{"id":"https://openalex.org/W4285294545","doi":"https://doi.org/10.1109/tgrs.2022.3185459","title":"Spatio\u2013Temporal\u2013Spectral Collaborative Learning for Spatio\u2013Temporal Fusion with Land Cover Changes","display_name":"Spatio\u2013Temporal\u2013Spectral Collaborative Learning for Spatio\u2013Temporal Fusion with Land Cover Changes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285294545","doi":"https://doi.org/10.1109/tgrs.2022.3185459"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3185459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3185459","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/A5018282808","display_name":"Xiangchao Meng","orcid":"https://orcid.org/0000-0002-7405-3143"},"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"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7405-3143","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409514","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-9966-7803"},"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":"Qiang Liu","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049898953","display_name":"Feng Shao","orcid":"https://orcid.org/0000-0002-2495-9924"},"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":"Feng Shao","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-2495-9924","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"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":"education","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"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8532,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91670158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519689798355103},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5838742852210999},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5766376256942749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5681460499763489},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5513925552368164},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.544294536113739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4579344093799591},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.44921875},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4396063983440399},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.14534279704093933},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09151604771614075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519689798355103},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5838742852210999},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5766376256942749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5681460499763489},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5513925552368164},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.544294536113739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4579344093799591},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.44921875},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4396063983440399},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.14534279704093933},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09151604771614075},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3185459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3185459","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":[{"score":0.6000000238418579,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3336326893","display_name":"\u56fd\u4ea7\u8d44\u6e90\u4e00\u53f702D \u591a\u4f20\u611f\u5668\u5f71\u50cf\u7684\u534f\u540c\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"LY22F010014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4060593620","display_name":null,"funder_award_id":"2020M672490","funder_id":"https://openalex.org/F4320335443","funder_display_name":"Postdoctoral Research Foundation of China"},{"id":"https://openalex.org/G713033493","display_name":null,"funder_award_id":"42171326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7260466524","display_name":"\u9762\u5411\u7528\u6237\u89c6\u89c9\u4f53\u9a8c\u7684\u7acb\u4f53\u5168\u666f\u89c6\u9891\u8d28\u91cf\u8bc4\u4ef7\u53ca\u589e\u5f3a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7534358263","display_name":null,"funder_award_id":"41801252","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/F4320335443","display_name":"Postdoctoral Research Foundation of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1614886892","https://openalex.org/W1885185971","https://openalex.org/W1965825034","https://openalex.org/W1970515153","https://openalex.org/W1982956952","https://openalex.org/W1987874186","https://openalex.org/W1987927366","https://openalex.org/W1991868762","https://openalex.org/W2012188213","https://openalex.org/W2015345826","https://openalex.org/W2017193019","https://openalex.org/W2031596845","https://openalex.org/W2056811372","https://openalex.org/W2058822683","https://openalex.org/W2064675550","https://openalex.org/W2082263501","https://openalex.org/W2088603520","https://openalex.org/W2105428530","https://openalex.org/W2110303631","https://openalex.org/W2124073857","https://openalex.org/W2126340432","https://openalex.org/W2127962925","https://openalex.org/W2133665775","https://openalex.org/W2141196455","https://openalex.org/W2157331557","https://openalex.org/W2404325781","https://openalex.org/W2480184802","https://openalex.org/W2514340250","https://openalex.org/W2559655401","https://openalex.org/W2562900277","https://openalex.org/W2769341244","https://openalex.org/W2774052553","https://openalex.org/W2793445582","https://openalex.org/W2795018073","https://openalex.org/W2843468165","https://openalex.org/W2939570633","https://openalex.org/W2963470893","https://openalex.org/W2992343265","https://openalex.org/W3033239110","https://openalex.org/W3034422010","https://openalex.org/W3047166575","https://openalex.org/W3088318080","https://openalex.org/W3089265466","https://openalex.org/W3123173184","https://openalex.org/W3155490439","https://openalex.org/W4220986393","https://openalex.org/W4225982893","https://openalex.org/W4285251085","https://openalex.org/W6623043969"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W2809283485","https://openalex.org/W4293768783"],"abstract_inverted_index":{"Spatio-temporal":[0],"fusion":[1,33,43,68,107,162,211],"by":[2,152,189],"combining":[3],"the":[4,50,74,78,139,148,174,183,201,205],"complementary":[5],"spatial":[6,19],"and":[7,82,104,155,176,191],"temporal":[8,156],"advantages":[9],"of":[10,91,204],"multi-source":[11,126],"remote":[12,127],"sensing":[13,128],"images":[14,21,51],"to":[15,69,120,145,171],"obtain":[16],"time-series":[17],"high":[18],"resolution":[20],"is":[22,136,169],"highly":[23],"desirable":[24],"in":[25,48],"monitoring":[26],"surface":[27],"dynamics.":[28],"Currently,":[29],"deep":[30],"learning":[31,64],"(DL)-based":[32],"methods":[34,44],"have":[35],"received":[36],"extensive":[37],"attention.":[38],"However,":[39],"existing":[40],"DL-based":[41],"spatio-temporal":[42,67],"are":[45],"generally":[46],"limited":[47],"fusing":[49],"with":[52,164],"land":[53,149,192],"cover":[54,150,193],"changes.":[55],"In":[56],"this":[57,71],"paper,":[58],"we":[59],"propose":[60],"a":[61,87,116,165],"spatio-temporal-spectral":[62,166],"collaborative":[63],"framework":[65],"for":[66],"alleviate":[70],"problem.":[72],"Specifically,":[73],"proposed":[75,170,206],"method":[76,207],"integrates":[77],"convolutional":[79,96,100,112,132,140],"neural":[80,84,97,102,113,134],"network":[81,85,114,119,135,163],"recurrent":[83,101,133],"into":[86],"unified":[88],"framework,":[89],"consisting":[90],"three":[92],"sub-networks:":[93],"multi-scale":[94,110,122],"siamese":[95,111],"network,":[98,103],"multi-layer":[99,131],"adaptive":[105,160],"weighting":[106,161],"network.":[108],"The":[109,130,159,178,197],"has":[115],"flexible":[117],"weight-sharing":[118],"extract":[121],"spatial-spectral":[123],"features":[124],"from":[125],"images.":[129],"constructed":[137],"on":[138,182],"long-short":[141],"term":[142],"memory":[143],"units":[144],"comprehensively":[146],"learn":[147],"changes":[151],"spatial,":[153],"spectral,":[154],"joint":[157],"features.":[158],"change":[167],"loss":[168],"further":[172],"improve":[173],"interpretability":[175],"robustness.":[177],"experiments":[179],"were":[180],"performed":[181],"publicly":[184],"available":[185],"benchmark":[186],"datasets":[187],"featured":[188],"phenology":[190],"type":[194],"changes,":[195],"respectively.":[196],"experimental":[198],"results":[199],"demonstrated":[200],"competitive":[202],"performance":[203],"than":[208],"other":[209],"state-of-the-art":[210],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}