{"id":"https://openalex.org/W4395017679","doi":"https://doi.org/10.1109/tgrs.2024.3391175","title":"Auto-Robust Relative Radiometric Normalization via Latent Change Noise Modeling","display_name":"Auto-Robust Relative Radiometric Normalization via Latent Change Noise Modeling","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395017679","doi":"https://doi.org/10.1109/tgrs.2024.3391175"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3391175","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3391175","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/A5100451051","display_name":"Shiqi Liu","orcid":"https://orcid.org/0000-0002-9165-3132"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shiqi Liu","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364381","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-6345-3873"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["CASIC Space Engineering Development Company Ltd., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"CASIC Space Engineering Development Company Ltd., Wuhan, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036888370","display_name":"Jie Lian","orcid":"https://orcid.org/0000-0003-4964-7289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Lian","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331624","display_name":"Cong Liu","orcid":"https://orcid.org/0000-0002-9796-1371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Liu","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091822202","display_name":"Xuchen Zhan","orcid":"https://orcid.org/0000-0003-1204-7431"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchen Zhan","raw_affiliation_strings":["CASIC Space Engineering Development Company Ltd., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"CASIC Space Engineering Development Company Ltd., Wuhan, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101340623","display_name":"Jie Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427905","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0001-8545-1844"},"institutions":[{"id":"https://openalex.org/I4210156380","display_name":"Hubei Urban Construction Vocational and Technological College","ror":"https://ror.org/05bkcgf50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Hubei Urban Construction Vocational and Technological College, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Hubei Urban Construction Vocational and Technological College, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210156380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113921114","display_name":"Dong Geng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Geng","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019873734","display_name":"Hongwei Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongwei Duan","raw_affiliation_strings":["Changjiang Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Changjiang Institute of Technology, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113184383","display_name":"Shengbing Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengbing Zou","raw_affiliation_strings":["Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Beijing Data Intelligence Information Technology Company Ltd., Wuhan, Hubei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100451051"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04633666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9944999814033508,"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":0.9886999726295471,"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/normalization","display_name":"Normalization (sociology)","score":0.773891270160675},{"id":"https://openalex.org/keywords/radiometric-dating","display_name":"Radiometric dating","score":0.6873990893363953},{"id":"https://openalex.org/keywords/radiometry","display_name":"Radiometry","score":0.6373327970504761},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6166290044784546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4000169336795807},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.27797383069992065}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.773891270160675},{"id":"https://openalex.org/C170187044","wikidata":"https://www.wikidata.org/wiki/Q214753","display_name":"Radiometric dating","level":2,"score":0.6873990893363953},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.6373327970504761},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6166290044784546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4000169336795807},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27797383069992065},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3391175","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3391175","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W62203920","https://openalex.org/W1511986666","https://openalex.org/W1969750224","https://openalex.org/W1998595580","https://openalex.org/W2005156666","https://openalex.org/W2036798369","https://openalex.org/W2044321382","https://openalex.org/W2044542525","https://openalex.org/W2051103995","https://openalex.org/W2053742104","https://openalex.org/W2058860098","https://openalex.org/W2077509829","https://openalex.org/W2079082863","https://openalex.org/W2079740553","https://openalex.org/W2085637561","https://openalex.org/W2101719682","https://openalex.org/W2125763679","https://openalex.org/W2138507544","https://openalex.org/W2139267096","https://openalex.org/W2331011597","https://openalex.org/W2492283655","https://openalex.org/W2492899067","https://openalex.org/W2571047004","https://openalex.org/W2585357012","https://openalex.org/W2618422320","https://openalex.org/W2893801697","https://openalex.org/W2901027600","https://openalex.org/W2904790741","https://openalex.org/W2921442714","https://openalex.org/W3027225766","https://openalex.org/W3039756735","https://openalex.org/W3093905312","https://openalex.org/W3104436273","https://openalex.org/W3139316975","https://openalex.org/W3169133251","https://openalex.org/W3178674346","https://openalex.org/W4214564766","https://openalex.org/W4225808788","https://openalex.org/W4287102299","https://openalex.org/W6680556597","https://openalex.org/W6723293129","https://openalex.org/W6790567483","https://openalex.org/W6796053033","https://openalex.org/W6803851375"],"related_works":["https://openalex.org/W2043581185","https://openalex.org/W3112266402","https://openalex.org/W2055439495","https://openalex.org/W2499675453","https://openalex.org/W3009062694","https://openalex.org/W4251278052","https://openalex.org/W3047498193","https://openalex.org/W146968608","https://openalex.org/W3116252618","https://openalex.org/W2347506004"],"abstract_inverted_index":{"Relative":[0],"radiometric":[1,126,208],"normalization":[2,31,127],"(RRN)":[3],"of":[4,8,45,130,151],"different":[5],"satellite":[6],"images":[7],"the":[9,42,85,135,168,192,196,200,222,234,240],"same":[10],"terrain":[11],"is":[12,33,251],"essential":[13],"for":[14,29,59,124,190],"change":[15,79,96,205,236],"detection,":[16],"object":[17,52,60],"classification/segmentation,":[18],"and":[19,67,73,116,144,162,178,186,210,229,246],"map-making":[20],"tasks.":[21,154],"However,":[22],"identifying":[23],"increasingly":[24],"comprehensive":[25],"no-change":[26],"(NC)":[27],"points":[28,89,97],"better":[30],"generalization":[32],"crucial.":[34],"Traditional":[35],"RRN":[36,55,75,136,164],"models":[37,56],"struggle":[38],"to":[39,149,167,203,226],"robustly":[40],"derive":[41],"complete":[43],"set":[44,242],"NC":[46,88,158,197,223,241],"points,":[47],"often":[48],"being":[49],"disrupted":[50],"by":[51],"changes.":[53,179],"Additionally,":[54],"that":[57,87],"account":[58],"changes":[61],"precisely":[62],"may":[63],"require":[64],"human":[65],"involvement":[66],"instructions.":[68],"This":[69,139],"article":[70],"proposes":[71],"automated":[72],"robust":[74,174],"methods":[76],"through":[77],"latent":[78],"noise":[80,92,100,132],"modeling.":[81],"They":[82],"capitalize":[83],"on":[84],"observation":[86],"exhibit":[90,98],"small-scale":[91],"under":[93],"RRN,":[94],"while":[95],"large-scale":[99],"after":[101],"normalization.":[102],"The":[103,249],"proposed":[104],"model":[105,140,202],"benefits":[106],"from":[107],"a":[108,184],"strong":[109],"theoretical":[110],"foundation":[111],"grounded":[112],"in":[113,233],"probabilistic":[114],"theory":[115],"mathematical":[117],"deduction.":[118],"Specifically,":[119],"we":[120],"integrate":[121],"histogram":[122],"matching":[123],"relative":[125],"with":[128],"mixture":[129],"Gaussian":[131],"(HM-RRN-MoG)":[133],"as":[134],"learning":[137],"scheme.":[138],"demonstrates":[141],"effective":[142],"performance":[143,165],"has":[145,156],"been":[146],"successfully":[147],"applied":[148],"hundreds":[150],"image":[152],"production":[153],"HM-RRN-MoG":[155,201],"impressive":[157],"prediction":[159],"accuracy":[160],"(70%)":[161],"superior":[163],"compared":[166],"state-of-the-art":[169],"models.":[170],"Furthermore,":[171],"it":[172],"exhibits":[173],"behavior":[175],"against":[176],"clouds":[177],"Our":[180],"method":[181],"also":[182],"offers":[183],"natural":[185],"valuable":[187],"evaluation":[188],"metric":[189],"RRN:":[191],"root-mean-square":[193],"error":[194],"within":[195,221],"set.":[198],"Applying":[199],"vegetation/water":[204],"detection":[206,237],"reduces":[207,244],"contrast":[209],"normalized":[211],"difference":[212,216],"vegetation":[213],"index":[214,218],"(NDVI)/normalized":[215],"water":[217],"(NDWI)":[219],"differences":[220],"set,":[224],"leading":[225],"more":[227],"consistent":[228],"comparable":[230],"results.":[231],"Similarly,":[232],"building":[235],"task,":[238],"utilizing":[239],"effectively":[243],"pseudo-changes":[245],"boosts":[247],"precision.":[248],"code":[250],"available":[252],"at":[253],"<uri":[254],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[255],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/647LiuSQ/HM-MoG-RRN/tree/main</uri>.":[256]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
