{"id":"https://openalex.org/W2793809663","doi":"https://doi.org/10.1109/ipta.2017.8310102","title":"Weeds detection in UAV imagery using SLIC and the hough transform","display_name":"Weeds detection in UAV imagery using SLIC and the hough transform","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2793809663","doi":"https://doi.org/10.1109/ipta.2017.8310102","mag":"2793809663"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"preprint","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/A5049138414","display_name":"Mamadou Dian Bah","orcid":"https://orcid.org/0000-0002-0733-8587"},"institutions":[{"id":"https://openalex.org/I4387154409","display_name":"Laboratoire de Physique et Chimie de l\u2019Environnement et de l\u2019Espace","ror":"https://ror.org/049k66y27","country_code":null,"type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2799535048","https://openalex.org/I4210148025","https://openalex.org/I4387154409"]}],"countries":[],"is_corresponding":true,"raw_author_name":"M. Dian Bah","raw_affiliation_strings":["Laboratoire de Physique et Chimie de l'Environnement et de l'Espace, Orleans, Centre, FR"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Physique et Chimie de l'Environnement et de l'Espace, Orleans, Centre, FR","institution_ids":["https://openalex.org/I4387154409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061197809","display_name":"Adel Hafiane","orcid":"https://orcid.org/0000-0003-3185-9996"},"institutions":[{"id":"https://openalex.org/I4210096782","display_name":"Laboratoire Pluridisciplinaire de Recherche en Ing\u00e9nierie des Syst\u00e8mes, M\u00e9canique et Energ\u00e9tique","ror":"https://ror.org/00sbth994","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]},{"id":"https://openalex.org/I4210143826","display_name":"Institut National des Sciences Appliqu\u00e9es Centre Val de Loire","ror":"https://ror.org/03y0qc033","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210143826"]},{"id":"https://openalex.org/I4210129154","display_name":"Centre Val de Loire","ror":"https://ror.org/03ntmtb29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210129154"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adel Hafiane","raw_affiliation_strings":["PRISME EA 4229, INSA Centre Val de Loire, F45072, Orleans, France"],"affiliations":[{"raw_affiliation_string":"PRISME EA 4229, INSA Centre Val de Loire, F45072, Orleans, France","institution_ids":["https://openalex.org/I4210129154","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068195100","display_name":"Rapha\u00ebl Canals","orcid":"https://orcid.org/0000-0001-9100-7539"},"institutions":[{"id":"https://openalex.org/I4210096782","display_name":"Laboratoire Pluridisciplinaire de Recherche en Ing\u00e9nierie des Syst\u00e8mes, M\u00e9canique et Energ\u00e9tique","ror":"https://ror.org/00sbth994","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]},{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raphael Canals","raw_affiliation_strings":["PRISME EA 4229, University of Orleans, Orleans, France"],"affiliations":[{"raw_affiliation_string":"PRISME EA 4229, University of Orleans, Orleans, France","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210096782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049138414"],"corresponding_institution_ids":["https://openalex.org/I4387154409"],"apc_list":null,"apc_paid":null,"fwci":12.542,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.98247882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9988999962806702,"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":0.9988999962806702,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9965999722480774,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/hough-transform","display_name":"Hough transform","score":0.9100912809371948},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7223116755485535},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.6704089641571045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526918411254883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277292966842651},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5044823884963989},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4725382328033447},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46936967968940735},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.451634019613266},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4425993263721466},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44170358777046204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43004825711250305},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3956840932369232},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22629204392433167},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15549013018608093},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.0817803144454956}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9100912809371948},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7223116755485535},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.6704089641571045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526918411254883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277292966842651},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5044823884963989},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4725382328033447},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46936967968940735},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.451634019613266},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4425993263721466},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44170358777046204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43004825711250305},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3956840932369232},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22629204392433167},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15549013018608093},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0817803144454956},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","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:10.1109/ipta.2017.8310102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03299526v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03299526","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2017, Montreal, Canada. pp.1-6, ⟨10.1109/IPTA.2017.8310102⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W149471462","https://openalex.org/W1564419782","https://openalex.org/W1600079720","https://openalex.org/W2035759078","https://openalex.org/W2041137640","https://openalex.org/W2055186043","https://openalex.org/W2074464158","https://openalex.org/W2080091930","https://openalex.org/W2081286693","https://openalex.org/W2089040011","https://openalex.org/W2091745481","https://openalex.org/W2103476002","https://openalex.org/W2104241941","https://openalex.org/W2118246710","https://openalex.org/W2127879788","https://openalex.org/W2133059825","https://openalex.org/W2136922672","https://openalex.org/W2163450852","https://openalex.org/W2243003515","https://openalex.org/W2394911398","https://openalex.org/W2989983865","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2372868647"],"abstract_inverted_index":{"Traditional":[0],"weeds":[1],"controlling":[2],"tended":[3],"to":[4,89,104],"be":[5],"spraying":[6],"herbicides":[7,20],"in":[8,83,98],"all":[9],"the":[10,52,55,59,66,75,84,111],"fields.":[11],"Such":[12],"method":[13,34,48,94],"not":[14],"only":[15],"requires":[16],"huge":[17],"quantities":[18],"of":[19,35,62,74,78,100,113],"but":[21],"impact":[22],"environment":[23],"and":[24,58,80],"humans":[25],"health.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"a":[32],"new":[33],"crop/weeds":[36],"discrimination":[37],"using":[38],"imagery":[39],"provided":[40],"by":[41,65],"an":[42],"unmanned":[43],"aerial":[44],"vehicle":[45],"(UAV).":[46],"This":[47],"is":[49],"based":[50],"on":[51],"vegetation":[53],"skeleton,":[54],"Hough":[56],"transform":[57],"spatial":[60,76],"relationship":[61,77],"superpixels":[63,79],"created":[64],"simple":[67],"linear":[68],"iterative":[69],"clustering":[70],"(SLIC).":[71],"The":[72],"combination":[73],"their":[81],"positions":[82],"detected":[85],"crop":[86,105,114],"lines":[87,106,115],"allows":[88],"detect":[90],"intraline":[91],"weeds.":[92],"Our":[93],"shows":[95],"its":[96],"robustness":[97],"presence":[99],"weed":[101,118],"patches":[102],"close":[103],"as":[107,109,116],"well":[108],"for":[110,117],"detection":[112],"detection.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}