{"id":"https://openalex.org/W2793309175","doi":"https://doi.org/10.3390/rs10020323","title":"Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning","display_name":"Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning","publication_year":2018,"publication_date":"2018-02-21","ids":{"openalex":"https://openalex.org/W2793309175","doi":"https://doi.org/10.3390/rs10020323","mag":"2793309175"},"language":"en","primary_location":{"id":"doi:10.3390/rs10020323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020323","pdf_url":"https://www.mdpi.com/2072-4292/10/2/323/pdf?version=1519446310","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://www.mdpi.com/2072-4292/10/2/323/pdf?version=1519446310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103138598","display_name":"Sijie Zhu","orcid":"https://orcid.org/0000-0002-0886-196X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Zhu","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Lei","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100560808","display_name":"Yirong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yirong Wu","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of the Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056766372"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.4852,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84500914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"2","first_page":"323","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9919000267982483,"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":0.9894000291824341,"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":0.9075618982315063},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8230456113815308},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7214860916137695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586683988571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562923014163971},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4971661865711212},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.4819195568561554},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.47419053316116333},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.47007256746292114},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4505114257335663},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44637665152549744},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4315554201602936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3615100383758545},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.357339084148407},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11943861842155457},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09427082538604736},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05750206112861633}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9075618982315063},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8230456113815308},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7214860916137695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586683988571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562923014163971},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4971661865711212},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.4819195568561554},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.47419053316116333},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.47007256746292114},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4505114257335663},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44637665152549744},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4315554201602936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3615100383758545},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.357339084148407},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11943861842155457},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09427082538604736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05750206112861633},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs10020323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020323","pdf_url":"https://www.mdpi.com/2072-4292/10/2/323/pdf?version=1519446310","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:mdpi.com:/2072-4292/10/2/323/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10020323","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 2; Pages: 323","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10020323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020323","pdf_url":"https://www.mdpi.com/2072-4292/10/2/323/pdf?version=1519446310","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/G6775118367","display_name":"\u9ad8\u5206\u8fa8\u7387SAR\u6210\u50cf\u8981\u7d20\u5f71\u54cd\u4e0e\u96c6\u6210\u5316\u5904\u7406\u5e73\u53f0","funder_award_id":"61331017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793309175.pdf","grobid_xml":"https://content.openalex.org/works/W2793309175.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W184058938","https://openalex.org/W1495031582","https://openalex.org/W1778870018","https://openalex.org/W1903029394","https://openalex.org/W1912954554","https://openalex.org/W1948751323","https://openalex.org/W1972343529","https://openalex.org/W2007723148","https://openalex.org/W2008771271","https://openalex.org/W2015861736","https://openalex.org/W2022470997","https://openalex.org/W2050917502","https://openalex.org/W2086866337","https://openalex.org/W2107222994","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2132525626","https://openalex.org/W2147867287","https://openalex.org/W2153635508","https://openalex.org/W2155893237","https://openalex.org/W2159913375","https://openalex.org/W2161920802","https://openalex.org/W2163605009","https://openalex.org/W2188767531","https://openalex.org/W2245148488","https://openalex.org/W2308529009","https://openalex.org/W2410591237","https://openalex.org/W4239510810","https://openalex.org/W6607327205"],"related_works":["https://openalex.org/W2412485884","https://openalex.org/W2473382547","https://openalex.org/W2052926689","https://openalex.org/W2024941733","https://openalex.org/W2121661918","https://openalex.org/W2343343867","https://openalex.org/W1525693742","https://openalex.org/W1967031743","https://openalex.org/W1547737723","https://openalex.org/W2016170044"],"abstract_inverted_index":{"Many":[0],"methods":[1],"based":[2,36,74,132],"on":[3,37,75,133],"radiative-transfer":[4],"models":[5,112],"and":[6,72,98,110,115,135,146,155],"empirical":[7],"approaches":[8],"with":[9,105,153],"prior":[10],"knowledge":[11],"have":[12,150],"been":[13],"developed":[14],"for":[15,30,47,82],"the":[16,51,55,69,88,106,111,127,147],"retrieval":[17],"of":[18,33,63,91,129],"hyperspectral":[19,34,124],"surface":[20,52,89],"reflectance.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"propose":[26],"a":[27],"novel":[28],"approach":[29],"atmospheric":[31,99],"correction":[32],"images":[35,92],"machine":[38,43],"learning.":[39],"A":[40],"support":[41],"vector":[42],"(SVM)":[44],"is":[45,80,119],"used":[46],"learning":[48],"to":[49],"predict":[50],"reflectance":[53,90,157],"from":[54,93],"preprocessed":[56,61],"at-sensor":[57,107],"radiance":[58,108],"image.":[59],"The":[60],"spectra":[62,149],"each":[64],"pixel":[65],"are":[66,139],"considered":[67],"as":[68],"spectral":[70,134],"feature":[71,84],"hypercolumn":[73],"convolutional":[76],"neural":[77],"networks":[78],"(CNNs)":[79],"utilized":[81],"spatial":[83,96,136],"extraction.":[85],"After":[86],"training,":[87],"totally":[94],"different":[95],"positions":[97],"conditions":[100],"can":[101],"be":[102],"quickly":[103],"predicted":[104],"image":[109],"trained":[113],"before,":[114],"no":[116],"additional":[117],"metadata":[118],"required.":[120],"On":[121],"an":[122],"AVIRIS":[123,156],"data":[125],"set,":[126],"performances":[128],"our":[130,142],"method,":[131],"features,":[137],"respectively,":[138],"compared.":[140],"Furthermore,":[141],"method":[143],"outperforms":[144],"QUAC,":[145],"retrieved":[148],"good":[151],"agreement":[152],"FLAASH":[154],"products.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2018-03-29T00:00:00"}