乐胖代购免代理版

{"id":"https://openalex.org/W4205421373","doi":"https://doi.org/10.1109/tgrs.2021.3133454","title":"Multilayer Global Spectral\u2013Spatial Attention Network for Wetland Hyperspectral Image Classification","display_name":"Multilayer Global Spectral\u2013Spatial Attention Network for Wetland Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4205421373","doi":"https://doi.org/10.1109/tgrs.2021.3133454"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133454","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5078886858","display_name":"Zhuojun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuojun Xie","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030541843","display_name":"Jianwen Hu","orcid":"https://orcid.org/0000-0001-9849-1327"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"funder","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Hu","raw_affiliation_strings":["School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.074,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.698246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9996,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9996,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9867,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9769,"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/discriminative-model","display_name":"Discriminative model","score":0.70249856}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.92303526},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.70249856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681782},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6593574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5507187},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5017755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49417356},{"id":"https://openalex.org/C67715294","wikidata":"https://www.wikidata.org/wiki/Q170321","display_name":"Wetland","level":2,"score":0.47889534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4649647},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35835284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.123395026},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133454","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.59}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61871179"},{"funder":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation","award_id":"2021T140194"},{"funder":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province","award_id":"2019JJ50036"},{"funder":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province","award_id":"2020GK2038"},{"funder":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","award_id":"2021JJ022"}],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W2004754531","https://openalex.org/W2005672614","https://openalex.org/W2006588449","https://openalex.org/W2018482939","https://openalex.org/W2104269704","https://openalex.org/W2114819256","https://openalex.org/W2121338139","https://openalex.org/W2125637308","https://openalex.org/W2136251662","https://openalex.org/W2150579376","https://openalex.org/W2151665594","https://openalex.org/W2159070926","https://openalex.org/W2261059368","https://openalex.org/W2331206140","https://openalex.org/W2500751094","https://openalex.org/W2519653196","https://openalex.org/W2548791488","https://openalex.org/W2602024454","https://openalex.org/W2609880332","https://openalex.org/W2614326984","https://openalex.org/W2752311827","https://openalex.org/W2752782242","https://openalex.org/W2764276316","https://openalex.org/W2791006446","https://openalex.org/W2792111852","https://openalex.org/W2800371750","https://openalex.org/W2804744787","https://openalex.org/W2884585870","https://openalex.org/W2888715336","https://openalex.org/W2896847173","https://openalex.org/W2910457605","https://openalex.org/W2914331134","https://openalex.org/W2921445432","https://openalex.org/W2948157022","https://openalex.org/W2950185713","https://openalex.org/W2955058313","https://openalex.org/W2990095910","https://openalex.org/W2992919850","https://openalex.org/W3003326148","https://openalex.org/W3003369751","https://openalex.org/W3016410830","https://openalex.org/W3037458146","https://openalex.org/W3041024848","https://openalex.org/W3043181422","https://openalex.org/W3049655825","https://openalex.org/W3103753223","https://openalex.org/W3104418202","https://openalex.org/W3105357426","https://openalex.org/W3125418472","https://openalex.org/W3125860323","https://openalex.org/W3200959564","https://openalex.org/W4240485910"],"related_works":["https://openalex.org/W4313014865","https://openalex.org/W4230131218","https://openalex.org/W3209970181","https://openalex.org/W3034375524","https://openalex.org/W2404757046","https://openalex.org/W2072166414","https://openalex.org/W2070598848","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Coastal":[0],"wetland":[1,37,146],"monitoring":[2],"plays":[3],"an":[4,20,77,122],"important":[5],"role":[6],"in":[7,14,82],"the":[8,30,90,93,131,139,154],"protection":[9],"and":[10,26,102],"restoration":[11],"of":[12,58],"ecosystems":[13],"this":[15,40],"world.":[16],"UAV-hyperspectral":[17],"imaging,":[18],"as":[19,136],"emerging":[21],"technique":[22],"for":[23,51],"Earth":[24],"observation":[25],"space":[27],"exploration,":[28],"provides":[29],"huge":[31],"potential":[32],"ability":[33],"to":[34,75,88,98,110,129,137,163],"identify":[35],"different":[36],"species.":[38],"In":[39],"work,":[41],"a":[42,63,103],"multilayer":[43],"global":[44,104],"spectral\u2013spatial":[45,105],"attention":[46,106],"network":[47,67],"(MGSSAN)":[48],"is":[49,73,86,96,108,127],"proposed":[50,155],"mapping":[52],"coastal":[53],"wetlands,":[54],"which":[55,83],"mainly":[56],"consists":[57],"two":[59],"major":[60],"steps.":[61],"First,":[62],"two-branch":[64],"convolutional":[65],"neural":[66],"(CNN)":[68],"framework":[69],"with":[70,161],"residual":[71],"connection":[72],"developed":[74],"obtain":[76,158],"initial":[78,132],"classification":[79,133,168],"probability":[80],"map,":[81],"one":[84],"branch":[85,95],"used":[87,97],"capture":[89],"spectral":[91],"information,":[92,101],"other":[94],"extract":[99],"spatial":[100],"module":[107],"designed":[109],"guide":[111],"networks":[112],"focusing":[113],"on":[114,144],"those":[115],"features":[116],"that":[117,153],"are":[118],"more":[119],"discriminative.":[120],"Second,":[121],"extended":[123],"random":[124],"walker":[125],"method":[126,156],"utilized":[128],"optimize":[130],"probabilities,":[134],"so":[135],"yield":[138],"final":[140],"map.":[141],"Experiments":[142],"performed":[143],"three":[145],"HSI":[147],"datasets":[148],"created":[149],"by":[150],"ourselves":[151],"verify":[152],"can":[157],"superior":[159],"performance":[160],"respect":[162],"several":[164],"state-of-the-art":[165],"hyperspectral":[166],"image":[167],"methods.":[169]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4205421373","counts_by_year":[{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6}],"updated_date":"2025-02-23T03:29:45.490151","created_date":"2022-01-25"}