{"id":"https://openalex.org/W2766373287","doi":"https://doi.org/10.1109/whispers.2016.8071813","title":"Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method","display_name":"Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766373287","doi":"https://doi.org/10.1109/whispers.2016.8071813","mag":"2766373287"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5102887344","display_name":"Weibo Ma","orcid":"https://orcid.org/0009-0006-4466-8493"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weibo Ma","raw_affiliation_strings":["China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101482958","display_name":"Kun Tan","orcid":"https://orcid.org/0000-0001-6353-0146"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Tan","raw_affiliation_strings":["China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941113","display_name":"Jianwei Ding","orcid":"https://orcid.org/0000-0003-1686-1940"},"institutions":[{"id":"https://openalex.org/I4210090615","display_name":"Hospital of Hebei Province","ror":"https://ror.org/0000yrh61","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210090615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Ding","raw_affiliation_strings":["The Second Surveying and Mapping Institute of Hebei Province, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"The Second Surveying and Mapping Institute of Hebei Province, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210090615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103016266","display_name":"Qingwu Yan","orcid":"https://orcid.org/0000-0003-0839-2152"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwu Yan","raw_affiliation_strings":["China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102887344"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.22449287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8890434503555298},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4644240438938141},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.4489997625350952},{"id":"https://openalex.org/keywords/metal","display_name":"Metal","score":0.4469175934791565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34161555767059326},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3234562873840332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2761722803115845},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24559637904167175},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.23508420586585999},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.10823044180870056}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8890434503555298},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4644240438938141},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.4489997625350952},{"id":"https://openalex.org/C544153396","wikidata":"https://www.wikidata.org/wiki/Q11426","display_name":"Metal","level":2,"score":0.4469175934791565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34161555767059326},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3234562873840332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2761722803115845},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24559637904167175},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.23508420586585999},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.10823044180870056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W964460774","https://openalex.org/W1924290394","https://openalex.org/W1965524806","https://openalex.org/W1992170241","https://openalex.org/W2025857348","https://openalex.org/W2073503722","https://openalex.org/W2080943278","https://openalex.org/W2092310951","https://openalex.org/W2123601622","https://openalex.org/W2140196823","https://openalex.org/W3101477643","https://openalex.org/W6640246690"],"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/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"The":[0,16],"potential":[1],"hazard":[2],"of":[3,19,30,83,115,127],"heavy":[4,27,75,84,128],"metals":[5],"in":[6,73,124],"reclaimed":[7],"mine":[8],"soil":[9,32],"has":[10],"influenced":[11],"on":[12],"the":[13,31,37,64,74,81,91,108,113,125],"human":[14],"health.":[15],"inversion":[17,77,126],"analysis":[18],"hyperspectral":[20,87],"data":[21],"can":[22],"be":[23],"used":[24,93],"to":[25,79],"estimate":[26,80],"metal":[28,76,85],"content":[29,82],"effectively.":[33],"In":[34],"this":[35],"paper,":[36],"characteristic":[38],"bands":[39],"are":[40],"extracted":[41],"by":[42],"spectral":[43],"pretreatment,":[44],"including":[45],"Savitzky-Golay":[46],"(SG),":[47],"Standard":[48],"Normal":[49],"Variety":[50],"(SNV),":[51],"First":[52],"Derivative":[53,56],"(FD),":[54],"Second":[55],"(SD),":[57],"or":[58],"Continuum":[59],"Removal":[60],"(CR)":[61],"etc.":[62],"Then,":[63],"weighted":[65,116],"k-Nearest":[66,104],"Neighbor":[67,105],"(weighted":[68],"k-NN)":[69],"method":[70,106,118],"is":[71],"applied":[72],"modeling":[78],"with":[86,90],"data.":[88],"Compared":[89],"widely":[92],"partial":[94],"least":[95],"squares":[96],"regression":[97],"(PLS),":[98],"support":[99],"vector":[100],"machine":[101],"(SVM)":[102],"and":[103,133],"(k-NN),":[107],"experimental":[109],"results":[110],"shown":[111],"that":[112],"accuracy":[114],"k-NN":[117],"was":[119],"higher":[120],"than":[121],"other":[122],"methods":[123],"Zinc":[129],"(Zn),":[130],"Chromium":[131],"(Cr)":[132],"Plumbum":[134],"(Pb).":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
