{"id":"https://openalex.org/W4311350576","doi":"https://doi.org/10.3390/rs14246300","title":"Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising","display_name":"Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4311350576","doi":"https://doi.org/10.3390/rs14246300"},"language":"en","primary_location":{"id":"doi:10.3390/rs14246300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246300","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6300/pdf?version=1671528726","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/24/6300/pdf?version=1671528726","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080372763","display_name":"Huiqing Qi","orcid":"https://orcid.org/0000-0002-7462-4639"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqing Qi","raw_affiliation_strings":["Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","School of Mathematical Sciences, East China Normal University, Shanghai 200241, China","Shanghai Institute of AI for Education, East China Normal University, Shanghai 200062, China"],"raw_orcid":"https://orcid.org/0000-0002-7462-4639","affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Mathematical Sciences, East China Normal University, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Institute of AI for Education, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108828944","display_name":"Sheng-Li Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Tan","raw_affiliation_strings":["School of Mathematical Sciences, East China Normal University, Shanghai 200241, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, East China Normal University, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368501","display_name":"Zhichao Li","orcid":"https://orcid.org/0000-0002-6966-0432"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhichao Li","raw_affiliation_strings":["Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100368501"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2724,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81081338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"24","first_page":"6300","last_page":"6300"},"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":0.9998000264167786,"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":0.9962999820709229,"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":0.6868717670440674},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6807492971420288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.64205402135849},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6122655272483826},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5731271505355835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5550490021705627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47492605447769165},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46829572319984436},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45251986384391785},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.44865721464157104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43654394149780273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3653976321220398},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32536017894744873},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10545718669891357},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07951971888542175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868717670440674},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6807492971420288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64205402135849},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6122655272483826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5731271505355835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5550490021705627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47492605447769165},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46829572319984436},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45251986384391785},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.44865721464157104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43654394149780273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3653976321220398},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32536017894744873},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10545718669891357},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07951971888542175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14246300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246300","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6300/pdf?version=1671528726","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:df27f84e817b4cf78682b92dafe56278","is_oa":true,"landing_page_url":"https://doaj.org/article/df27f84e817b4cf78682b92dafe56278","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":"Remote Sensing, Vol 14, Iss 24, p 6300 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/24/6300/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14246300","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 24; Pages: 6300","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14246300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246300","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6300/pdf?version=1671528726","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1582852665","display_name":null,"funder_award_id":"20511100200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G1609915050","display_name":null,"funder_award_id":"22DZ2229014","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G1628665978","display_name":null,"funder_award_id":"11761141005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2841445753","display_name":null,"funder_award_id":"2018AAA0101001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2980092059","display_name":null,"funder_award_id":"11731004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5773012942","display_name":null,"funder_award_id":"CAS-WX2021PY-0109","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7123430155","display_name":null,"funder_award_id":"2018AAA0101001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7229664035","display_name":null,"funder_award_id":"No. 22DZ2229014","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7270659173","display_name":null,"funder_award_id":"22DZ2229014","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311350576.pdf","grobid_xml":"https://content.openalex.org/works/W4311350576.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1829781029","https://openalex.org/W1901129140","https://openalex.org/W1963651676","https://openalex.org/W1980038761","https://openalex.org/W1982471090","https://openalex.org/W2017399967","https://openalex.org/W2037642501","https://openalex.org/W2039596145","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2073623229","https://openalex.org/W2103559027","https://openalex.org/W2150134853","https://openalex.org/W2162692770","https://openalex.org/W2194775991","https://openalex.org/W2229600047","https://openalex.org/W2504285782","https://openalex.org/W2508457857","https://openalex.org/W2592962403","https://openalex.org/W2626107033","https://openalex.org/W2724686744","https://openalex.org/W2793146153","https://openalex.org/W2898136110","https://openalex.org/W2945418990","https://openalex.org/W2953231542","https://openalex.org/W2962853966","https://openalex.org/W2963426457","https://openalex.org/W2963446712","https://openalex.org/W2964179170","https://openalex.org/W2971719842","https://openalex.org/W2972158684","https://openalex.org/W2990307067","https://openalex.org/W2991209609","https://openalex.org/W2999653953","https://openalex.org/W3011132699","https://openalex.org/W3033491711","https://openalex.org/W3035542568","https://openalex.org/W3045407755","https://openalex.org/W3047011367","https://openalex.org/W3080848135","https://openalex.org/W3094593838","https://openalex.org/W3098337560","https://openalex.org/W3105158720","https://openalex.org/W3130486723","https://openalex.org/W3136736661","https://openalex.org/W3154493004","https://openalex.org/W3154593456","https://openalex.org/W3163377627","https://openalex.org/W3175661430","https://openalex.org/W3178192988","https://openalex.org/W3195406358","https://openalex.org/W3202492870","https://openalex.org/W4212959628","https://openalex.org/W4214902837","https://openalex.org/W4220925770","https://openalex.org/W4224104371","https://openalex.org/W4224272961","https://openalex.org/W4224315175","https://openalex.org/W4229012873","https://openalex.org/W4280546984","https://openalex.org/W4285095141","https://openalex.org/W4285303228","https://openalex.org/W4285992142","https://openalex.org/W4292363360","https://openalex.org/W6746466744","https://openalex.org/W6759001153","https://openalex.org/W6784847106","https://openalex.org/W6793595854","https://openalex.org/W6800262401","https://openalex.org/W6810126424","https://openalex.org/W6839902608"],"related_works":["https://openalex.org/W2495078643","https://openalex.org/W3010678772","https://openalex.org/W2053223715","https://openalex.org/W2612397051","https://openalex.org/W1490451209","https://openalex.org/W2586189899","https://openalex.org/W233850645","https://openalex.org/W2775199232","https://openalex.org/W2182902227","https://openalex.org/W2810034908"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,48,188],"images":[2,32],"are":[3,166],"widely":[4],"applied":[5],"in":[6,121],"instance":[7],"segmentation":[8],"and":[9,69,96,106,126,147,171],"objetive":[10],"recognition;":[11],"however,":[12],"they":[13],"often":[14],"suffer":[15],"from":[16],"noise,":[17],"influencing":[18],"the":[19,52,82,86,107,122,153,177,192],"performance":[20],"of":[21,62,85,150,162,176,194],"subsequent":[22,186],"applications.":[23],"Previous":[24],"image":[25,49,189],"denoising":[26,83],"works":[27],"have":[28],"only":[29],"obtained":[30],"restored":[31],"without":[33],"preserving":[34],"detailed":[35,141],"texture.":[36],"To":[37],"address":[38],"this":[39],"issue,":[40],"we":[41],"proposed":[42,87,90,182],"a":[43,77],"novel":[44,64],"model":[45,137],"for":[46],"remote":[47,187],"denoising,":[50],"called":[51],"anisotropic":[53],"weighted":[54],"total":[55,74],"variation":[56,75],"feature":[57],"fusion":[58],"network":[59],"(AWTVF2Net),":[60],"consisting":[61],"four":[63],"modules":[65],"(WTV-Net,":[66],"SOSB,":[67],"AuEncoder,":[68],"FB).":[70],"AWTVF2Net":[71,112,151],"combines":[72],"traditional":[73],"with":[76],"deep":[78],"neural":[79],"network,":[80],"improving":[81],"ability":[84],"approach.":[88],"Our":[89],"method":[91],"is":[92],"evaluated":[93],"by":[94],"PSNR":[95],"SSIM":[97],"metrics":[98],"on":[99,118,152],"three":[100,154],"benchmark":[101],"datasets":[102,156],"(NWPU,":[103],"PatternNet,":[104],"UCL),":[105],"experimental":[108],"results":[109],"show":[110],"that":[111],"can":[113,138,184],"obtain":[114],"0.12\u223c19.39":[115],"dB/0.0237\u223c0.5362":[116],"higher":[117],"PSNR/SSIM":[119],"values":[120,149],"Gaussian":[123],"noise":[124,128],"removal":[125,129],"mixed":[127],"tasks":[130],"than":[131,174],"State-of-The-Art":[132],"(SoTA)":[133],"algorithms.":[134],"Meanwhile,":[135],"our":[136],"preserve":[139],"more":[140],"texture":[142],"features.":[143],"The":[144,181],"SSEQ,":[145],"BLIINDS-II,":[146],"BRISQUE":[148],"real-world":[155],"(AVRIS":[157],"Indian":[158],"Pines,":[159],"ROSIS":[160],"University":[161],"Pavia,":[163],"HYDICE":[164],"Urban)":[165],"3.94\u223c12.92":[167],"higher,":[168,170],"8.33\u223c27.5":[169],"2.2\u223c5.55":[172],"lower":[173],"those":[175],"compared":[178],"methods,":[179],"respectively.":[180],"framework":[183],"guide":[185],"applications,":[190],"regarding":[191],"pre-processing":[193],"input":[195],"images.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2022-12-25T00:00:00"}
