{"id":"https://openalex.org/W4403277854","doi":"https://doi.org/10.1109/tgrs.2024.3477290","title":"Edge-Guided Dual-Stream Network for Plastic Greenhouse Extraction From Remote Sensing Image","display_name":"Edge-Guided Dual-Stream Network for Plastic Greenhouse Extraction From Remote Sensing Image","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403277854","doi":"https://doi.org/10.1109/tgrs.2024.3477290"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3477290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3477290","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","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/A5100363171","display_name":"Xiaoping Zhang","orcid":"https://orcid.org/0009-0004-9381-1124"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoping Zhang","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110893215","display_name":"Bo Cheng","orcid":"https://orcid.org/0000-0002-8933-9726"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Cheng","raw_affiliation_strings":["Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078148930","display_name":"Chenbin Liang","orcid":"https://orcid.org/0000-0002-1499-7177"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbin Liang","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102825033","display_name":"Guizhou Wang","orcid":"https://orcid.org/0000-0002-2347-8416"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhou Wang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100363171"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":0.4991,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71089983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9358000159263611,"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":0.9358000159263611,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9337000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6537635326385498},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5871515274047852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5424531102180481},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5242516994476318},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4878573417663574},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.427398145198822},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41078445315361023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38547858595848083},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3719964325428009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3498702049255371},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3210122883319855},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2371366024017334}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6537635326385498},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5871515274047852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5424531102180481},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5242516994476318},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4878573417663574},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.427398145198822},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41078445315361023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38547858595848083},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3719964325428009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3498702049255371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3210122883319855},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2371366024017334},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3477290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3477290","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1027540491","display_name":null,"funder_award_id":"2023M742729","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G348344376","display_name":null,"funder_award_id":"72073125","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1999857868","https://openalex.org/W2124592837","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2422834212","https://openalex.org/W2490203368","https://openalex.org/W2560023338","https://openalex.org/W2588742029","https://openalex.org/W2601221592","https://openalex.org/W2621223317","https://openalex.org/W2752782242","https://openalex.org/W2774350017","https://openalex.org/W2787091153","https://openalex.org/W2886934227","https://openalex.org/W2889785581","https://openalex.org/W2900276143","https://openalex.org/W2916798096","https://openalex.org/W2955058313","https://openalex.org/W2963794428","https://openalex.org/W2963881378","https://openalex.org/W2972221779","https://openalex.org/W2972801466","https://openalex.org/W3001536951","https://openalex.org/W3003394660","https://openalex.org/W3014641072","https://openalex.org/W3031234895","https://openalex.org/W3103092912","https://openalex.org/W3109998321","https://openalex.org/W3127751679","https://openalex.org/W3128055887","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3177052299","https://openalex.org/W3196904463","https://openalex.org/W3200075728","https://openalex.org/W3202003977","https://openalex.org/W3206517195","https://openalex.org/W3212386989","https://openalex.org/W4205713275","https://openalex.org/W4223913670","https://openalex.org/W4224004427","https://openalex.org/W4226289601","https://openalex.org/W4289752563","https://openalex.org/W4306768843","https://openalex.org/W4320486905","https://openalex.org/W4321232185","https://openalex.org/W4321487988","https://openalex.org/W4323022345","https://openalex.org/W4324393568","https://openalex.org/W4327695706","https://openalex.org/W4372204177","https://openalex.org/W4376150922","https://openalex.org/W4386076493","https://openalex.org/W4388420812","https://openalex.org/W4388553089","https://openalex.org/W4388750401","https://openalex.org/W4391305862","https://openalex.org/W4392399545","https://openalex.org/W4392694125","https://openalex.org/W6695174582","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W2551441443","https://openalex.org/W2388577840"],"abstract_inverted_index":{"Plastic":[0],"greenhouses":[1],"(PGs),":[2],"as":[3],"an":[4,118,127,155],"important":[5],"part":[6],"of":[7,44,97,117,152,204,238],"modernized":[8],"facility-based":[9],"agriculture,":[10],"are":[11,74],"widely":[12],"used":[13],"worldwide":[14],"to":[15,76,94,99,147,161,167,188],"improve":[16],"crop":[17],"yield.":[18],"To":[19],"facilitate":[20,190],"precision":[21],"agricultural":[22],"management":[23],"and":[24,41,49,60,101,126,185,219,223,232],"environment":[25],"assessment,":[26],"there":[27],"has":[28],"been":[29],"widespread":[30],"research":[31],"attention":[32,98,142],"that":[33,227],"focuses":[34],"on":[35,201,217],"accurately":[36],"mapping":[37],"the":[38,95,132,149,163,174,191,224],"spatial":[39],"distribution":[40],"exploring":[42],"coverage":[43],"PGs":[45,72],"via":[46],"remote":[47,65],"sensing":[48,66],"deep":[50],"learning":[51],"techniques.":[52],"However,":[53],"limited":[54],"by":[55],"PGs\u2019":[56],"poor":[57],"intraclass":[58],"similarity":[59],"interclass":[61,199],"separability":[62,200],"in":[63,89],"high-resolution":[64],"images":[67],"(HRRSIs),":[68],"existing":[69],"methods":[70],"for":[71,235],"extraction":[73,124,134,237],"hard":[75],"achieve":[77],"promising":[78],"performance.":[79],"Besides,":[80],"their":[81],"visualization":[82],"results":[83,225],"also":[84],"suffer":[85],"from":[86],"adhesion":[87],"problems":[88],"densely":[90],"distributed":[91],"areas,":[92],"due":[93],"lack":[96],"geometric":[100,150],"boundary":[102,171],"information.":[103],"Therefore,":[104],"this":[105,228],"article":[106],"proposes":[107],"a":[108,122,136],"novel":[109],"edge-guided":[110,156],"dual":[111,195],"stream":[112],"network":[113],"(EDSNet),":[114],"which":[115],"consists":[116],"edge":[119,164,183],"detection":[120,165],"branch,":[121,125,135],"body":[123,133,186],"adaptive":[128,175],"fusion":[129,177],"module.":[130],"In":[131],"new":[137],"feature":[138],"extractor,":[139],"termed":[140],"geometric-refined":[141],"module":[143,157,178],"(GRAM),":[144],"is":[145,159,215,233],"embedded":[146],"enhance":[148],"information":[151,192,209],"PGs.":[153,239],"Moreover,":[154],"(EGM)":[158],"introduced":[160],"guide":[162],"branch":[166],"gradually":[168],"recover":[169],"precise":[170],"details.":[172],"Finally,":[173],"semantic":[176],"(ASFM)":[179],"adaptively":[180],"fuses":[181],"enhanced":[182],"features":[184,187],"maximally":[189],"interaction":[193],"between":[194],"branches,":[196],"thus":[197],"improving":[198],"both":[202],"sides":[203],"edges":[205],"while":[206],"suppressing":[207],"meaningless":[208],"outside":[210],"bodies.":[211],"The":[212,240],"proposed":[213],"EDSNet":[214],"validated":[216],"self-labeled":[218],"publicly":[220],"available":[221,244],"datasets,":[222],"demonstrate":[226],"method":[229],"performs":[230],"well":[231],"suitable":[234],"accurate":[236],"code":[241],"will":[242],"be":[243],"at":[245],"<uri":[246],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[247],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/xchouzhang/EDSNet</uri>.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
