{"id":"https://openalex.org/W4402259920","doi":"https://doi.org/10.1109/igarss53475.2024.10641683","title":"Feature-Domain Fidelity and Tensor Low-Rank Regularization for Cloud Removal in Remote Sensing Images","display_name":"Feature-Domain Fidelity and Tensor Low-Rank Regularization for Cloud Removal in Remote Sensing Images","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259920","doi":"https://doi.org/10.1109/igarss53475.2024.10641683"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641683","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013781210","display_name":"Wenjie Zheng","orcid":"https://orcid.org/0000-0001-7773-430X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jie Zheng","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Mathematical Sciences,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111316060","display_name":"Xiao-Xuan Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Xuan Bai","raw_affiliation_strings":["University of Electronic Science and Technology of China,Glasgow College,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Glasgow College,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084407185","display_name":"Yu\u2010Bang Zheng","orcid":"https://orcid.org/0000-0003-1756-6716"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Bang Zheng","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Technology,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082587026","display_name":"Yaru Fan","orcid":"https://orcid.org/0000-0002-8214-4440"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Ru Fan","raw_affiliation_strings":["Southwest Minzu University,School of Mathematics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Minzu University,School of Mathematics,China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Mathematical Sciences,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Le Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Mathematical Sciences,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8274","last_page":"8277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"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":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/fidelity","display_name":"Fidelity","score":0.7355180978775024},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6365984678268433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6094998717308044},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6040055155754089},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.47737619280815125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4719879925251007},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4635566473007202},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46191099286079407},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4294623136520386},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.42771977186203003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41881832480430603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40692710876464844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3861249089241028},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23465627431869507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17014342546463013},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09769043326377869},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09377479553222656}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.7355180978775024},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6365984678268433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094998717308044},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6040055155754089},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.47737619280815125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4719879925251007},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4635566473007202},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46191099286079407},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4294623136520386},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.42771977186203003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41881832480430603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40692710876464844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3861249089241028},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23465627431869507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17014342546463013},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09769043326377869},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09377479553222656},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641683","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326942","display_name":"Hubei Key Laboratory of Inland Shipping Technology","ror":null},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1963768209","https://openalex.org/W2964146769","https://openalex.org/W2972981284","https://openalex.org/W3165549846","https://openalex.org/W3173891418","https://openalex.org/W3206110352","https://openalex.org/W3207680503","https://openalex.org/W4205211519","https://openalex.org/W4206909333","https://openalex.org/W4281264741","https://openalex.org/W4366132032","https://openalex.org/W4376851534","https://openalex.org/W4389633737","https://openalex.org/W4390805382","https://openalex.org/W4391547614"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4313443006","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":{"The":[0],"pixel":[1,35],"intensity":[2],"of":[3,46,70,78,116],"remote":[4,50,86,118],"sensing":[5,51,87,119],"images":[6,52],"at":[7,53],"different":[8,54],"time":[9,55],"nodes":[10],"exhibits":[11],"significant":[12],"differences":[13],"due":[14],"to":[15,132],"factors":[16],"such":[17],"as":[18],"changes":[19],"in":[20,84],"solar":[21],"illumination":[22],"angles.":[23],"Consequently,":[24],"the":[25,33,44,66,75,91,103,113,134,148,152],"previous":[26],"cloud":[27,97],"removal":[28,98],"methods,":[29],"primarily":[30],"based":[31,127],"on":[32,128,140],"original":[34],"domain,":[36],"yield":[37],"unsatisfactory":[38],"results.":[39],"In":[40],"this":[41],"paper,":[42],"considering":[43],"sharing":[45],"similar":[47],"features":[48],"among":[49],"nodes,":[56],"we":[57,94,122],"first":[58],"design":[59],"a":[60,96],"novel":[61],"feature-domain":[62,92],"fidelity":[63],"that":[64,100,147],"leverages":[65],"feature":[67],"extraction":[68],"capability":[69],"convolution":[71],"operator,":[72],"allowing":[73],"for":[74],"precise":[76],"preservation":[77],"intricate":[79],"details":[80],"and":[81,143],"textures":[82],"inherent":[83],"multi-temporal":[85,117],"images.":[88,120],"Building":[89],"upon":[90],"fidelity,":[93],"propose":[95],"model":[99],"organically":[101],"integrates":[102],"low":[104],"fully-connected":[105],"tensor":[106],"network":[107],"rank":[108],"regularization,":[109],"which":[110],"comprehensively":[111],"captures":[112],"spatial-spectral-temporal":[114],"correlations":[115],"Moreover,":[121],"develop":[123],"an":[124],"effective":[125],"algorithm":[126],"proximal":[129],"alternating":[130],"minimization":[131],"solve":[133],"proposed":[135,149],"model.":[136],"Numerical":[137],"experiments":[138],"conducted":[139],"both":[141],"simulated":[142],"real-world":[144],"data":[145],"validate":[146],"method":[150],"outperforms":[151],"compared":[153],"ones.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}