{"id":"https://openalex.org/W4386597185","doi":"https://doi.org/10.1109/icip49359.2023.10222588","title":"WCANet: Wavelet Channel Attention Network for Citrus Variety Identification","display_name":"WCANet: Wavelet Channel Attention Network for Citrus Variety Identification","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597185","doi":"https://doi.org/10.1109/icip49359.2023.10222588"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222588","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222588","pdf_url":"https://ieeexplore.ieee.org/ielx7/10221937/10221892/10222588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10221937/10221892/10222588.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062946377","display_name":"Fukai Zhang","orcid":"https://orcid.org/0000-0002-7378-3478"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I4210100403","display_name":"Citrus Research Institute","ror":"https://ror.org/00mc9zb90","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100403","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fukai Zhang","raw_affiliation_strings":["Southwest University,Citrus Research Institute,Chongqing,China","Citrus Research Institute, Southwest University, Chongqing, China","National Citrus Engineering Research Center, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Citrus Research Institute,Chongqing,China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]},{"raw_affiliation_string":"Citrus Research Institute, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]},{"raw_affiliation_string":"National Citrus Engineering Research Center, Chongqing, China","institution_ids":["https://openalex.org/I4210100403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011077051","display_name":"Xiaobo Jin","orcid":"https://orcid.org/0000-0003-1671-1379"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Jin","raw_affiliation_strings":["Xi’an Jiaotong-Liverpool University,Department of Intelligence Science,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong-Liverpool University,Department of Intelligence Science,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102014634","display_name":"Jie Jiang","orcid":"https://orcid.org/0009-0007-3377-3033"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I4210100403","display_name":"Citrus Research Institute","ror":"https://ror.org/00mc9zb90","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100403","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["Southwest University,Citrus Research Institute,Chongqing,China","Citrus Research Institute, Southwest University, Chongqing, China","National Citrus Engineering Research Center, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Citrus Research Institute,Chongqing,China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]},{"raw_affiliation_string":"Citrus Research Institute, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]},{"raw_affiliation_string":"National Citrus Engineering Research Center, Chongqing, China","institution_ids":["https://openalex.org/I4210100403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021902921","display_name":"Shan An","orcid":"https://orcid.org/0000-0001-7796-6952"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan An","raw_affiliation_strings":["JD Health International Inc.,Beijing,China","JD Health International Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Health International Inc.,Beijing,China","institution_ids":["https://openalex.org/I4210103986"]},{"raw_affiliation_string":"JD Health International Inc., Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061252858","display_name":"Qiang Lyu","orcid":"https://orcid.org/0000-0003-2371-835X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I4210100403","display_name":"Citrus Research Institute","ror":"https://ror.org/00mc9zb90","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100403","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Lyu","raw_affiliation_strings":["Southwest University,Citrus Research Institute,Chongqing,China","National Citrus Engineering Research Center, Chongqing, China","Citrus Research Institute, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Citrus Research Institute,Chongqing,China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]},{"raw_affiliation_string":"National Citrus Engineering Research Center, Chongqing, China","institution_ids":["https://openalex.org/I4210100403"]},{"raw_affiliation_string":"Citrus Research Institute, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062946377"],"corresponding_institution_ids":["https://openalex.org/I142108993","https://openalex.org/I4210100403"],"apc_list":null,"apc_paid":null,"fwci":0.4118,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77907798,"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":"2845","last_page":"2849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9976999759674072,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9646000266075134,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9610000252723694,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592864036560059},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6553652882575989},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6232279539108276},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6076686382293701},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5699316263198853},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.54514479637146},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5451086163520813},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5003666877746582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000441074371338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46315234899520874},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4497603178024292},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4452876150608063},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44300544261932373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4286264479160309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13276633620262146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06489089131355286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592864036560059},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6553652882575989},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6232279539108276},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6076686382293701},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5699316263198853},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.54514479637146},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5451086163520813},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5003666877746582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000441074371338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46315234899520874},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4497603178024292},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4452876150608063},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44300544261932373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4286264479160309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13276633620262146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06489089131355286},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222588","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222588","pdf_url":"https://ieeexplore.ieee.org/ielx7/10221937/10221892/10222588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icip49359.2023.10222588","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222588","pdf_url":"https://ieeexplore.ieee.org/ielx7/10221937/10221892/10222588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386597185.pdf","grobid_xml":"https://content.openalex.org/works/W4386597185.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1522301498","https://openalex.org/W2132984323","https://openalex.org/W2194775991","https://openalex.org/W2579318141","https://openalex.org/W2752782242","https://openalex.org/W2891951760","https://openalex.org/W2962858109","https://openalex.org/W2963111219","https://openalex.org/W2963407932","https://openalex.org/W2964231884","https://openalex.org/W2981408784","https://openalex.org/W2986821660","https://openalex.org/W3034552520","https://openalex.org/W3035006120","https://openalex.org/W3035502324","https://openalex.org/W3092342077","https://openalex.org/W3107032263","https://openalex.org/W3108870912","https://openalex.org/W4214666412","https://openalex.org/W4286007445","https://openalex.org/W4318148011","https://openalex.org/W6631190155","https://openalex.org/W6638444622","https://openalex.org/W6748455662"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2077021924"],"abstract_inverted_index":{"The":[0],"effective":[1],"fine-grained":[2,31,51],"identification":[3,32],"of":[4,16,33,50,54,65,90],"citrus":[5,17,34,55],"varieties":[6,56],"plays":[7],"a":[8,59],"vital":[9],"role":[10],"in":[11],"the":[12,48,88,102,105],"differential":[13],"production":[14],"management":[15],"orchards.":[18],"To":[19],"our":[20],"knowledge,":[21],"there":[22],"are":[23],"few":[24],"studies":[25],"and":[26,57,78,115],"publicly":[27],"available":[28],"datasets":[29],"on":[30,110],"varieties.":[35],"In":[36],"this":[37],"study,":[38],"we":[39],"propose":[40],"Wavelet":[41],"Channel":[42],"Attention":[43],"Network":[44],"(WCANet)":[45],"to":[46,74,81],"solve":[47],"problem":[49],"visual":[52],"classification":[53],"create":[58],"Citrus":[60],"Variety":[61],"Dataset":[62],"(CVD)":[63],"consisting":[64],"tree":[66],"canopy":[67],"images.":[68],"WCANet":[69,103],"combines":[70],"global":[71,76],"average":[72],"pooling":[73],"extract":[75],"features":[77],"wavelet":[79],"transform":[80],"capture":[82],"local":[83],"features,":[84],"which":[85],"greatly":[86],"improves":[87],"capability":[89],"channel":[91],"attention":[92],"modules":[93],"for":[94],"multi-scale":[95],"feature":[96],"extraction.":[97],"Experimental":[98],"results":[99],"demonstrate":[100],"that":[101],"outperforms":[104],"state-of-the-art":[106],"confidence":[107],"estimation":[108],"approaches":[109],"various":[111],"benchmarks.":[112],"Our":[113],"code":[114],"dataset":[116],"will":[117],"be":[118],"open-sourced":[119],"at":[120],"https://github.com/fightero/WCANet.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}