{"id":"https://openalex.org/W3008163149","doi":"https://doi.org/10.1109/bigdata47090.2019.9006003","title":"Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping","display_name":"Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008163149","doi":"https://doi.org/10.1109/bigdata47090.2019.9006003","mag":"3008163149"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5005251827","display_name":"Feiyu Zhu","orcid":"https://orcid.org/0000-0001-6863-7137"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feiyu Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665153","display_name":"Pan Yu","orcid":"https://orcid.org/0000-0002-3333-9719"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Pan","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028109081","display_name":"Tian Gao","orcid":"https://orcid.org/0000-0003-4075-4125"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031106290","display_name":"Harkamal Walia","orcid":"https://orcid.org/0000-0002-9712-5824"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harkamal Walia","raw_affiliation_strings":["Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020745360","display_name":"Hongfeng Yu","orcid":"https://orcid.org/0000-0002-0596-8227"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongfeng Yu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005251827"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":0.1812,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6024199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"1274","last_page":"1281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9840502142906189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577559947967529},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6403409242630005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5812165141105652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5134604573249817},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.49783968925476074},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4868694841861725},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4186056852340698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41550901532173157},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39489784836769104},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.354595422744751},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0833175778388977}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9840502142906189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577559947967529},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6403409242630005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5812165141105652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5134604573249817},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.49783968925476074},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4868694841861725},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4186056852340698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41550901532173157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39489784836769104},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.354595422744751},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0833175778388977},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:3042431012","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002252840742298","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1977675897","https://openalex.org/W1985870845","https://openalex.org/W1988386267","https://openalex.org/W1992054832","https://openalex.org/W2013111720","https://openalex.org/W2032305628","https://openalex.org/W2048397240","https://openalex.org/W2054686314","https://openalex.org/W2087263574","https://openalex.org/W2104441030","https://openalex.org/W2110080554","https://openalex.org/W2110782084","https://openalex.org/W2112229432","https://openalex.org/W2116702374","https://openalex.org/W2118996198","https://openalex.org/W2122118920","https://openalex.org/W2133135191","https://openalex.org/W2142363274","https://openalex.org/W2144412886","https://openalex.org/W2161955943","https://openalex.org/W2166661231","https://openalex.org/W2168600513","https://openalex.org/W2176673053","https://openalex.org/W2500751094","https://openalex.org/W2589406311","https://openalex.org/W2768218410","https://openalex.org/W2799954862","https://openalex.org/W3105100264","https://openalex.org/W6677508755"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239","https://openalex.org/W2560525382"],"abstract_inverted_index":{"Analysis":[0],"of":[1,5,67,84,116],"hyperspectral":[2,21,44,89,98,125],"images":[3,22,45,53],"is":[4,23],"great":[6],"importance":[7],"in":[8],"many":[9],"scientific":[10],"disciplines.":[11],"Obtaining":[12],"the":[13,55,65,75,82],"spectral":[14,49,78],"and":[15,47,51,72,77,118],"spatial":[16,76],"information":[17],"simultaneously":[18],"from":[19],"time-varying":[20,88,124],"a":[24],"challenging":[25],"task":[26],"due":[27],"to":[28,42],"their":[29],"high":[30],"dimensionality.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"design":[36],"an":[37],"interface":[38,107],"that":[39,105],"allows":[40],"users":[41,71,110],"study":[43],"interactively":[46],"obtain":[48],"features":[50],"enhanced":[52],"at":[54],"same":[56],"time.":[57],"The":[58],"image":[59,99,120],"fusion":[60,121],"results":[61,122],"change":[62],"dynamically":[63],"with":[64,96],"regions":[66,115],"interest":[68],"selected":[69],"by":[70],"convey":[73],"both":[74],"information.":[79],"We":[80,92],"show":[81],"usefulness":[83],"our":[85,94,106],"approach":[86],"using":[87],"plant":[90,126],"images.":[91,127],"compare":[93],"method":[95],"existing":[97],"analysis":[100],"techniques.":[101],"Our":[102],"evaluation":[103],"indicates":[104],"can":[108],"help":[109],"determine":[111],"important":[112],"bands,":[113],"identify":[114],"interest,":[117],"generate":[119],"for":[123]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
