{"id":"https://openalex.org/W4384341407","doi":"https://doi.org/10.1080/17538947.2023.2234340","title":"Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images","display_name":"Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images","publication_year":2023,"publication_date":"2023-07-13","ids":{"openalex":"https://openalex.org/W4384341407","doi":"https://doi.org/10.1080/17538947.2023.2234340"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2023.2234340","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2234340","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2234340?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2234340?needAccess=true&role=button","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053344101","display_name":"Bolin Fu","orcid":"https://orcid.org/0000-0002-3469-1861"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bolin Fu","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006742898","display_name":"Xidong Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xidong Sun","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317611","display_name":"Yuyang Li","orcid":"https://orcid.org/0000-0002-0319-8396"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Li","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053042883","display_name":"Zhinan Lao","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhinan Lao","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006581779","display_name":"Tengfang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfang Deng","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059723326","display_name":"Hongchang He","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchang He","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075826136","display_name":"Guoqing Zhou","orcid":"https://orcid.org/0000-0001-8295-0496"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhou","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053344101"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":3.8545,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94153659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"2724","last_page":"2761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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":0.9984999895095825,"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":0.9965000152587891,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8630014657974243},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8104827404022217},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.621317446231842},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6169223189353943},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5332878232002258},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.5024244785308838},{"id":"https://openalex.org/keywords/marsh","display_name":"Marsh","score":0.4959336221218109},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42878714203834534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3314320147037506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32549625635147095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2969890832901001},{"id":"https://openalex.org/keywords/wetland","display_name":"Wetland","score":0.1130865216255188},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0959109365940094},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08716601133346558}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8630014657974243},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8104827404022217},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.621317446231842},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6169223189353943},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5332878232002258},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.5024244785308838},{"id":"https://openalex.org/C67268981","wikidata":"https://www.wikidata.org/wiki/Q30198","display_name":"Marsh","level":3,"score":0.4959336221218109},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42878714203834534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3314320147037506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32549625635147095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2969890832901001},{"id":"https://openalex.org/C67715294","wikidata":"https://www.wikidata.org/wiki/Q170321","display_name":"Wetland","level":2,"score":0.1130865216255188},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0959109365940094},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08716601133346558},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2023.2234340","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2234340","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2234340?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:daf5c5f5d34a49469756186ccb53044d","is_oa":true,"landing_page_url":"https://doaj.org/article/daf5c5f5d34a49469756186ccb53044d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 16, Iss 1, Pp 2724-2761 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2023.2234340","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2023.2234340","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2234340?needAccess=true&role=button","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G6429290250","display_name":null,"funder_award_id":"21976043","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384341407.pdf","grobid_xml":"https://content.openalex.org/works/W4384341407.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W61851215","https://openalex.org/W1885185971","https://openalex.org/W2008469107","https://openalex.org/W2064076387","https://openalex.org/W2074126754","https://openalex.org/W2093805119","https://openalex.org/W2121652279","https://openalex.org/W2321571021","https://openalex.org/W2414425402","https://openalex.org/W2525592260","https://openalex.org/W2747675701","https://openalex.org/W2751011928","https://openalex.org/W2794055043","https://openalex.org/W2794055631","https://openalex.org/W2810599075","https://openalex.org/W2882492745","https://openalex.org/W2887185672","https://openalex.org/W2891158090","https://openalex.org/W2907459272","https://openalex.org/W2922509574","https://openalex.org/W2962914239","https://openalex.org/W2963470893","https://openalex.org/W2969634177","https://openalex.org/W2979631444","https://openalex.org/W2995297230","https://openalex.org/W2999672078","https://openalex.org/W3004996399","https://openalex.org/W3015950295","https://openalex.org/W3023991509","https://openalex.org/W3025464543","https://openalex.org/W3043188097","https://openalex.org/W3046220160","https://openalex.org/W3080988368","https://openalex.org/W3090239664","https://openalex.org/W3136563782","https://openalex.org/W3149718321","https://openalex.org/W3170544306","https://openalex.org/W3190807025","https://openalex.org/W3206098624","https://openalex.org/W3210646956","https://openalex.org/W3211490618","https://openalex.org/W3217597357","https://openalex.org/W4205682476","https://openalex.org/W4210634612","https://openalex.org/W4220856921","https://openalex.org/W4223489921","https://openalex.org/W4226532763","https://openalex.org/W4229449797","https://openalex.org/W4250482878","https://openalex.org/W4280528314","https://openalex.org/W4280638333","https://openalex.org/W4289205500","https://openalex.org/W4376112850"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160"],"abstract_inverted_index":{"Vegetation":[0],"is":[1,204],"crucial":[2],"for":[3,22,183,208],"wetland":[4,14],"ecosystems.":[5,15],"Human":[6],"activities":[7],"and":[8,19,37,55,61,119,128,136,164,180,186,201],"climate":[9],"changes":[10],"are":[11],"increasingly":[12],"threatening":[13],"Combining":[16],"satellite":[17],"images":[18,99],"deep":[20,202],"learning":[21,203],"classifying":[23],"marsh":[24,50,82,184,209],"vegetation":[25,51,83,185,210],"communities":[26],"has":[27],"faced":[28],"great":[29],"challenges":[30],"because":[31],"of":[32,117,123,134,138,145,161,198],"its":[33],"coarse":[34],"spatial":[35,126],"resolution":[36],"limited":[38],"spectral":[39,141],"bands.":[40],"This":[41,192],"study":[42,193],"aimed":[43],"to":[44,48,79],"propose":[45],"a":[46,62,75,112],"method":[47],"classify":[49],"using":[52],"multi-resolution":[53],"multispectral":[54],"hyperspectral":[56,97],"images,":[57],"combining":[58],"super-resolution":[59,103,151,165,199],"techniques":[60],"novel":[63],"self-constructing":[64],"graph":[65],"attention":[66],"neural":[67,105],"network":[68,106,154,168],"(SGA-Net)":[69],"algorithm.":[70],"The":[71,92,143],"SGA-Net":[72,176],"algorithm":[73],"includes":[74],"decoding":[76],"layer":[77],"(SCE-Net)":[78],"precisely":[80],"fine":[81],"classification":[84,146,173],"in":[85,125,140],"Honghe":[86],"National":[87],"Nature":[88],"Reserve,":[89],"Northeast":[90],"China.":[91],"results":[93],"indicated":[94],"that":[95,160,195],"the":[96,102,175,188],"reconstruction":[98,200],"based":[100],"on":[101],"convolutional":[104],"(SRCNN)":[107],"obtained":[108],"higher":[109],"accuracy":[110,147],"with":[111],"peak":[113],"signal-to-noise":[114],"ratio":[115],"(PSNR)":[116],"28.87":[118],"structural":[120],"similarity":[121],"(SSIM)":[122],"0.76":[124],"quality":[127],"root":[129],"mean":[130],"squared":[131],"error":[132],"(RMSE)":[133],"0.11":[135],"R2":[137],"0.63":[139],"quality.":[142],"improvement":[144],"(MIoU)":[148],"by":[149],"enhanced":[150],"generative":[152,166],"adversarial":[153,167],"(ESRGAN)":[155],"(6.19%)":[156],"was":[157],"greater":[158],"than":[159],"SRCNN":[162],"(4.33%)":[163],"(SRGAN)":[169],"(3.64%).":[170],"In":[171],"most":[172],"schemes,":[174],"outperformed":[177],"DeepLabV3":[178],"+":[179],"SegFormer":[181],"algorithms":[182],"achieved":[187],"highest":[189],"F1-score":[190],"(78.47%).":[191],"demonstrated":[194],"collaborative":[196],"use":[197],"an":[205],"effective":[206],"approach":[207],"mapping.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}