{"id":"https://openalex.org/W4387623911","doi":"https://doi.org/10.1109/tgrs.2023.3324028","title":"Unsupervised 3-D Tensor Subspace Decomposition Network for Spatial\u2013Temporal\u2013Spectral Fusion of Hyperspectral and Multispectral Images","display_name":"Unsupervised 3-D Tensor Subspace Decomposition Network for Spatial\u2013Temporal\u2013Spectral Fusion of Hyperspectral and Multispectral Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387623911","doi":"https://doi.org/10.1109/tgrs.2023.3324028"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3324028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324028","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/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":true,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785957","display_name":"Kai Ren","orcid":"https://orcid.org/0000-0002-4475-8900"},"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":"Kai Ren","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"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/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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"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/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"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":"Gang Yang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, P. R. China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0009-0009-7035-2216"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Li","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan, China","Ministry of Education and Joint International Research Laboratory of Modern Geodesy and Geodynamics, Ministry of Education, Key Laboratory of Geospace Environment and Geodesy, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Ministry of Education and Joint International Research Laboratory of Modern Geodesy and Geodynamics, Ministry of Education, Key Laboratory of Geospace Environment and Geodesy, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050009113"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":4.6113,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95404269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9181466102600098},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.85088050365448},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6849021911621094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574241518974304},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6431878805160522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5708343982696533},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.563544511795044},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.562186598777771},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.550866425037384},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5447051525115967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5345235466957092},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.434563010931015},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.43402808904647827},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4160520136356354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39198312163352966},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1738637387752533},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1292317509651184},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.062408238649368286}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9181466102600098},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.85088050365448},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6849021911621094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574241518974304},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6431878805160522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5708343982696533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.563544511795044},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.562186598777771},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.550866425037384},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5447051525115967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5345235466957092},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.434563010931015},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.43402808904647827},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4160520136356354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39198312163352966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1738637387752533},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1292317509651184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.062408238649368286},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3324028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324028","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":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3336326893","display_name":null,"funder_award_id":"LY22F010014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3409118948","display_name":null,"funder_award_id":"LR19D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3444851507","display_name":null,"funder_award_id":"2021Z107","funder_id":"https://openalex.org/F4320336552","funder_display_name":"Science and Technology Innovation 2025 Major Project of Ningbo"},{"id":"https://openalex.org/G5568457102","display_name":null,"funder_award_id":"41971296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5745640903","display_name":null,"funder_award_id":"61871177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G612811711","display_name":null,"funder_award_id":"LQ18D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6477161423","display_name":null,"funder_award_id":"2022Z181","funder_id":"https://openalex.org/F4320336552","funder_display_name":"Science and Technology Innovation 2025 Major Project of Ningbo"},{"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/G7524409454","display_name":null,"funder_award_id":"42122009","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"},{"id":"https://openalex.org/G8293725174","display_name":null,"funder_award_id":"41801256","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/F4320336552","display_name":"Science and Technology Innovation 2025 Major Project of Ningbo","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":60,"referenced_works":["https://openalex.org/W1522046140","https://openalex.org/W1990231296","https://openalex.org/W1991868762","https://openalex.org/W1993699518","https://openalex.org/W1999428071","https://openalex.org/W2012188213","https://openalex.org/W2017193019","https://openalex.org/W2050225888","https://openalex.org/W2050565140","https://openalex.org/W2056811372","https://openalex.org/W2088603520","https://openalex.org/W2097259623","https://openalex.org/W2126340432","https://openalex.org/W2131697388","https://openalex.org/W2171108951","https://openalex.org/W2327364376","https://openalex.org/W2359359472","https://openalex.org/W2514340250","https://openalex.org/W2520430674","https://openalex.org/W2592312604","https://openalex.org/W2625894731","https://openalex.org/W2748530166","https://openalex.org/W2766419681","https://openalex.org/W2767886251","https://openalex.org/W2788008270","https://openalex.org/W2792111852","https://openalex.org/W2793445582","https://openalex.org/W2794048225","https://openalex.org/W2804744787","https://openalex.org/W2950325582","https://openalex.org/W3010650493","https://openalex.org/W3011782621","https://openalex.org/W3016296267","https://openalex.org/W3023221758","https://openalex.org/W3026587394","https://openalex.org/W3039186706","https://openalex.org/W3046091284","https://openalex.org/W3047166575","https://openalex.org/W3048537623","https://openalex.org/W3099239430","https://openalex.org/W3103964896","https://openalex.org/W3109408464","https://openalex.org/W3123173184","https://openalex.org/W3127815048","https://openalex.org/W3134743586","https://openalex.org/W3162761567","https://openalex.org/W3191808428","https://openalex.org/W3194440816","https://openalex.org/W3210891155","https://openalex.org/W4206511152","https://openalex.org/W4206900989","https://openalex.org/W4213185605","https://openalex.org/W4285235209","https://openalex.org/W4285288041","https://openalex.org/W4285411719","https://openalex.org/W4312340363","https://openalex.org/W4360995443","https://openalex.org/W4376454209","https://openalex.org/W4376851455","https://openalex.org/W6631230401"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2018850895","https://openalex.org/W1655370001","https://openalex.org/W2133502576","https://openalex.org/W1967665284","https://openalex.org/W4390187445","https://openalex.org/W1990799928"],"abstract_inverted_index":{"Due":[0],"to":[1,15,30,45,68,109,154,209,232],"sensor":[2],"design":[3],"limitations":[4],"and":[5,24,35,55,97,100,106,118,203,228,251,255,258],"the":[6,32,79,123,139,156,172,181,192,204,211,221,234],"influence":[7],"of":[8,41,66,141,237],"weather":[9],"factors,":[10],"it":[11],"is":[12,175,188],"currently":[13],"challenging":[14],"obtain":[16],"remote":[17,42,48,74,111],"sensing":[18,43,49,75,112],"images":[19,44,93,102,113],"with":[20,51,94,103,114,161,191,199,216],"high":[21,52,104,115,217],"temporal,":[22,33,53,116],"spatial,":[23,34,54,117],"spectral":[25,36,56,119],"resolution.":[26,57,120,219],"Spatial-temporal-spectral":[27],"fusion":[28,235,249],"aims":[29],"integrate":[31],"information":[37],"from":[38],"multiple":[39],"sources":[40],"reconstruct":[46,110,210],"a":[47,128,147],"image":[50,208,215],"Existing":[58],"methods":[59],"typically":[60],"require":[61],"at":[62,78,166],"least":[63],"three":[64,225],"types":[65],"data":[67,76],"achieve":[69],"spatial-temporal-spectral":[70],"fusion.":[71],"However,":[72],"acquiring":[73],"observed":[77],"same":[80],"time":[81,178,193,205,212],"poses":[82],"significant":[83],"difficulties.":[84],"The":[85,241],"major":[86],"challenge":[87],"lies":[88],"in":[89],"effectively":[90],"utilizing":[91,146],"hyperspectral":[92,157,183,195,214],"low":[95,162,200],"spatial":[96,107,163,201,218],"temporal":[98,105],"resolution":[99,108,164,202],"multispectral":[101,207],"To":[121],"address":[122],"aforementioned":[124],"issues,":[125],"we":[126,223],"propose":[127],"novel":[129],"unsupervised":[130],"3D":[131,142,148,182],"tensor":[132,143,150,158,184,196],"subspace":[133,144,151,159,185,197],"decomposition":[134],"network.":[135],"Our":[136],"method":[137,246],"incorporates":[138],"theory":[140],"decomposition,":[145],"hyperspectral/multispectral":[149],"extraction":[152],"network":[153,187],"predict":[155],"features":[160,198],"missing":[165,173],"other":[167],"times":[168],"(To":[169],"better":[170],"understand,":[171],"moment":[174],"defined":[176],"as":[177],"2).":[179],"Subsequently,":[180],"reconstruction":[186],"employed":[189],"along":[190],"2":[194,206,213],"In":[220],"experiment,":[222],"utilize":[224],"simulated":[226],"datasets":[227,231],"two":[229],"real":[230],"evaluate":[233],"performance":[236],"our":[238,245],"proposed":[239],"method.":[240],"results":[242,250],"demonstrate":[243],"that":[244],"achieves":[247],"high-quality":[248],"exhibits":[252],"comparable":[253],"performance,":[254],"has":[256],"robustness":[257],"practicality.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":18}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
