{"id":"https://openalex.org/W4402218451","doi":"https://doi.org/10.1109/agro-geoinformatics262780.2024.10660904","title":"Chlorophyll a inversion algorithm and algae classification technique based on hyperspectral data","display_name":"Chlorophyll a inversion algorithm and algae classification technique based on hyperspectral data","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402218451","doi":"https://doi.org/10.1109/agro-geoinformatics262780.2024.10660904"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics262780.2024.10660904","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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/A5102061221","display_name":"Chengqi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengqi Huang","raw_affiliation_strings":["Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100826542","display_name":"Shiyou Xu","orcid":"https://orcid.org/0000-0002-4235-7986"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyou Xu","raw_affiliation_strings":["Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034137121","display_name":"Ran Bi","orcid":"https://orcid.org/0000-0003-2182-9136"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Bi","raw_affiliation_strings":["Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102481996","display_name":"Binbin Jiang","orcid":"https://orcid.org/0000-0003-4099-3302"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Jiang","raw_affiliation_strings":["Zhejiang University Science and Technology,School of Mechanical and Automotive Engineering,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University Science and Technology,School of Mechanical and Automotive Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015961162","display_name":"Yong Du","orcid":"https://orcid.org/0000-0003-1864-8326"},"institutions":[{"id":"https://openalex.org/I4210126248","display_name":"Jiyang College of Zhejiang A&F University","ror":"https://ror.org/032sv9d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Du","raw_affiliation_strings":["Zhejiang A & F University,College of Jiyang,Zhuji,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang A & F University,College of Jiyang,Zhuji,China","institution_ids":["https://openalex.org/I4210126248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452337","display_name":"Hui Ma","orcid":"https://orcid.org/0000-0001-9662-0447"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ma","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662557","display_name":"Xiaoyu Zhang","orcid":"https://orcid.org/0000-0003-1436-8116"},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhang","raw_affiliation_strings":["Hainan Institute, Zhejiang University,Sanya,China"],"affiliations":[{"raw_affiliation_string":"Hainan Institute, Zhejiang University,Sanya,China","institution_ids":["https://openalex.org/I4210149102","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027794673","display_name":"Ran Liao","orcid":"https://orcid.org/0000-0002-3088-2230"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Liao","raw_affiliation_strings":["Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Institute for Ocean Engineering Shenzhen International Graduate School, Tsinghua University,Shenzhen Key Laboratory of Marine IntelliSense and Computation,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102061221"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2973,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59696231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9832000136375427,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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":0.8911646604537964},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6203415393829346},{"id":"https://openalex.org/keywords/algae","display_name":"Algae","score":0.5885076522827148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5118071436882019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46431633830070496},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4378148317337036},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41312891244888306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37311285734176636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34733062982559204},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2237096130847931},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.19643482565879822},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10452833771705627}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8911646604537964},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6203415393829346},{"id":"https://openalex.org/C559758991","wikidata":"https://www.wikidata.org/wiki/Q37868","display_name":"Algae","level":2,"score":0.5885076522827148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5118071436882019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46431633830070496},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4378148317337036},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41312891244888306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37311285734176636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34733062982559204},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2237096130847931},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.19643482565879822},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10452833771705627},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics262780.2024.10660904","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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":11,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1689711448","https://openalex.org/W1972501007","https://openalex.org/W2037236246","https://openalex.org/W2098676252","https://openalex.org/W2130817706","https://openalex.org/W2513884524","https://openalex.org/W2517463731","https://openalex.org/W2890096158","https://openalex.org/W3011586568","https://openalex.org/W3012215621"],"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":{"Accurate":[0],"monitoring":[1,176],"and":[2,21,40,50,67,87,144,170,177],"classification":[3],"of":[4,12,105,140],"algal":[5],"species,":[6,31],"as":[7,9],"well":[8],"the":[10,48,79,103,136],"estimation":[11],"chlorophyll-a":[13,71,106,116,146],"concentration,":[14],"are":[15],"crucial":[16],"for":[17,173],"assessing":[18],"water":[19,36,174],"quality":[20,175],"managing":[22],"aquatic":[23,38,162,179],"ecosystems.":[24],"Algal":[25],"blooms,":[26],"particularly":[27],"those":[28],"involving":[29],"toxic":[30],"pose":[32],"significant":[33,159],"threats":[34],"to":[35,53,61,70,150],"resources,":[37],"life,":[39],"human":[41],"health.":[42],"Traditional":[43],"remote":[44,163],"sensing":[45,164],"methods":[46],"lack":[47],"precision":[49],"specificity":[51],"needed":[52],"address":[54],"these":[55],"challenges":[56],"effectively.":[57],"This":[58,155],"study":[59,113],"aims":[60],"develop":[62],"a":[63,125,158,167],"more":[64,168],"accurate,":[65],"flexible,":[66],"comprehensive":[68],"approach":[69,134],"concentration":[72,107],"inversion":[73],"using":[74],"hyperspectral":[75,85],"data":[76,86],"By":[77],"leveraging":[78],"rich":[80],"spectral":[81],"information":[82],"provided":[83],"by":[84],"combining":[88],"Long":[89],"Short-Term":[90],"Memory":[91],"(LSTM)":[92],"networks":[93],"with":[94],"one-dimensional":[95],"Convolutional":[96],"Neural":[97],"Networks":[98],"(1D-CNN),":[99],"we":[100],"significantly":[101],"improve":[102],"accuracy":[104],"inversion.":[108],"Preliminary":[109],"measurements":[110],"in":[111,161],"our":[112],"area":[114],"showed":[115],"concentrations":[117,147],"exceeding":[118],"$30":[119],"\\mu":[120],"\\mathrm{g}":[121],"/":[122],"\\mathrm{L}$,":[123],"indicating":[124],"eutrophic":[126],"state.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"this":[132],"combined":[133],"enhances":[135],"${\\mathrm":[137],"{R}}^{2}$":[138],"Coefficient":[139],"Determination)":[141],"between":[142],"predicted":[143],"actual":[145],"from":[148],"0.71":[149],"0.94,":[151],"outperforming":[152],"traditional":[153],"models.":[154],"advancement":[156],"indicates":[157],"improvement":[160],"technology,":[165],"providing":[166],"precise":[169],"reliable":[171],"method":[172],"understanding":[178],"ecosystem":[180],"dynamics.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}