{"id":"https://openalex.org/W4388615889","doi":"https://doi.org/10.1080/17538947.2023.2279671","title":"Research on near-ground forage hyperspectral imagery classification based on fusion preprocessing process","display_name":"Research on near-ground forage hyperspectral imagery classification based on fusion preprocessing process","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4388615889","doi":"https://doi.org/10.1080/17538947.2023.2279671"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2023.2279671","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2279671","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2023.2279671","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048193242","display_name":"Yilei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilei Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606630","display_name":"Xin Pan","orcid":"https://orcid.org/0000-0002-0093-5143"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Pan","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066415307","display_name":"Jiangping Liu","orcid":"https://orcid.org/0009-0005-8100-0938"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangping Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742996","display_name":"Shengwei Zhang","orcid":"https://orcid.org/0000-0001-9153-4398"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengwei Zhang","raw_affiliation_strings":["College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, People\u2019s Republic of China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, People's Republic of China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109877736","display_name":"Weihong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156847","display_name":"Institute of Grassland Research","ror":"https://ror.org/04vmpjr08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987","https://openalex.org/I4210156847"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Yan","raw_affiliation_strings":["Institute of Grassland Research of CAAS, Hohhot, People\u2019s Republic of China","Institute of Grassland Research of CAAS, Hohhot, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Institute of Grassland Research of CAAS, Hohhot, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210156847"]},{"raw_affiliation_string":"Institute of Grassland Research of CAAS, Hohhot, People's Republic of China","institution_ids":["https://openalex.org/I4210156847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066415307","https://openalex.org/A5100606630"],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.915,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69716484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"4707","last_page":"4725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9958999752998352,"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":0.9958999752998352,"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/T10616","display_name":"Smart Agriculture and AI","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7475061416625977},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6825809478759766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606258153915405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5894747376441956},{"id":"https://openalex.org/keywords/forage","display_name":"Forage","score":0.5649558305740356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467026829719543},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5310502648353577},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4820040762424469},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46649977564811707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3917122185230255},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3757586181163788},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18907487392425537}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7475061416625977},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6825809478759766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606258153915405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5894747376441956},{"id":"https://openalex.org/C2779370140","wikidata":"https://www.wikidata.org/wiki/Q13377214","display_name":"Forage","level":2,"score":0.5649558305740356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467026829719543},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5310502648353577},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4820040762424469},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46649977564811707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3917122185230255},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3757586181163788},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18907487392425537},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2023.2279671","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2279671","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:013d68d73af14235870bc1df11da9f5f","is_oa":true,"landing_page_url":"https://doaj.org/article/013d68d73af14235870bc1df11da9f5f","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":"International Journal of Digital Earth, Vol 16, Iss 2, Pp 4707-4725 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2023.2279671","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2279671","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3880295615","display_name":null,"funder_award_id":"61962048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6465982131","display_name":null,"funder_award_id":"52079063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6725329516","display_name":null,"funder_award_id":"61562067","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":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2511832009","https://openalex.org/W2618530766","https://openalex.org/W2795273339","https://openalex.org/W2888214130","https://openalex.org/W2888268192","https://openalex.org/W2914169501","https://openalex.org/W2940513807","https://openalex.org/W2978789560","https://openalex.org/W2981301710","https://openalex.org/W3046002912","https://openalex.org/W3046425751","https://openalex.org/W3118700258","https://openalex.org/W3119502086","https://openalex.org/W3124739931","https://openalex.org/W3147702135","https://openalex.org/W3153200650","https://openalex.org/W3159720726","https://openalex.org/W3171406516","https://openalex.org/W3198975434","https://openalex.org/W3199847591","https://openalex.org/W3207325959","https://openalex.org/W4210754845","https://openalex.org/W4210791256","https://openalex.org/W4220820507","https://openalex.org/W4220950987","https://openalex.org/W4221085916","https://openalex.org/W4225324717","https://openalex.org/W4229066610","https://openalex.org/W4280536307","https://openalex.org/W4281254921","https://openalex.org/W4283641207","https://openalex.org/W4289780755","https://openalex.org/W4292565329","https://openalex.org/W4293664180","https://openalex.org/W4294151519","https://openalex.org/W4295973418","https://openalex.org/W4296325362","https://openalex.org/W4300865520","https://openalex.org/W4303968625","https://openalex.org/W4308446478","https://openalex.org/W4313511291","https://openalex.org/W4321375223","https://openalex.org/W4361214862","https://openalex.org/W4362472226","https://openalex.org/W4366828177","https://openalex.org/W4379536383","https://openalex.org/W4382370835","https://openalex.org/W4385276671","https://openalex.org/W6906549577"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"ABSTRACTAccurate":[0],"identification":[1,25],"and":[2,13,26,28,64,72,76,102,110,119,127,133,169,173,187],"classification":[3,196],"of":[4,31,50,59,92,139,167,181,190,198],"forage":[5,11,16,23,60],"grass":[6],"are":[7,171],"pivotal":[8],"in":[9,22,61],"optimizing":[10],"resources":[12],"breeding":[14],"superior":[15],"varieties.":[17],"Given":[18],"the":[19,29,47,62,88,93,122,125,137,140,144,165,179,185,188,191,195],"low":[20],"accuracy":[21,154,157],"image":[24],"classification,":[27],"loss":[30],"some":[32],"features":[33],"from":[34],"preprocessing,":[35],"we":[36],"proposed":[37,141],"an":[38],"innovative":[39],"approach":[40,115],"that":[41],"integrates":[42],"preprocessing":[43,183],"operations":[44],"directly":[45],"into":[46,184],"model":[48],"instead":[49],"preceding":[51],"feature":[52],"analysis.":[53],"We":[54,135],"captured":[55],"near-ground":[56],"hyperspectral":[57],"imagery":[58],"field":[63],"applied":[65],"two":[66],"deep":[67,95],"learning":[68,90],"models":[69,84],"\u2013":[70],"Squeeze":[71],"Excitation":[73],"ResNet":[74,81,94],"(SEResNet)":[75],"Convolution":[77],"Block":[78],"Attention":[79],"Module":[80],"(CBAMResNet).":[82],"These":[83],"not":[85],"only":[86],"harness":[87],"automatic":[89],"capabilities":[91],"network":[96,186],"but":[97],"also":[98],"employ":[99],"channel":[100,126],"attention":[101,106],"a":[103],"channel-plus-space":[104],"dual":[105],"mechanism":[107],"to":[108],"filter":[109],"label":[111],"important":[112],"features.":[113],"This":[114],"enhances":[116],"data":[117],"extraction":[118],"analysis,":[120],"strengthen":[121],"correlation":[123],"between":[124],"space":[128],"dimensions":[129],"while":[130],"eliminating":[131],"redundancy":[132],"noise.":[134],"compared":[136],"performance":[138],"methods":[142,147],"with":[143],"current":[145],"popular":[146],"by":[148],"six":[149],"evaluation":[150],"parameters,":[151],"including":[152],"overall":[153],"(OA),":[155],"average":[156],"(AA),":[158],"Kappa":[159],"coefficient,":[160],"etc.":[161],"Experiment":[162],"results":[163],"show":[164],"OA":[166],"SEResNet":[168],"CBAMResNet":[170],"96.57%":[172],"98.35%":[174],"respectively.":[175],"The":[176],"experiments":[177],"demonstrate":[178],"feasibility":[180],"incorporating":[182],"effectiveness":[189],"new":[192],"idea":[193],"for":[194],"research":[197],"forage.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}