乐胖代购免代理版

{"id":"https://openalex.org/W4311187173","doi":"https://doi.org/10.1109/jstars.2022.3224657","title":"Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing","display_name":"Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4311187173","doi":"https://doi.org/10.1109/jstars.2022.3224657"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3224657","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/09963605.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/09963605.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013301525","display_name":"Iaroslav Koshelev","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Iaroslav Koshelev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001799140","display_name":"Maxim Savinov","orcid":"https://orcid.org/0000-0003-2000-5346"},"institutions":[{"id":"https://openalex.org/I130523015","display_name":"Saint Petersburg State University of Aerospace and Instrumentation","ror":"https://ror.org/02rsxaa93","country_code":"RU","type":"education","lineage":["https://openalex.org/I130523015"]},{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maxim Savinov","raw_affiliation_strings":["Saint Petersburg State University of Aerospace Instrumentation, Saint Petersburg, Russia","Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg State University of Aerospace Instrumentation, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I130523015"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078207302","display_name":"Alexander Menshchikov","orcid":"https://orcid.org/0000-0003-2842-4414"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP","RU"],"is_corresponding":false,"raw_author_name":"Alexander Menshchikov","raw_affiliation_strings":["Rakuten, Tokyo, Japan","Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Rakuten, Tokyo, Japan","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084140816","display_name":"Andrey Somov","orcid":"https://orcid.org/0000-0002-4615-3008"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Somov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250,"provenance":"doaj"},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250,"provenance":"doaj"},"fwci":0.595,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.62869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":83},"biblio":{"volume":"16","issue":null,"first_page":"102","last_page":"111"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9943,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9943,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9938,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9875,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.76153415},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.75115},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.69274163}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.869934},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.76153415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526524},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.75115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.74662566},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.69274163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6719471},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.45431232},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42269173},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13161498},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3224657","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/09963605.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/6aa27ac5f10b426faa513114bbc1c56b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3224657","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/09963605.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2038448037","https://openalex.org/W2085635066","https://openalex.org/W2113283209","https://openalex.org/W2117228865","https://openalex.org/W2194775991","https://openalex.org/W2737250466","https://openalex.org/W2737258237","https://openalex.org/W2776322637","https://openalex.org/W2798542376","https://openalex.org/W2886554959","https://openalex.org/W2890513934","https://openalex.org/W2941883178","https://openalex.org/W2962782553","https://openalex.org/W2963073614","https://openalex.org/W2963145956","https://openalex.org/W2963800363","https://openalex.org/W2963881378","https://openalex.org/W2971848435","https://openalex.org/W2996375266","https://openalex.org/W2998114948","https://openalex.org/W3005863531","https://openalex.org/W3006647860","https://openalex.org/W3011520619","https://openalex.org/W3011612089","https://openalex.org/W3018835489","https://openalex.org/W3033388864","https://openalex.org/W3035883408","https://openalex.org/W3046962509","https://openalex.org/W3087931510","https://openalex.org/W3096008914","https://openalex.org/W3102214643","https://openalex.org/W3131368198","https://openalex.org/W3132455321","https://openalex.org/W4295189614","https://openalex.org/W4295312788","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4386036939","https://openalex.org/W4385497869","https://openalex.org/W4327774218","https://openalex.org/W4312858960","https://openalex.org/W4247925126","https://openalex.org/W4229448053","https://openalex.org/W283587633","https://openalex.org/W2792279927","https://openalex.org/W2059768187","https://openalex.org/W1986643118"],"abstract_inverted_index":{"In":[0],"this":[1,121,156],"article,":[2],"we":[3,158,177],"address":[4],"the":[5,31,34,38,45,50,54,62,71,79,95,109,115,126,130,135,142,146,171,186,195,199,212,220,224,233,237],"problem":[6],"of":[7,33,97,148,164,169,185,219,239],"hogweed":[8],"detection":[9,28,80],"using":[10],"a":[11,89,216,229],"drone":[12,131],"equipped":[13],"with":[14,88,104],"red,":[15],"green,":[16],"blue":[17],"(RGB)":[18],"and":[19,40,173,201],"multispectral":[20,67,111,127,221],"cameras.":[21],"We":[22,57,118],"study":[23,163],"two":[24],"approaches:":[25],"1)":[26],"offline":[27,174],"running":[29],"on":[30,49,70,194,205],"orthophoto":[32,206],"area":[35],"scanned":[36],"within":[37],"mission":[39,226],"2)":[41],"real-time":[42,172],"scanning":[43],"from":[44,64,114,129,198,223],"frame":[46],"stream":[47,197],"directly":[48,113],"edge":[51],"device":[52],"performing":[53],"flight":[55,225],"mission.":[56],"show":[58,119,210],"that":[59,120,211],"by":[60,94,145,227],"fusing":[61],"information":[63],"an":[65,75,98,161],"additional":[66,99],"camera":[68,92,137,200,222],"installed":[69],"drone,":[72],"there":[73],"is":[74,138],"opportunity":[76],"to":[77,107,232],"boost":[78,141],"quality,":[81],"which":[82],"can":[83],"then":[84],"be":[85],"preserved":[86],"even":[87],"single":[90],"RGB":[91,116,136,196],"setup":[93],"introduction":[96],"convolution":[100],"neural":[101],"network":[102,165,235],"trained":[103],"transfer":[105],"learning":[106],"produce":[108],"fake":[110],"images":[112],"stream.":[117],"approach":[122],"helps":[123],"either":[124],"eliminate":[125],"hardware":[128],"or,":[132],"if":[133],"only":[134],"at":[139,179],"hand,":[140],"segmentation":[143,234],"performance":[144,166],"cost":[147],"slight":[149],"increase":[150,182],"in":[151,167,183],"computational":[152],"budget.":[153],"To":[154],"support":[155],"claim,":[157],"have":[159],"performed":[160],"extensive":[162],"simulations":[168],"both":[170],"modes,":[175],"where":[176],"achieve":[178],"least":[180],"1.1%":[181],"terms":[184],"mean":[187],"intersection":[188],"over":[189],"union":[190],"metric":[191],"when":[192,203],"evaluated":[193,204],"1.4%":[202],"data.":[207],"Our":[208],"results":[209],"proper":[213],"optimization":[214],"guarantees":[215],"complete":[217],"elimination":[218],"adding":[228],"preprocessing":[230],"stage":[231],"without":[236],"loss":[238],"quality.":[240]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4311187173","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2024-12-14T02:04:24.832779","created_date":"2022-12-24"}