{"id":"https://openalex.org/W4402259695","doi":"https://doi.org/10.1109/igarss53475.2024.10641948","title":"Unsupervised Denoising with Implicit Noise Mapping for Single Martian Multispectral Image","display_name":"Unsupervised Denoising with Implicit Noise Mapping for Single Martian Multispectral Image","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259695","doi":"https://doi.org/10.1109/igarss53475.2024.10641948"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641948","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":"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/A5100367633","display_name":"Junjie Li","orcid":"https://orcid.org/0000-0001-5845-7204"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051035434","display_name":"Weikun Lv","orcid":"https://orcid.org/0000-0003-1867-4436"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikun Lv","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109322821","display_name":"Jiawei Wang","orcid":"https://orcid.org/0009-0007-3242-1394"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703530","display_name":"Yumei Wang","orcid":"https://orcid.org/0000-0003-2450-6252"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumei Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100367633"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72940385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6120","last_page":"6123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9894999861717224,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8214827179908752},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7206140756607056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757888793945312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6695528626441956},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.6007603406906128},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.590189516544342},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5815644264221191},{"id":"https://openalex.org/keywords/martian","display_name":"Martian","score":0.5737891793251038},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4175957143306732},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3667624890804291},{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.26464760303497314},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26052117347717285},{"id":"https://openalex.org/keywords/astrobiology","display_name":"Astrobiology","score":0.0923771858215332}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8214827179908752},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7206140756607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757888793945312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695528626441956},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6007603406906128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.590189516544342},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5815644264221191},{"id":"https://openalex.org/C2778600265","wikidata":"https://www.wikidata.org/wiki/Q913850","display_name":"Martian","level":3,"score":0.5737891793251038},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4175957143306732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3667624890804291},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.26464760303497314},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26052117347717285},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.0923771858215332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641948","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":[{"score":0.6200000047683716,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3178192988","https://openalex.org/W3212489554","https://openalex.org/W4206151466","https://openalex.org/W4280522565","https://openalex.org/W4382457956","https://openalex.org/W4386076517","https://openalex.org/W4387802791","https://openalex.org/W4387803668","https://openalex.org/W6804159093"],"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":{"Multispectral":[0],"(MS)":[1],"images":[2,26,41,123],"of":[3,39,76,82],"Mars":[4,121],"are":[5],"extensively":[6],"used":[7],"for":[8],"material":[9],"recognition":[10],"and":[11,22,42,102],"classification.":[12],"However,":[13],"due":[14],"to":[15,66,100,104,130],"constraints":[16],"like":[17],"limited":[18,43],"lighting,":[19],"photon":[20],"issues,":[21],"atmospheric":[23],"interference,":[24],"these":[25],"inevitably":[27],"suffer":[28],"from":[29],"noise,":[30,68],"which":[31,69],"greatly":[32],"hinders":[33],"their":[34,46],"further":[35],"applications.":[36],"The":[37],"scarcity":[38],"MS":[40,122],"research":[44],"on":[45,73],"inherent":[47],"noise":[48,89,105],"characteristics":[49,90],"make":[50],"denoising":[51,119],"a":[52,61],"more":[53],"challenging":[54],"task.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"employ":[60],"novel":[62],"unsupervised":[63],"estimation":[64],"technique":[65],"quantify":[67],"does":[70],"not":[71,114],"depend":[72],"prior":[74],"knowledge":[75],"distributions,":[77],"thereby":[78],"enabling":[79],"implicit":[80],"modeling":[81],"the":[83,87,97],"noise.":[84],"By":[85],"integrating":[86],"quantified":[88],"into":[91],"denosing":[92],"model":[93],"with":[94],"attention":[95],"mechanism,":[96],"model\u2019s":[98],"ability":[99],"perceive":[101],"adapt":[103],"is":[106],"significantly":[107],"enhanced.":[108],"Experiment":[109],"shows":[110],"that":[111],"our":[112],"method":[113],"only":[115],"proves":[116],"effective":[117],"in":[118],"raw":[120],"but":[124],"also":[125],"demonstrates":[126],"competitive":[127],"performance":[128],"compared":[129],"state-of-the-art":[131],"methods.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
