{"id":"https://openalex.org/W4405723544","doi":"https://doi.org/10.3390/rs16244777","title":"Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery","display_name":"Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery","publication_year":2024,"publication_date":"2024-12-21","ids":{"openalex":"https://openalex.org/W4405723544","doi":"https://doi.org/10.3390/rs16244777"},"language":"en","primary_location":{"id":"doi:10.3390/rs16244777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244777","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4777/pdf?version=1734917229","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/2072-4292/16/24/4777/pdf?version=1734917229","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092200154","display_name":"Pakezhamu Nuradili","orcid":"https://orcid.org/0000-0002-5585-1377"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pakezhamu Nuradili","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076740062","display_name":"Ji Zhou","orcid":"https://orcid.org/0000-0001-9926-7693"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ji Zhou","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001925417","display_name":"Guiyun Zhou","orcid":"https://orcid.org/0000-0003-1983-6089"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyun Zhou","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021389231","display_name":"Farid Melgani","orcid":"https://orcid.org/0000-0001-9745-3732"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Farid Melgani","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076740062"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6462,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67182054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"16","issue":"24","first_page":"4777","last_page":"4777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9729999899864197,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9729999899864197,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9725000262260437,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6965448260307312},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6678867340087891},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6298679709434509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141347885131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5370036959648132},{"id":"https://openalex.org/keywords/wetland","display_name":"Wetland","score":0.5032281279563904},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4855782389640808},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4645172655582428},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45956331491470337},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4499257802963257},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3608202338218689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3393782675266266},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.25849851965904236},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1829652488231659},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1411862075328827}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6965448260307312},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6678867340087891},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6298679709434509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141347885131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370036959648132},{"id":"https://openalex.org/C67715294","wikidata":"https://www.wikidata.org/wiki/Q170321","display_name":"Wetland","level":2,"score":0.5032281279563904},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4855782389640808},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4645172655582428},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45956331491470337},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4499257802963257},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3608202338218689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3393782675266266},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.25849851965904236},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1829652488231659},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1411862075328827},{"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/rs16244777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244777","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4777/pdf?version=1734917229","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:9ce41a9762c543aa9b9f3bd971c0af7c","is_oa":true,"landing_page_url":"https://doaj.org/article/9ce41a9762c543aa9b9f3bd971c0af7c","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 16, Iss 24, p 4777 (2024)","raw_type":"article"},{"id":"pmh:oai:iris.unitn.it:11572/444710","is_oa":true,"landing_page_url":"https://www.mdpi.com/2072-4292/16/24/4777","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs16244777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244777","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4777/pdf?version=1734917229","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/15","score":0.7400000095367432,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405723544.pdf","grobid_xml":"https://content.openalex.org/works/W4405723544.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2006273284","https://openalex.org/W2038346247","https://openalex.org/W2057955756","https://openalex.org/W2066416082","https://openalex.org/W2088572913","https://openalex.org/W2149583316","https://openalex.org/W2412782625","https://openalex.org/W2736508163","https://openalex.org/W2765366036","https://openalex.org/W2772136803","https://openalex.org/W2799406003","https://openalex.org/W2884040439","https://openalex.org/W2890513934","https://openalex.org/W2916442355","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2982083293","https://openalex.org/W3002088104","https://openalex.org/W3006009556","https://openalex.org/W3008439211","https://openalex.org/W3038091703","https://openalex.org/W3049157029","https://openalex.org/W3100339464","https://openalex.org/W3112139896","https://openalex.org/W3122660204","https://openalex.org/W3183898570","https://openalex.org/W3189143156","https://openalex.org/W3202066404","https://openalex.org/W3208966358","https://openalex.org/W3211490618","https://openalex.org/W4213019189","https://openalex.org/W4226281299","https://openalex.org/W4280537322","https://openalex.org/W4293411918","https://openalex.org/W4312994792","https://openalex.org/W4366213854","https://openalex.org/W4378213568","https://openalex.org/W4379144394","https://openalex.org/W4385319222","https://openalex.org/W4386318724","https://openalex.org/W4390638386","https://openalex.org/W4391528291","https://openalex.org/W4393397443","https://openalex.org/W4399729487","https://openalex.org/W4403825636","https://openalex.org/W6790139290","https://openalex.org/W6797399245","https://openalex.org/W6800001014"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2381193838","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2383007022"],"abstract_inverted_index":{"This":[0,149,177],"study":[1],"highlights":[2],"the":[3,14,113,127,153,161,168,180],"importance":[4],"of":[5,19,83,92,102,110,118,155,163,170,189],"unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"multispectral":[10],"(MS)":[11],"imagery":[12,123],"for":[13,25,38,112,130,182],"accurate":[15],"delineation":[16],"and":[17,28,61,85,104,166,185,192],"analysis":[18],"wetland":[20,68,114,164,190],"ecosystems,":[21],"which":[22,42],"is":[23],"crucial":[24],"their":[26],"conservation":[27],"management.":[29],"We":[30],"present":[31],"an":[32,105],"enhanced":[33],"semantic":[34],"segmentation":[35,50,75,131],"algorithm":[36,72],"designed":[37],"UAV":[39],"MS":[40,122],"imagery,":[41],"incorporates":[43],"thermal":[44],"infrared":[45],"(TIR)":[46],"data":[47,120,139],"to":[48,66,134,143],"improve":[49],"outcomes.":[51],"Our":[52],"approach,":[53,150],"involving":[54],"meticulous":[55],"image":[56],"preprocessing,":[57],"customized":[58],"network":[59],"architecture,":[60],"iterative":[62],"training":[63],"procedures,":[64],"aims":[65],"refine":[67],"boundary":[69],"delineation.":[70],"The":[71,116],"demonstrates":[73],"strong":[74],"results,":[76],"including":[77],"a":[78,86,98,144,156],"mean":[79,87],"pixel":[80,99],"accuracy":[81,100],"(MPA)":[82],"90.35%":[84],"intersection":[88,106],"over":[89,107],"union":[90,108],"(MIOU)":[91],"73.87%":[93],"across":[94],"different":[95],"classes,":[96],"with":[97,121,152],"(PA)":[101],"95.42%":[103],"(IOU)":[109],"90.46%":[111],"class.":[115],"integration":[117],"TIR":[119],"not":[124],"only":[125],"enriches":[126],"feature":[128],"set":[129],"but":[132],"also,":[133],"some":[135],"extent,":[136],"helps":[137],"address":[138],"imbalance":[140],"issues,":[141],"contributing":[142],"more":[145,183],"refined":[146],"ecological":[147,175],"analysis.":[148],"along":[151],"development":[154],"comprehensive":[157],"dataset":[158],"that":[159],"reflects":[160],"diversity":[162],"environments":[165],"advances":[167],"utility":[169],"remote":[171],"sensing":[172],"technologies":[173],"in":[174],"monitoring.":[176],"research":[178],"lays":[179],"groundwork":[181],"detailed":[184],"informative":[186],"UAV-based":[187],"evaluations":[188],"health":[191],"integrity.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
