{"id":"https://openalex.org/W3190408243","doi":"https://doi.org/10.1109/access.2021.3101110","title":"Relative Radiation Correction Based on CycleGAN for Visual Perception Improvement in High-Resolution Remote Sensing Images","display_name":"Relative Radiation Correction Based on CycleGAN for Visual Perception Improvement in High-Resolution Remote Sensing Images","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3190408243","doi":"https://doi.org/10.1109/access.2021.3101110","mag":"3190408243"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3101110","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3101110","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09500223.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09500223.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101859906","display_name":"Xiao Yu","orcid":"https://orcid.org/0000-0002-0514-1625"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yu","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","XAG Company Ltd., Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0514-1625","affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"XAG Company Ltd., Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078842042","display_name":"Junfu Fan","orcid":"https://orcid.org/0000-0001-8987-7930"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfu Fan","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0001-8987-7930","affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068200433","display_name":"Mengzhen Zhang","orcid":"https://orcid.org/0000-0003-2380-3722"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhen Zhang","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0003-2380-3722","affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713361","display_name":"Qingyun Liu","orcid":"https://orcid.org/0000-0003-1178-6232"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Liu","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421509","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-4185-3152"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050527670","display_name":"Dafu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafu Zhang","raw_affiliation_strings":["School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059415772","display_name":"Yuke Zhou","orcid":"https://orcid.org/0000-0002-2559-0241"},"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":false,"raw_author_name":"Yuke Zhou","raw_affiliation_strings":["Ecology Observing Network and Modeling Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2559-0241","affiliations":[{"raw_affiliation_string":"Ecology Observing Network and Modeling Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2492,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57761294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"106627","last_page":"106640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9940999746322632,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924155354499817},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6915512084960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6789633631706238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5780813694000244},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5776515007019043},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5345116853713989},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5009765625},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.44495075941085815},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4391903281211853},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4117676615715027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20073038339614868},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15480124950408936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924155354499817},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6915512084960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789633631706238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5780813694000244},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5776515007019043},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5345116853713989},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5009765625},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.44495075941085815},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4391903281211853},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4117676615715027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20073038339614868},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15480124950408936},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3101110","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3101110","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09500223.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd9d0f9541c94c489bf06027df230a8a","is_oa":true,"landing_page_url":"https://doaj.org/article/fd9d0f9541c94c489bf06027df230a8a","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":"IEEE Access, Vol 9, Pp 106627-106640 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3101110","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3101110","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09500223.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2753360295","display_name":null,"funder_award_id":"4072-115016","funder_id":"https://openalex.org/F4320329790","funder_display_name":"Shandong University of Technology"},{"id":"https://openalex.org/G2876079419","display_name":null,"funder_award_id":"2017YFB0503500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3494515779","display_name":null,"funder_award_id":"2019JZZY020103","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5504722095","display_name":null,"funder_award_id":"ZR2020MD015","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6731093839","display_name":null,"funder_award_id":"4072-115016","funder_id":"https://openalex.org/F4320311026","funder_display_name":"Shandong University"},{"id":"https://openalex.org/G7209734387","display_name":null,"funder_award_id":"2018YFB0505301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7333513672","display_name":null,"funder_award_id":"ZR2020MD018","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320329790","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3190408243.pdf","grobid_xml":"https://content.openalex.org/works/W3190408243.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1242785560","https://openalex.org/W1580389772","https://openalex.org/W1686810756","https://openalex.org/W1988936047","https://openalex.org/W1992023680","https://openalex.org/W2009272644","https://openalex.org/W2039608780","https://openalex.org/W2044542525","https://openalex.org/W2046119925","https://openalex.org/W2051103995","https://openalex.org/W2099471712","https://openalex.org/W2133665775","https://openalex.org/W2139267096","https://openalex.org/W2142884912","https://openalex.org/W2143696753","https://openalex.org/W2144468361","https://openalex.org/W2147527908","https://openalex.org/W2151656099","https://openalex.org/W2194775991","https://openalex.org/W2318174907","https://openalex.org/W2332105609","https://openalex.org/W2350468451","https://openalex.org/W2352289095","https://openalex.org/W2357618485","https://openalex.org/W2357717861","https://openalex.org/W2375941698","https://openalex.org/W2377446393","https://openalex.org/W2380067197","https://openalex.org/W2381459679","https://openalex.org/W2382685065","https://openalex.org/W2387673955","https://openalex.org/W2486568968","https://openalex.org/W2538684258","https://openalex.org/W2801784514","https://openalex.org/W2807033398","https://openalex.org/W2901027600","https://openalex.org/W2924390576","https://openalex.org/W2949981374","https://openalex.org/W2951527505","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W3025557309","https://openalex.org/W3108365528","https://openalex.org/W3129494213","https://openalex.org/W3169129411","https://openalex.org/W4238944220","https://openalex.org/W4320013936","https://openalex.org/W6627952806","https://openalex.org/W6637373629","https://openalex.org/W6680556597","https://openalex.org/W6682137061","https://openalex.org/W6709214614","https://openalex.org/W6710300901","https://openalex.org/W6710937341","https://openalex.org/W6752009473","https://openalex.org/W6779669310","https://openalex.org/W6795935772","https://openalex.org/W6996329702"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509"],"abstract_inverted_index":{"The":[0,57,149,174,209,218,239],"differences":[1,11,40],"between":[2,151],"the":[3,17,31,39,67,75,79,91,99,127,139,152,157,163,169,178,196,203,223,256,268],"imaging":[4],"environments":[5],"of":[6,16,69,78,129,141,181,189,222,243,270],"sensors":[7],"lead":[8],"to":[9,34,50,135,147,171,227,246,266],"great":[10],"in":[12,20,41,258],"remote":[13,112,130,142,273],"sensing":[14,113,131,143,274],"images":[15,114,132,144,229,245,248],"same":[18],"area":[19,211],"different":[21],"seasons.":[22],"Relative":[23],"radiation":[24,43,54,81,108,192],"correction":[25,55,82,109,193],"has":[26],"high":[27],"practical":[28],"value":[29],"as":[30],"main":[32],"method":[33,183,257],"reduce":[35],"such":[36],"differences.":[37],"However,":[38],"vegetation":[42],"caused":[44],"by":[45,52,115,162,232,251],"seasonal":[46,106],"changes":[47],"are":[48],"difficult":[49],"correct":[51],"traditional":[53,76],"methods.":[56,238],"corrected":[58],"results":[59,65,175],"also":[60],"have":[61],"difficulty":[62],"achieving":[63],"better":[64,186],"at":[66],"level":[68],"human":[70,92,204],"eye":[71,93,205],"visual":[72,94,179,197,206,219,240],"perception.":[73],"Moreover,":[74],"measurement":[77],"relative":[80,107,153,191],"result":[83],"image":[84,155,159,275,277],"quality":[85],"index":[86],"is":[87,160,184,200,230,249],"not":[88],"consistent":[89,201],"with":[90,168,202,235],"perception":[95,198,207,220,241],"effect.":[96],"To":[97],"address":[98],"above":[100],"two":[101,124],"problems,":[102],"this":[103,182,259],"paper":[104,260],"performs":[105],"on":[110,118],"high-resolution":[111],"CycleGAN":[116],"based":[117],"a":[119],"convolutional":[120,164],"neural":[121,165],"network,":[122],"including":[123],"transformations:":[125],"1)":[126],"transformation":[128,140],"from":[133,145,225],"autumn-winter":[134,226,247],"spring-summer":[136,146,228,244],"and":[137,156,195],"2)":[138],"autumn-winter.":[148],"similarity":[150],"radiation-corrected":[154],"reference":[158],"measured":[161],"network":[166],"model":[167],"ability":[170],"discriminate":[172],"distances.":[173],"show":[176],"that":[177,188,255],"effect":[180],"significantly":[185],"than":[187],"other":[190,236],"methods,":[194],"distance":[199,221,242],"judgment.":[208],"changed":[210],"still":[212],"retains":[213],"its":[214],"original":[215],"feature":[216],"characteristics.":[217],"conversion":[224],"improved":[231,250],"9%":[233],"compared":[234],"state-of-the-art":[237],"3%.":[252],"We":[253],"expect":[254],"can":[261],"be":[262],"used":[263],"for":[264,272],"preprocessing":[265],"improve":[267],"accuracy":[269],"algorithms":[271],"classification,":[276],"change":[278],"detection,":[279],"etc.":[280]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}