{"id":"https://openalex.org/W3216721694","doi":"https://doi.org/10.1109/tgrs.2021.3131878","title":"MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising","display_name":"MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3216721694","doi":"https://doi.org/10.1109/tgrs.2021.3131878","mag":"3216721694"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3131878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3131878","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/A5033291716","display_name":"Fengchao Xiong","orcid":"https://orcid.org/0000-0002-9753-4919"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengchao Xiong","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9753-4919","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5822-8233","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082624137","display_name":"Qinling Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinling Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037595310","display_name":"Jianfeng Lu","orcid":"https://orcid.org/0000-0002-9190-507X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9190-507X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7418-5891","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0299,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.97375019,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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":0.9980999827384949,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8266388177871704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6117553114891052},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6063687205314636},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5691390633583069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680503249168396},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5664492845535278},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5146342515945435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4581663906574249},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4572649896144867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4139425754547119},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35085371136665344},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18600872159004211}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8266388177871704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6117553114891052},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6063687205314636},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5691390633583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680503249168396},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5664492845535278},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5146342515945435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4581663906574249},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4572649896144867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4139425754547119},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35085371136665344},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18600872159004211}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2021.3131878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3131878","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"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/411547","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/411547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1583088338","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4546988675","display_name":null,"funder_award_id":"61902185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5507728153","display_name":"\u9065\u611f\u5f71\u50cf\u6b27\u6c0f\u548c\u975e\u6b27\u7ed3\u6784\u534f\u540c\u5efa\u6a21\u548c\u8868\u793a\u5b66\u4e60\u7814\u7a76","funder_award_id":"62071421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5823314271","display_name":null,"funder_award_id":"2018AAA0100500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7111116793","display_name":null,"funder_award_id":"BK20190448","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8405162171","display_name":null,"funder_award_id":"62002169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8688142813","display_name":null,"funder_award_id":"BK20200466","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1928626817","https://openalex.org/W1944540851","https://openalex.org/W1974438823","https://openalex.org/W1985242206","https://openalex.org/W1994040806","https://openalex.org/W2023005931","https://openalex.org/W2056370875","https://openalex.org/W2072026894","https://openalex.org/W2095906131","https://openalex.org/W2140702875","https://openalex.org/W2153663612","https://openalex.org/W2221872968","https://openalex.org/W2336406062","https://openalex.org/W2406093411","https://openalex.org/W2414009677","https://openalex.org/W2500751094","https://openalex.org/W2508457857","https://openalex.org/W2585357012","https://openalex.org/W2743606449","https://openalex.org/W2747865121","https://openalex.org/W2775829438","https://openalex.org/W2784344583","https://openalex.org/W2790888198","https://openalex.org/W2793218933","https://openalex.org/W2793237446","https://openalex.org/W2806155925","https://openalex.org/W2890927230","https://openalex.org/W2914736033","https://openalex.org/W2919746781","https://openalex.org/W2959148625","https://openalex.org/W2963091558","https://openalex.org/W2964179170","https://openalex.org/W2972029982","https://openalex.org/W2972301798","https://openalex.org/W2972435376","https://openalex.org/W2979001238","https://openalex.org/W2982007765","https://openalex.org/W2984522085","https://openalex.org/W2991209609","https://openalex.org/W2999482976","https://openalex.org/W3004433344","https://openalex.org/W3004968762","https://openalex.org/W3013064625","https://openalex.org/W3015126059","https://openalex.org/W3042671644","https://openalex.org/W3048794210","https://openalex.org/W3090929676","https://openalex.org/W3092426727","https://openalex.org/W3098435832","https://openalex.org/W3105997607","https://openalex.org/W3118496544","https://openalex.org/W3118914778","https://openalex.org/W3133902371","https://openalex.org/W3134334503","https://openalex.org/W3147172970","https://openalex.org/W3159843306","https://openalex.org/W3160949528","https://openalex.org/W3160980664","https://openalex.org/W3166943687","https://openalex.org/W6739901393","https://openalex.org/W6771571646"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"denoising":[3,35,121,144],"is":[4,13,21,201],"an":[5,44],"ill-posed":[6],"inverse":[7],"problem.":[8],"The":[9,238],"underlying":[10],"physical":[11],"model":[12,57,77,100,200],"always":[14],"important":[15],"to":[16,165,183,203],"tackle":[17],"this":[18,39,41,111,244],"problem,":[19],"which":[20,51],"unfortunately":[22],"ignored":[23],"by":[24,70],"most":[25,193],"of":[26,73,146,154,162,179,190,208,215,243],"the":[27,54,71,74,80,85,108,124,141,147,177,184,197,205,209,213,221],"current":[28],"deep":[29,60],"learning":[30,186],"(DL)-based":[31],"methods,":[32,173,196],"producing":[33],"poor":[34],"performance.":[36],"To":[37],"address":[38],"issue,":[40],"article":[42,245],"introduces":[43],"end-to-end":[45],"model-aided":[46],"nonlocal":[47,86,105,128],"neural":[48,156],"network":[49,157,210],"(MAC-Net)":[50],"simultaneously":[52],"takes":[53],"spectral":[55,75,82,98,131,198],"low-rank":[56,76,99,132,199],"and":[58,84,101,118,127,130,143,158,187,211,223,235,241],"spatial":[59,91,125],"prior":[61,88],"into":[62,107],"account":[63],"for":[64,255],"HSI":[65,120],"noise":[66],"reduction.":[67],"Specifically,":[68],"motivated":[69],"success":[72],"in":[78,89],"depicting":[79],"strong":[81,185],"correlations":[83],"similarity":[87],"capturing":[90],"long-range":[92],"dependencies,":[93],"we":[94,113,139],"first":[95],"build":[96],"a":[97,104,115,151,155,160],"then":[102],"integrate":[103],"U-Net":[106],"model.":[109],"In":[110],"way,":[112],"obtain":[114],"hybrid":[116,148],"model-based":[117,172,234],"DL-based":[119,195,236],"method":[122,149],"where":[123],"local":[126],"multi-scale":[129],"structures":[133],"are":[134],"effectively":[135],"exploited.":[136],"After":[137],"that,":[138],"cast":[140],"optimization":[142],"procedure":[145],"as":[150],"forward":[152],"process":[153],"introduce":[159],"set":[161],"learnable":[163],"modules":[164],"yield":[166],"our":[167,174],"MAC-Net.":[168],"Compared":[169],"with":[170],"traditional":[171],"MAC-Net":[175,228],"overcomes":[176],"difficulties":[178],"accurate":[180],"modeling,":[181],"thanks":[182],"representation":[188],"ability":[189,207],"DL.":[191],"Unlike":[192],"\u201cblack-box\u201d":[194],"beneficial":[202],"increase":[204],"generalization":[206],"decrease":[212],"requirement":[214],"training":[216],"samples.":[217],"Experimental":[218],"results":[219],"on":[220],"natural":[222],"remote-sensing":[224],"HSIs":[225],"show":[226],"that":[227],"achieves":[229],"state-of-the-art":[230],"performance":[231],"over":[232],"both":[233],"methods.":[237],"source":[239],"code":[240],"data":[242],"will":[246],"be":[247],"made":[248],"publicly":[249],"available":[250],"at":[251],"<uri":[252],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[253],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/bearshng/mac-net</uri>":[254],"reproducible":[256],"research.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}