乐胖代购免代理版

{"id":"https://openalex.org/W4385804082","doi":"https://doi.org/10.1016/j.jag.2023.103453","title":"FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net","display_name":"FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385804082","doi":"https://doi.org/10.1016/j.jag.2023.103453"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2023.103453","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.jag.2023.103453","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044633796","display_name":"Kassim Kalinaki","orcid":"https://orcid.org/0000-0001-8630-9110"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"funder","lineage":["https://openalex.org/I189462010"]},{"id":"https://openalex.org/I185474147","display_name":"Islamic University in Uganda","ror":"https://ror.org/03ph49z03","country_code":"UG","type":"education","lineage":["https://openalex.org/I185474147"]}],"countries":["BN","UG"],"is_corresponding":false,"raw_author_name":"Kassim Kalinaki","raw_affiliation_strings":["Department of Computer Science, Islamic University in Uganda (IUIU), PO Box 2555, Mbale, Uganda","School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei"],"affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei","institution_ids":["https://openalex.org/I189462010"]},{"raw_affiliation_string":"Department of Computer Science, Islamic University in Uganda (IUIU), PO Box 2555, Mbale, Uganda","institution_ids":["https://openalex.org/I185474147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007781856","display_name":"Owais Ahmed Malik","orcid":"https://orcid.org/0000-0002-4888-5448"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"funder","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":true,"raw_author_name":"Owais Ahmed Malik","raw_affiliation_strings":["School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei"],"affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei","institution_ids":["https://openalex.org/I189462010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110190122","display_name":"Daphne Teck Ching Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"funder","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Daphne Teck Ching Lai","raw_affiliation_strings":["School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei"],"affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Gadong BE1410, Brunei","institution_ids":["https://openalex.org/I189462010"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007781856"],"corresponding_institution_ids":["https://openalex.org/I189462010"],"apc_list":{"value":2250,"currency":"USD","value_usd":2250},"apc_paid":{"value":2250,"currency":"USD","value_usd":2250},"fwci":4.384,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.999906,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"122","issue":null,"first_page":"103453","last_page":"103453"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993,"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":0.9993,"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":0.9986,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9979,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.49915028},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4558796},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43732524},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land Cover","score":0.42695287}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.65752447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61190706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.55977774},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.54131675},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.50601596},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.49915028},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4558796},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43732524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43700728},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43323153},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.42695287},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42289817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38420206},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2722968},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.23668933},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1763097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14837646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14404193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.124366224},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2023.103453","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2023.103453","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320311019","funder_display_name":"Universiti Brunei Darussalam","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":56,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1965825034","https://openalex.org/W1981213426","https://openalex.org/W1999312795","https://openalex.org/W2015346751","https://openalex.org/W2053886687","https://openalex.org/W2058480893","https://openalex.org/W2167279371","https://openalex.org/W2194775991","https://openalex.org/W2319094006","https://openalex.org/W2412782625","https://openalex.org/W2609978791","https://openalex.org/W2615988339","https://openalex.org/W2617612141","https://openalex.org/W2742481940","https://openalex.org/W2774320778","https://openalex.org/W2808407256","https://openalex.org/W2888865815","https://openalex.org/W2903623761","https://openalex.org/W2906406763","https://openalex.org/W2921625548","https://openalex.org/W2935706473","https://openalex.org/W2942729506","https://openalex.org/W2951991161","https://openalex.org/W2963495494","https://openalex.org/W2979751829","https://openalex.org/W3012405890","https://openalex.org/W3027225766","https://openalex.org/W3027873036","https://openalex.org/W3033650189","https://openalex.org/W3040396712","https://openalex.org/W3081119210","https://openalex.org/W3089914759","https://openalex.org/W3095927019","https://openalex.org/W3111042511","https://openalex.org/W3145627966","https://openalex.org/W3166536399","https://openalex.org/W3172975293","https://openalex.org/W3206518192","https://openalex.org/W3208314049","https://openalex.org/W3215681176","https://openalex.org/W38971914","https://openalex.org/W4200302434","https://openalex.org/W4205457644","https://openalex.org/W4205687832","https://openalex.org/W4281695804","https://openalex.org/W4284992611","https://openalex.org/W4285792690","https://openalex.org/W4308159485","https://openalex.org/W4308823719","https://openalex.org/W4309770458","https://openalex.org/W4365136950","https://openalex.org/W4379140556","https://openalex.org/W4382243560","https://openalex.org/W4384038057"],"related_works":["https://openalex.org/W4243161226","https://openalex.org/W2950647290","https://openalex.org/W292456094","https://openalex.org/W2620829895","https://openalex.org/W2378111931","https://openalex.org/W2356918560","https://openalex.org/W2057559274","https://openalex.org/W2056853153","https://openalex.org/W2005087563","https://openalex.org/W1968481813"],"abstract_inverted_index":{"Forest":[0],"Change":[1],"Detection":[2],"(FCD)":[3],"is":[4,47],"a":[5,50,191],"critical":[6],"component":[7],"of":[8,23,125,146,165,187,197,222,231,279],"natural":[9],"resource":[10],"monitoring":[11],"and":[12,32,72,98,136,148,177,215,238,246,271],"conservation":[13],"strategies,":[14],"enabling":[15],"informed":[16],"decision-making.":[17],"Various":[18],"methods":[19],"utilizing":[20],"the":[21,48,61,95,110,117,123,126,143,156,166,171,184,206,227,243,247,276],"power":[22],"artificial":[24],"intelligence":[25],"(AI)":[26],"have":[27],"been":[28],"developed":[29],"for":[30,56],"detecting":[31],"categorizing":[33],"changes":[34],"in":[35,77,105,109,161,234,273,290],"forest":[36,106,237,269],"cover":[37,108],"using":[38],"remote":[39,78],"sensing":[40,79],"(RS)":[41],"data.":[42],"One":[43],"prominent":[44],"AI-powered":[45],"approach":[46],"U-Net,":[49,127,173,245],"deep":[51],"learning":[52],"(DL)":[53],"architecture":[54,64,97,119],"famous":[55],"its":[57,260],"segmentation":[58],"proficiency.":[59],"However,":[60],"standard":[62,244],"U-Net":[63,96,118,208,211,248],"fails":[65],"to":[66,102,132,141,170],"effectively":[67],"capture":[68],"intricate":[69],"spatial":[70],"dependencies":[71],"long-range":[73],"contextual":[74],"information":[75,147],"present":[76],"imagery.":[80],"To":[81],"address":[82],"this":[83],"research":[84],"gap,":[85],"we":[86],"introduce":[87],"an":[88],"attention-residual-based":[89],"novel":[90,114],"DL":[91],"model":[92,115,233],"which":[93],"leverages":[94],"Sentinel-2":[99],"satellite":[100],"images":[101],"map":[103],"alterations":[104],"vegetation":[107],"tropical":[111,286],"region.":[112],"Our":[113],"enhances":[116],"by":[120],"seamlessly":[121],"integrating":[122],"strengths":[124],"harnessing":[128],"attention":[129,251],"mechanisms":[130],"strategically":[131],"amplify":[133],"crucial":[134],"features,":[135],"leveraging":[137],"cutting-edge":[138],"residual":[139],"connections":[140],"facilitate":[142],"smooth":[144],"flow":[145],"gradient":[149],"propagation.":[150],"These":[151],"meticulous":[152],"design":[153],"choices":[154],"enabled":[155],"precise":[157],"feature":[158],"extraction,":[159],"resulting":[160],"improved":[162],"computational":[163],"performance":[164,204],"proposed":[167],"method":[168],"compared":[169],"Standard":[172,210],"Deeplabv3+,":[174],"Deep":[175,216],"Res-U-Net,":[176],"Attention":[178,207],"U-Net.":[179],"The":[180,219,263],"classification":[181],"results":[182],"demonstrate":[183],"enhanced":[185,261],"efficiency":[186],"our":[188,200,232],"model,":[189],"achieving":[190],"Mean":[192],"Intersection":[193],"over":[194],"Union":[195],"(MIoU)":[196],"0.9330":[198],"on":[199,285],"test":[201],"dataset.":[202],"This":[203],"surpasses":[205],"(0.9146),":[209],"(0.9029),":[212],"Deeplabv3+":[213],"(0.9247),":[214],"Res-U-Net":[217],"(0.9282).":[218],"comparative":[220],"analysis":[221],"ground":[223],"truth":[224],"reproductions":[225],"unveiled":[226],"superior":[228],"detection":[229],"capabilities":[230],"accurately":[235],"identifying":[236],"non-forest":[239],"polygons,":[240],"surpassing":[241],"both":[242],"augmented":[249],"with":[250,254],"mechanism,":[252],"along":[253],"other":[255],"state-of-the-art":[256],"techniques,":[257],"thereby":[258],"highlighting":[259],"efficacy.":[262],"model's":[264],"broad":[265],"applicability":[266],"can":[267],"support":[268],"managers":[270],"ecologists":[272],"rapidly":[274],"evaluating":[275],"long-term":[277],"ramifications":[278],"infrastructure":[280],"initiatives,":[281],"such":[282],"as":[283],"roads,":[284],"forests,":[287],"including":[288],"those":[289],"Brunei.":[291]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385804082","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":2}],"updated_date":"2025-04-18T23:14:55.057518","created_date":"2023-08-15"}