{"id":"https://openalex.org/W4406116692","doi":"https://doi.org/10.1145/3704323.3704371","title":"A Comparative Analysis of Three Multispectral Images in Classification with Different Methods","display_name":"A Comparative Analysis of Three Multispectral Images in Classification with Different Methods","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4406116692","doi":"https://doi.org/10.1145/3704323.3704371"},"language":"en","primary_location":{"id":"doi:10.1145/3704323.3704371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704323.3704371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","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/A5100352673","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0001-7849-2023"},"institutions":[{"id":"https://openalex.org/I4210148145","display_name":"Jiangxi Academy of Environmental Sciences","ror":"https://ror.org/05kfmjk33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148145"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Chen","raw_affiliation_strings":["College of Computer and Information Engineering, Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China","Jiangxi Key Laboratory of Watershed Soil and Water Conservation, Jiangxi Academy of Water Science and Engineering, Nanchang, China, and"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"Jiangxi Key Laboratory of Watershed Soil and Water Conservation, Jiangxi Academy of Water Science and Engineering, Nanchang, China, and","institution_ids":["https://openalex.org/I4210148145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110170900","display_name":"zhuomiao gao","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Gao","raw_affiliation_strings":["College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104028030","display_name":"Yuejun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148145","display_name":"Jiangxi Academy of Environmental Sciences","ror":"https://ror.org/05kfmjk33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejun Song","raw_affiliation_strings":["Jiangxi Key Laboratory of Watershed Soil and Water Conservation, Jiangxi Academy of Water Science and Engineering, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Key Laboratory of Watershed Soil and Water Conservation, Jiangxi Academy of Water Science and Engineering, Nanchang, China","institution_ids":["https://openalex.org/I4210148145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100352673"],"corresponding_institution_ids":["https://openalex.org/I4210148145","https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37626356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9799000024795532,"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":0.9799000024795532,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9122999906539917,"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/multispectral-image","display_name":"Multispectral image","score":0.8849495649337769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944555044174194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5816525816917419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41677093505859375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41186216473579407}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8849495649337769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944555044174194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816525816917419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41677093505859375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41186216473579407}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704323.3704371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704323.3704371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2031110213","https://openalex.org/W2038781708","https://openalex.org/W2149298154","https://openalex.org/W2283002322","https://openalex.org/W2766178768","https://openalex.org/W2793927960","https://openalex.org/W2911554154","https://openalex.org/W3145752794","https://openalex.org/W3152266611","https://openalex.org/W4307268587","https://openalex.org/W4367624226"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Benefited":[0],"from":[1,80],"the":[2,42,64,81,101,131,135,139,151,156,168,182,192],"increased":[3],"satellite":[4,48],"observations":[5,99],"with":[6,95,199],"medium":[7],"spatial":[8,153],"resolution,":[9],"land":[10,90,196],"use/cover":[11,91,197],"mapping":[12,92,198],"at":[13],"local":[14],"to":[15,40],"global":[16],"scales":[17],"has":[18],"provided":[19],"important":[20],"supports":[21],"for":[22,177],"society":[23],"and":[24,113,138],"academy":[25],"community.":[26],"For":[27],"specific":[28,179],"purposes":[29],"(e.g.,":[30],"disaster":[31],"assessment,":[32],"detecting":[33],"surface":[34],"abrupt":[35],"change),":[36],"it":[37],"is":[38],"needed":[39],"increase":[41],"observation":[43],"frequency,":[44],"through":[45],"combining":[46],"different":[47,200],"sensors":[49],"(i.e.":[50],"as":[51],"virtual":[52],"constellation).":[53],"However,":[54],"many":[55],"factors":[56],"challenge":[57],"this":[58,78],"combination":[59],"in":[60,62,67,124,142,195],"practice,":[61],"which":[63,146],"comparability":[65],"issue":[66,194],"sensor":[68],"settings":[69],"should":[70],"be":[71],"considered":[72],"among":[73,187],"various":[74],"payload":[75],"platforms.":[76],"In":[77],"study,":[79],"perspective":[82],"of":[83,89,106,155,163,173],"practical":[84],"application,":[85],"a":[86,178],"comparative":[87],"analysis":[88],"was":[93,148],"investigated,":[94],"focusing":[96],"on":[97],"three":[98],"by":[100],"Gaofen-1":[102],"(GF-1)":[103],"wide":[104],"field":[105],"view":[107],"(WFV),":[108],"Sentinel-2A":[109],"Multi-Spectral":[110],"Instrument":[111],"(MSI),":[112],"Landsat-8":[114,140,169],"Operational":[115],"Land":[116],"Imager":[117],"(OLI)":[118],"respectively.":[119],"Four":[120],"methods":[121,174],"were":[122],"implemented":[123],"classification":[125,176],"experiments.":[126],"Preliminary":[127],"results":[128],"showed":[129],"that":[130],"Sentinal-2A":[132],"MSI":[133],"outperformed":[134],"GF-1":[136,157],"WFV":[137,158],"OLI":[141],"classification,":[143],"no":[144],"matter":[145],"classifier":[147,185],"considered.":[149],"Meanwhile,":[150],"higher":[152],"resolution":[154],"certainly":[159],"compensated":[160],"its":[161],"lack":[162],"spectral":[164],"channels":[165],"compared":[166],"against":[167],"OLI.":[170],"The":[171],"choice":[172],"affected":[175],"observation,":[180],"while":[181],"more":[183],"suitable":[184],"varied":[186],"sensors.":[188],"This":[189],"study":[190],"underlines":[191],"compatibility":[193],"observations.":[201]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}