{"id":"https://openalex.org/W4304172361","doi":"https://doi.org/10.3390/rs14195064","title":"PODD: A Dual-Task Detection for Greenhouse Extraction Based on Deep Learning","display_name":"PODD: A Dual-Task Detection for Greenhouse Extraction Based on Deep Learning","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304172361","doi":"https://doi.org/10.3390/rs14195064"},"language":"en","primary_location":{"id":"doi:10.3390/rs14195064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195064","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5064/pdf?version=1665540583","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/19/5064/pdf?version=1665540583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041244231","display_name":"Junning Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junning Feng","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103039484","display_name":"Dongliang Wang","orcid":"https://orcid.org/0000-0002-1377-8394"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongliang Wang","raw_affiliation_strings":["Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346607","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-1157-8719"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017130874","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0001-8804-7150"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Huang","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626328","display_name":"Minghao Wang","orcid":"https://orcid.org/0000-0002-6587-8784"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Wang","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085526915","display_name":"Mengfan Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengfan Tao","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642663","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-2585-9984"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103039484"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8949,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86360217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"19","first_page":"5064","last_page":"5064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9966999888420105,"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":0.9966999888420105,"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":0.991599977016449,"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":0.9587000012397766,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134661078453064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5789145827293396},{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.514225959777832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4990847110748291},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4911486804485321},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4721543788909912},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42024314403533936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39841926097869873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3541802167892456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08726900815963745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134661078453064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5789145827293396},{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.514225959777832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4990847110748291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4911486804485321},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4721543788909912},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42024314403533936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39841926097869873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3541802167892456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08726900815963745},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":3,"locations":[{"id":"doi:10.3390/rs14195064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195064","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5064/pdf?version=1665540583","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:334102454fde4fccaff18aba4fbe4a77","is_oa":true,"landing_page_url":"https://doaj.org/article/334102454fde4fccaff18aba4fbe4a77","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 5064 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/5064/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14195064","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 19; Pages: 5064","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14195064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195064","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5064/pdf?version=1665540583","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.75}],"awards":[{"id":"https://openalex.org/G6438152312","display_name":null,"funder_award_id":"41501416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304172361.pdf","grobid_xml":"https://content.openalex.org/works/W4304172361.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2006671753","https://openalex.org/W2011500029","https://openalex.org/W2022426279","https://openalex.org/W2093072860","https://openalex.org/W2136783177","https://openalex.org/W2149933564","https://openalex.org/W2161236525","https://openalex.org/W2162423745","https://openalex.org/W2194775991","https://openalex.org/W2280567249","https://openalex.org/W2385600059","https://openalex.org/W2394144777","https://openalex.org/W2412782625","https://openalex.org/W2512351403","https://openalex.org/W2531409750","https://openalex.org/W2601221592","https://openalex.org/W2619764957","https://openalex.org/W2787630273","https://openalex.org/W2884585870","https://openalex.org/W2962834855","https://openalex.org/W2963163009","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2972221779","https://openalex.org/W2972321769","https://openalex.org/W2981719849","https://openalex.org/W2987761193","https://openalex.org/W2990014820","https://openalex.org/W2990325088","https://openalex.org/W2992308087","https://openalex.org/W2999628870","https://openalex.org/W3010117152","https://openalex.org/W3031234895","https://openalex.org/W3082823908","https://openalex.org/W3088431851","https://openalex.org/W3089814003","https://openalex.org/W3130243655","https://openalex.org/W3202003977","https://openalex.org/W3211470439","https://openalex.org/W4405617327","https://openalex.org/W6774510675"],"related_works":["https://openalex.org/W234340964","https://openalex.org/W4309832218","https://openalex.org/W2166797008","https://openalex.org/W3039676608","https://openalex.org/W3193919099","https://openalex.org/W2351877779","https://openalex.org/W2960233689","https://openalex.org/W2364328341","https://openalex.org/W2916988783","https://openalex.org/W2352198611"],"abstract_inverted_index":{"The":[0,133],"rapid":[1],"boom":[2],"of":[3,89,103,135,143,146,165,180,218,244,261],"the":[4,19,51,83,87,101,108,141,158,166,173,178,185,214,219,232,237,240,245,257,262,265,275],"global":[5],"population":[6],"is":[7,22,46,79,119],"causing":[8],"more":[9,153],"severe":[10],"food":[11,43],"supply":[12],"problems.":[13],"To":[14,34],"deal":[15],"with":[16,121],"these":[17],"problems,":[18],"agricultural":[20,28,37,52,90,104,181,282,295],"greenhouse":[21,53,283],"an":[23],"effective":[24],"way":[25],"to":[26,41,48,81,151,171,293],"increase":[27,172],"production":[29],"within":[30],"a":[31,61,192],"limited":[32],"space.":[33],"better":[35],"guide":[36,294],"activities":[38],"and":[39,55,67,76,85,127,202,216,225,228,242,250,253,270,288],"respond":[40],"future":[42],"crises,":[44],"it":[45],"important":[47,154],"obtain":[49],"both":[50],"area":[54,88,179],"quantity":[56,84,102,287],"distribution.":[57],"In":[58],"this":[59],"study,":[60],"novel":[62],"dual-task":[63,266],"algorithm":[64,99,176,267,277],"called":[65],"Pixel-based":[66],"Object-based":[68],"Dual-task":[69],"Detection":[70],"(PODD)":[71],"that":[72,213,274],"combines":[73],"object":[74],"detection":[75],"semantic":[77],"segmentation":[78],"proposed":[80],"estimate":[82],"extract":[86],"greenhouses":[91,105,182],"based":[92,106,183],"on":[93,107,184],"RGB":[94],"remote":[95],"sensing":[96],"images.":[97],"This":[98,175],"obtains":[100,177],"improved":[109,220],"You":[110],"Only":[111],"Look":[112],"Once":[113],"X":[114],"(YOLOX)":[115],"network":[116,188,222,247],"structure,":[117],"which":[118,196],"embedded":[120],"Convolutional":[122],"Block":[123],"Attention":[124],"Module":[125],"(CBAM)":[126],"Adaptive":[128],"Spatial":[129],"Feature":[130],"Fusion":[131],"(ASFF).":[132],"introduction":[134],"CBAM":[136],"can":[137,161],"make":[138,162],"up":[139],"for":[140,281],"lack":[142],"expression":[144],"ability":[145],"its":[147],"feature":[148,155,193],"extraction":[149,194,285],"layer":[150],"retain":[152],"information.":[156],"Adding":[157],"ASFF":[159],"module":[160],"full":[163],"use":[164],"features":[167],"in":[168,264,290],"different":[169],"scales":[170],"precision.":[174],"DeeplabV3+":[186,246],"neural":[187],"using":[189],"ResNet-101":[190],"as":[191],"network,":[195],"not":[197],"only":[198],"effectively":[199],"reduces":[200],"hole":[201],"plaque":[203],"issues":[204],"but":[205],"also":[206],"extracts":[207],"edge":[208],"details.":[209],"Experimental":[210],"results":[211],"show":[212],"mAP":[215],"F1-score":[217],"YOLOX":[221,234],"reach":[223,248,268],"97.65%":[224],"97.50%,":[226],"1.50%":[227],"2.59%":[229],"higher":[230,255],"than":[231,256],"original":[233],"solution.":[235,259],"At":[236],"same":[238],"time,":[239],"accuracy":[241],"mIoU":[243],"99.2%":[249],"95.8%,":[251],"0.5%":[252],"2.5%":[254],"UNet":[258],"All":[260],"metrics":[263],"95%":[269],"even":[271],"higher.":[272],"Proving":[273],"PODD":[276],"could":[278],"be":[279],"useful":[280],"automatic":[284],"(both":[286],"area)":[289],"large":[291],"areas":[292],"policymaking.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-10-11T00:00:00"}
