{"id":"https://openalex.org/W2585878868","doi":"https://doi.org/10.1109/bigdata.2016.7840723","title":"Learning large-scale plantation mapping from imperfect annotators","display_name":"Learning large-scale plantation mapping from imperfect annotators","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2585878868","doi":"https://doi.org/10.1109/bigdata.2016.7840723","mag":"2585878868"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5001445783","display_name":"Xiaowei Jia","orcid":"https://orcid.org/0000-0001-8544-5233"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaowei Jia","raw_affiliation_strings":["Department of Computer Science, University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016611537","display_name":"Ankush Khandelwal","orcid":"https://orcid.org/0000-0003-1023-5279"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankush Khandelwal","raw_affiliation_strings":["Department of Computer Science, University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019933772","display_name":"James Gerber","orcid":"https://orcid.org/0000-0002-6890-0481"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Gerber","raw_affiliation_strings":["Institute on the Environment, University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"Institute on the Environment, University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035993165","display_name":"Kimberly M. Carlson","orcid":"https://orcid.org/0000-0003-2162-1378"},"institutions":[{"id":"https://openalex.org/I25390106","display_name":"University of Hawaii\u2013West Oahu","ror":"https://ror.org/05radvt19","country_code":"US","type":"education","lineage":["https://openalex.org/I25390106"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kimberly Carlson","raw_affiliation_strings":["Department of Natural Resources and Environmental Management, University of Hawai'i Mānoa"],"affiliations":[{"raw_affiliation_string":"Department of Natural Resources and Environmental Management, University of Hawai'i Mānoa","institution_ids":["https://openalex.org/I25390106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079312439","display_name":"Paul West","orcid":"https://orcid.org/0000-0001-9024-1657"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul West","raw_affiliation_strings":["Institute on the Environment, University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"Institute on the Environment, University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645812","display_name":"Vipin Kumar","orcid":"https://orcid.org/0000-0002-9040-2665"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vipin Kumar","raw_affiliation_strings":["Department of Computer Science, University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001445783"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":2.672,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93746853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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":0.9922999739646912,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9031000137329102,"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/computer-science","display_name":"Computer science","score":0.8599151968955994},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6341358423233032},{"id":"https://openalex.org/keywords/deforestation","display_name":"Deforestation (computer science)","score":0.5964030623435974},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5896582007408142},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5567997097969055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5477655529975891},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5465121865272522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4655255675315857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41391849517822266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8599151968955994},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6341358423233032},{"id":"https://openalex.org/C2777399953","wikidata":"https://www.wikidata.org/wiki/Q2155658","display_name":"Deforestation (computer science)","level":2,"score":0.5964030623435974},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5896582007408142},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5567997097969055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5477655529975891},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5465121865272522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4655255675315857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41391849517822266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1533970595","https://openalex.org/W1541280084","https://openalex.org/W1541505110","https://openalex.org/W1914338220","https://openalex.org/W1938425378","https://openalex.org/W1972675781","https://openalex.org/W1981213426","https://openalex.org/W2013752326","https://openalex.org/W2016023361","https://openalex.org/W2059867072","https://openalex.org/W2095807456","https://openalex.org/W2108745803","https://openalex.org/W2135060975","https://openalex.org/W2135533176","https://openalex.org/W2144372981","https://openalex.org/W2146249080","https://openalex.org/W2150612552","https://openalex.org/W2176488141","https://openalex.org/W2213481152","https://openalex.org/W2549593513","https://openalex.org/W3012595022","https://openalex.org/W3203998685","https://openalex.org/W4249016918","https://openalex.org/W6631885290","https://openalex.org/W6639923552","https://openalex.org/W6676245398","https://openalex.org/W6680102115","https://openalex.org/W6681102160","https://openalex.org/W6681669208","https://openalex.org/W6775700512","https://openalex.org/W6801708263"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W3209574120"],"abstract_inverted_index":{"Plantation":[0],"mapping":[1],"is":[2],"important":[3],"for":[4],"understanding":[5],"deforestation":[6],"and":[7,28,89,141,166,187],"climate":[8],"change.":[9],"Most":[10],"existing":[11,191],"plantation":[12,192],"products":[13],"rely":[14],"heavily":[15],"on":[16],"visual":[17],"interpretation":[18],"of":[19,58,104,113,121,138,155,185],"satellite":[20],"imagery,":[21,91],"which":[22,132],"results":[23],"in":[24,44,162],"both":[25,163],"false":[26,29],"positives":[27],"negatives.":[30],"In":[31,169],"this":[32,62],"paper":[33],"we":[34,64,92,126,151,175],"aim":[35],"to":[36,55,86,98],"design":[37],"an":[38],"automatic":[39],"framework":[40],"that":[41,69,177],"map":[42],"plantations":[43],"large":[45],"regions.":[46],"Conventional":[47],"classification":[48],"methods":[49],"cannot":[50],"be":[51,99],"directly":[52],"applied":[53],"due":[54,85],"the":[56,94,107,110,119,128,153,156,190],"lack":[57],"ground-truth":[59],"data.":[60],"To":[61],"end,":[63],"propose":[65],"a":[66,139,182],"novel":[67],"method":[68,145,158,179],"learns":[70],"from":[71],"multiple":[72,136,160],"imperfect":[73],"annotators.":[74],"Since":[75],"each":[76],"annotator's":[77,95],"labeling":[78],"accuracy":[79],"varies":[80],"across":[81],"different":[82,102],"land":[83,114],"covers":[84,115],"his":[87],"expertise":[88],"reference":[90],"model":[93],"reliability":[96],"level":[97],"associated":[100],"with":[101],"types":[103],"locations.":[105],"On":[106],"other":[108],"hand,":[109],"temporal":[111],"variation":[112],"also":[116],"greatly":[117],"impacts":[118],"performance":[120],"conventional":[122],"learning":[123],"model.":[124],"Therefore":[125],"utilize":[127],"remote":[129],"sensing":[130],"data":[131],"are":[133],"available":[134],"at":[135],"periods":[137],"year":[140],"extend":[142],"our":[143,178],"proposed":[144,157],"by":[146],"incorporating":[147],"multi-instance":[148],"learning.":[149],"Finally,":[150],"show":[152],"superiority":[154],"over":[159],"baselines":[161],"synthetic":[164],"dataset":[165],"real-world":[167],"dataset.":[168],"addition,":[170],"through":[171],"several":[172],"case":[173],"studies":[174],"demonstrate":[176],"can":[180],"achieve":[181],"better":[183],"balance":[184],"precision":[186],"recall":[188],"than":[189],"products.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}