/0000-0002-4863-1616"},"institutions":[{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.L. Dungan","raw_affiliation_strings":["Ames Research Center, NASA, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ames Research Center, NASA, CA, USA","institution_ids":["https://openalex.org/I1280536761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028982390","display_name":"David Kao","orcid":"https://orcid.org/0000-0002-2832-9348"},"institutions":[{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Kao","raw_affiliation_strings":["Ames Research Center, NASA, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ames Research Center, NASA, CA, USA","institution_ids":["https://openalex.org/I1280536761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016076717","display_name":"Alex Pang","orcid":"https://orcid.org/0000-0003-0720-7162"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Pang","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"729","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9975000023841858,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6797152161598206},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.6545316576957703},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.564349353313446},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5425742864608765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5194015502929688},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.47847554087638855},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4524766206741333},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4305221438407898},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42198628187179565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32297375798225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3003937602043152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2079106867313385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1768190860748291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797152161598206},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.6545316576957703},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.564349353313446},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5425742864608765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5194015502929688},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.47847554087638855},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4524766206741333},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4305221438407898},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42198628187179565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32297375798225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3003937602043152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2079106867313385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1768190860748291},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1025651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1025651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W5565389","https://openalex.org/W123973712","https://openalex.org/W1569483414","https://openalex.org/W1985858708","https://openalex.org/W1993614951","https://openalex.org/W2058214432","https://openalex.org/W2060417909","https://openalex.org/W2092983935","https://openalex.org/W2119513445","https://openalex.org/W2132437434","https://openalex.org/W2315700685","https://openalex.org/W2891163915"],"related_works":["https://openalex.org/W4235623166","https://openalex.org/W4288413872","https://openalex.org/W4300881118","https://openalex.org/W2805514392","https://openalex.org/W2921932085","https://openalex.org/W160253906","https://openalex.org/W193767348","https://openalex.org/W3005542765","https://openalex.org/W2559957968","https://openalex.org/W1539131693"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,96],"analyses":[2],"usually":[3],"result":[4],"in":[5,15,64,91,200],"maps":[6,172],"of":[7,34,39,61,75,94,118,166,173,191,229],"discrete":[8],"or":[9,198],"continuous":[10],"variables.":[11],"Ideally,":[12],"each":[13,42],"value":[14],"such":[16],"a":[17,28,48,52,142,194,208,213,219],"map":[18],"should":[19],"be":[20,56],"accompanied":[21],"by":[22,71,169,212],"an":[23,59],"uncertainty":[24,40,90,168],"description,":[25],"that":[26,101],"is,":[27],"quantitative":[29],"statement":[30],"about":[31],"the":[32,72,79,83,87,92,99,110,116,119,125,164,181,201,226],"probability":[33,49,53,126,156],"error.":[35],"A":[36],"full":[37],"description":[38],"at":[41,102,234],"pixel":[43],"is":[44,151],"usefully":[45],"represented":[46],"using":[47,207],"distribution.":[50],"Such":[51],"distribution":[54,157],"may":[55],"based":[57],"on":[58],"understanding":[60],"potential":[62],"errors":[63],"position,":[65],"spatial":[66,111],"support":[67,135],"(the":[68],"area":[69],"measured":[70],"sensor's":[73],"field":[74],"view),":[76],"model":[77,80],"parameters,":[78],"structure,":[81],"and":[82,114,123,131,176,218,223],"input":[84],"variables":[85],"to":[86,145],"model.":[88],"Visualizing":[89],"products":[93],"remote":[95],"analysis":[97],"presents":[98],"challenge":[100],"least":[103],"four":[104,148,232],"dimensions":[105,112,233],"are":[106,109],"required.":[107],"These":[108],"(x":[113],"y),":[115],"dimension":[117],"variable":[120],"being":[121],"mapped":[122],"finally":[124],"dimension.":[127],"Current":[128],"visualization":[129],"tools":[130],"techniques":[132],"do":[133],"not":[134,152],"these":[136,205],"data":[137,158,209],"sets":[138],"directly.":[139],"Even":[140],"animation,":[141],"logical":[143],"choice":[144],"represent":[146],"other":[147],"dimensional":[149],"problems,":[150],"fully":[153],"satisfactory":[154],"for":[155],"sets.":[159],"We":[160,203],"have":[161,185],"first":[162],"addressed":[163],"problem":[165],"visualizing":[167,230],"creating":[170],"interactive":[171],"first,":[174],"second":[175],"third":[177],"order":[178],"statistics":[179],"summarizing":[180],"distributions.":[182],"Next,":[183],"we":[184,224],"experimented":[186],"with":[187],"shaded":[188],"surface":[189],"rendering":[190],"distributions":[192],"from":[193],"user-selectable":[195],"profile":[196],"(row":[197],"column)":[199],"image.":[202],"demonstrate":[204],"methods":[206],"set":[210],"generated":[211],"geostatistical":[214],"conditional":[215],"simulation":[216],"algorithm":[217],"single":[220],"band":[221],"image":[222],"discuss":[225],"future":[227],"promise":[228],"all":[231],"once.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
