{"id":"https://openalex.org/W4402312633","doi":"https://doi.org/10.3390/rs16173315","title":"Collection of a Hyperspectral Atmospheric Cloud Dataset and Enhancing Pixel Classification through Patch-Origin Embedding","display_name":"Collection of a Hyperspectral Atmospheric Cloud Dataset and Enhancing Pixel Classification through Patch-Origin Embedding","publication_year":2024,"publication_date":"2024-09-06","ids":{"openalex":"https://openalex.org/W4402312633","doi":"https://doi.org/10.3390/rs16173315"},"language":"en","primary_location":{"id":"doi:10.3390/rs16173315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173315","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs16173315","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059400329","display_name":"Hua Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hua Yan","raw_affiliation_strings":["Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071678137","display_name":"Rachel Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rachel Zheng","raw_affiliation_strings":["Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113371240","display_name":"Shivaji Mallela","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivaji Mallela","raw_affiliation_strings":["Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039131807","display_name":"Randy Russell","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randy Russell","raw_affiliation_strings":["Department of Chemistry, Auburn University at Montgomery, Montgomery, AL 36117, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, Auburn University at Montgomery, Montgomery, AL 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075935061","display_name":"Olcay Kur\u015fun","orcid":"https://orcid.org/0000-0001-7153-2061"},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olcay Kursun","raw_affiliation_strings":["Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Information Systems, Auburn University at Montgomery, Montgomery, AL 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059400329"],"corresponding_institution_ids":["https://openalex.org/I902671590"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3383,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63400859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"17","first_page":"3315","last_page":"3315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9973999857902527,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.793319821357727},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5964391231536865},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.575350821018219},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46602320671081543},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46091797947883606},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.43042343854904175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3878997564315796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30863940715789795},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23171523213386536}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.793319821357727},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5964391231536865},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.575350821018219},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46602320671081543},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46091797947883606},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.43042343854904175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3878997564315796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30863940715789795},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23171523213386536},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16173315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173315","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:07c086ac63244ffcbfaf0f7f953a6a2b","is_oa":true,"landing_page_url":"https://doaj.org/article/07c086ac63244ffcbfaf0f7f953a6a2b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 17, p 3315 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16173315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173315","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6085305126","display_name":null,"funder_award_id":"2003740","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2059834569","https://openalex.org/W2097750168","https://openalex.org/W2148349024","https://openalex.org/W2149933564","https://openalex.org/W2314456190","https://openalex.org/W2884367402","https://openalex.org/W2891371927","https://openalex.org/W2907059276","https://openalex.org/W2911964244","https://openalex.org/W2928182459","https://openalex.org/W2998768810","https://openalex.org/W3026905253","https://openalex.org/W3034330308","https://openalex.org/W3075397214","https://openalex.org/W3133557063","https://openalex.org/W4324142429","https://openalex.org/W4393146239","https://openalex.org/W6665665148","https://openalex.org/W6754600013"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2119567889"],"abstract_inverted_index":{"Hyperspectral":[0],"cameras":[1],"collect":[2],"detailed":[3],"spectral":[4,19,60,70,192,237],"information":[5,164,238],"at":[6],"each":[7,84,111,114,130,166,183],"image":[8,15,88],"pixel,":[9],"contributing":[10],"to":[11,26,65,106,157,194,206,211,220],"the":[12,93,144,179,189,208,212,221,231,236,244],"identification":[13],"of":[14,21,32,43,72,117,127,135,182,225],"features.":[16],"The":[17,54,170,216,251],"rich":[18],"content":[20],"hyperspectral":[22,44,81,241,248],"imagery":[23],"has":[24],"led":[25],"its":[27],"application":[28],"in":[29,240,247],"diverse":[30],"fields":[31],"study.":[33],"This":[34,122],"study":[35],"focused":[36],"on":[37,255],"cloud":[38,137,249],"classification":[39,159,245],"using":[40,58],"a":[41,49,69,85,118,125,203],"dataset":[42,77,252],"sky":[45,139],"images":[46,57,82,242],"captured":[47],"by":[48,103,161,174],"Resonon":[50],"PIKA":[51],"XC2":[52],"camera.":[53],"camera":[55],"records":[56],"462":[59],"bands,":[61],"ranging":[62],"from":[63,110],"400":[64],"1000":[66],"nm,":[67],"with":[68,188,235],"resolution":[71],"1.9":[73],"nm.":[74],"Our":[75],"preliminary/unlabeled":[76],"comprised":[78],"33":[79],"parent":[80,112],"(HSI),":[83],"substantial":[86],"unlabeled":[87],"measuring":[89],"4402-by-1600":[90],"pixels.":[91],"With":[92],"meteorological":[94],"expertise":[95],"within":[96],"our":[97],"team,":[98],"we":[99,152],"manually":[100],"labeled":[101,132],"pixels":[102],"extracting":[104],"10":[105],"20":[107],"sample":[108],"patches":[109],"image,":[113],"patch":[115],"consisting":[116],"50-by-50":[119],"pixel":[120],"field.":[121],"process":[123],"yielded":[124],"collection":[126],"444":[128],"patches,":[129],"categorically":[131],"into":[133,165],"one":[134],"seven":[136,213],"and":[138],"condition":[140],"categories.":[141,215],"To":[142],"embed":[143],"inherent":[145,239],"data":[146,193],"structure":[147],"while":[148],"classifying":[149],"individual":[150],"pixels,":[151],"introduced":[153],"an":[154,196],"innovative":[155],"technique":[156],"boost":[158],"accuracy":[160,246],"incorporating":[162,230],"patch-specific":[163],"pixel\u2019s":[167,190],"feature":[168,198],"vector.":[169,199],"posterior":[171],"probabilities":[172],"generated":[173],"these":[175],"classifiers,":[176],"which":[177],"capture":[178],"unique":[180],"attributes":[181],"patch,":[184],"were":[185],"subsequently":[186],"concatenated":[187],"original":[191],"form":[195],"augmented":[197,209],"We":[200],"then":[201],"applied":[202],"final":[204],"classifier":[205],"map":[207],"vectors":[210],"cloud/sky":[214],"results":[217],"compared":[218],"favorably":[219],"baseline":[222],"model":[223],"devoid":[224],"patch-origin":[226],"embedding,":[227],"showing":[228],"that":[229],"spatial":[232],"context":[233],"along":[234],"enhances":[243],"classification.":[250],"is":[253],"available":[254],"IEEE":[256],"DataPort.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}