{"id":"https://openalex.org/W4366983118","doi":"https://doi.org/10.3233/jifs-230041","title":"A image fusion and U-Net approach to improving crop planting structure multi-category classification in irrigated area","display_name":"A image fusion and U-Net approach to improving crop planting structure multi-category classification in irrigated area","publication_year":2023,"publication_date":"2023-04-25","ids":{"openalex":"https://openalex.org/W4366983118","doi":"https://doi.org/10.3233/jifs-230041"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230041","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230041","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5100369280","display_name":"Weidong Li","orcid":"https://orcid.org/0000-0002-1774-7800"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Li","raw_affiliation_strings":["Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]},{"raw_affiliation_string":"Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054237680","display_name":"Yongbo Yu","orcid":"https://orcid.org/0009-0001-4549-7503"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbo Yu","raw_affiliation_strings":["Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060592281","display_name":"Fanqian Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanqian Meng","raw_affiliation_strings":["College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036258153","display_name":"Jinlong Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Duan","raw_affiliation_strings":["Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]},{"raw_affiliation_string":"Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008794919","display_name":"Xuehai Zhang","orcid":"https://orcid.org/0000-0001-7734-706X"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehai Zhang","raw_affiliation_strings":["Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]},{"raw_affiliation_string":"Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100369280"],"corresponding_institution_ids":["https://openalex.org/I36152291"],"apc_list":null,"apc_paid":null,"fwci":0.5108,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67918085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"45","issue":"1","first_page":"185","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.8327474594116211},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6128924489021301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5893746018409729},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.48051321506500244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4617829918861389},{"id":"https://openalex.org/keywords/sowing","display_name":"Sowing","score":0.4499054551124573},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44619259238243103},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44531115889549255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.426264226436615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4235788583755493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3893166184425354},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1801990568637848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16835066676139832},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.11342021822929382}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8327474594116211},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6128924489021301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5893746018409729},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.48051321506500244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4617829918861389},{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.4499054551124573},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44619259238243103},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44531115889549255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.426264226436615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4235788583755493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3893166184425354},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1801990568637848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16835066676139832},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.11342021822929382},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230041","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230041","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1630250399","https://openalex.org/W1974981350","https://openalex.org/W2030165874","https://openalex.org/W2056251274","https://openalex.org/W2063907334","https://openalex.org/W2090231298","https://openalex.org/W2104269704","https://openalex.org/W2348504631","https://openalex.org/W2412588858","https://openalex.org/W2412782625","https://openalex.org/W2598551616","https://openalex.org/W2612144337","https://openalex.org/W2612676323","https://openalex.org/W2751694392","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2888268192","https://openalex.org/W2954782146","https://openalex.org/W2955477134","https://openalex.org/W3097763176","https://openalex.org/W3104341624","https://openalex.org/W4214582355","https://openalex.org/W4220868879","https://openalex.org/W6704640119","https://openalex.org/W6765492952","https://openalex.org/W6809941024","https://openalex.org/W6982488606"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2143372509","https://openalex.org/W3007156798"],"abstract_inverted_index":{"Some":[0],"subtle":[1],"features":[2,126],"of":[3,49,124,187,236,243],"planting":[4,37,51,71,171,189],"structures":[5,190],"in":[6,161,233],"irrigation":[7,159],"areas":[8,235],"could":[9],"only":[10],"be":[11],"visible":[12],"on":[13,54],"high-resolution":[14,112],"panchromatic":[15,107],"spectral":[16],"images.":[17],"However,":[18],"low":[19],"spatial":[20],"resolution":[21],"multispectral":[22,79],"image":[23,55,90,114],"makes":[24],"it":[25],"hard":[26],"to":[27,33,105,109,115,135,149],"recognize":[28],"them.":[29],"It":[30],"is":[31],"challenging":[32],"accurately":[34,67],"obtain":[35,110,116,136],"crop":[36,50,70,188,220],"structure":[38,52,72,172],"when":[39],"using":[40],"traditional":[41],"methods.":[42],"This":[43,74],"paper":[44],"proposes":[45],"an":[46,84,168],"extraction":[47],"method":[48,75,214,227],"based":[53],"fusion":[56,113],"and":[57,66,95,102,119,129,142,147,175,182,198,205,224,240],"U-Net":[58,152],"depth":[59],"semantic":[60,153],"segmentation":[61,154],"network,":[62],"which":[63,91],"can":[64],"automatically":[65],"extract":[68],"multi-category":[69],"information.":[73],"takes":[76],"Landsat8":[77],"commercial":[78],"satellite":[80],"data":[81],"set":[82,118],"as":[83,167],"example,":[85,169],"chooses":[86],"RGB":[87],"pseudo-color":[88],"synthetic":[89],"highlights":[92],"vegetation":[93],"characteristics,":[94],"uses":[96],"HLS(Hue,":[97],"Luminance,":[98],"Saturation),":[99],"NND(Nearest-Neighbor":[100],"Diffusion)":[101],"G-S(Gram-Schmidt)":[103],"methods":[104],"fuse":[106],"band":[108],"15m":[111],"training":[117,141],"test":[120],"set,":[121],"six":[122],"types":[123,221],"land":[125],"including":[127],"cities":[128],"rivers":[130],"were":[131],"labeled":[132],"by":[133],"manual":[134],"the":[137,151,157,170,176,199,212,225],"verification":[138],"set.":[139],"The":[140,185,208],"validation":[143],"sets":[144],"are":[145],"cut":[146],"enhanced":[148],"train":[150],"network.":[155],"Taking":[156],"Xiaokaihe":[158],"area":[160],"Binzhou":[162],"City,":[163],"Shandong":[164],"Province,":[165],"China,":[166],"was":[173,179,194,202,215],"classified,":[174],"overall":[177],"accuracy":[178,186],"87.7%,":[180],"91.2%,":[181],"91.3%,":[183],"respectively.":[184,207],"(wheat,":[191,222],"cotton,":[192],"woodland)":[193],"74.2%,":[195],"82.5%,":[196],"82.3%,":[197],"Kappa":[200],"coefficient":[201],"0.832,":[203],"0.880,":[204],"0.881,":[206],"results":[209],"showed":[210],"that":[211],"NND-UNet":[213],"suitable":[216],"for":[217],"large-scale":[218],"continuous":[219],"cotton),":[223],"GS-UNet":[226],"had":[228],"a":[229],"better":[230],"classification":[231],"effect":[232],"discrete":[234],"cash":[237],"crops":[238],"(Jujube":[239],"many":[241],"kinds":[242],"fruit":[244],"trees).":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}