{"id":"https://openalex.org/W4412567564","doi":"https://doi.org/10.1109/tgrs.2025.3591569","title":"Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data","display_name":"Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412567564","doi":"https://doi.org/10.1109/tgrs.2025.3591569"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3591569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3591569","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tgrs.2025.3591569","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116634428","display_name":"Robert Platt","orcid":"https://orcid.org/0009-0003-1756-1760"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robert Platt","raw_affiliation_strings":["Department of Earth Science and Engineering and the Data Science Institute, Imperial College London, London, U.K","Earth Science and Engineering Department, Imperial College London, London, England"],"raw_orcid":"https://orcid.org/0009-0003-1756-1760","affiliations":[{"raw_affiliation_string":"Department of Earth Science and Engineering and the Data Science Institute, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Earth Science and Engineering Department, Imperial College London, London, England","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056621236","display_name":"Zayad AlZayer","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zayad AlZayer","raw_affiliation_strings":["Department of Earth Science and Engineering, Imperial College London, London, U.K","Earth Science and Engineering Department, Imperial College London, London, England"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Science and Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Earth Science and Engineering Department, Imperial College London, London, England","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085852399","display_name":"Rossella Arcucci","orcid":"https://orcid.org/0000-0002-9471-0585"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rossella Arcucci","raw_affiliation_strings":["Department of Earth Science and Engineering and the Data Science Institute, Imperial College London, London, U.K","Earth Science and Engineering Department, Imperial College London, London, England"],"raw_orcid":"https://orcid.org/0000-0002-9471-0585","affiliations":[{"raw_affiliation_string":"Department of Earth Science and Engineering and the Data Science Institute, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Earth Science and Engineering Department, Imperial College London, London, England","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081422106","display_name":"C\u00e9dric M. John","orcid":"https://orcid.org/0000-0001-9711-1548"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C\u00e9dric M. John","raw_affiliation_strings":["Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K","Digital Environment Research Institute (DERI), Queen Mary University of London, London, England"],"raw_orcid":"https://orcid.org/0000-0001-9711-1548","affiliations":[{"raw_affiliation_string":"Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Digital Environment Research Institute (DERI), Queen Mary University of London, London, England","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91114274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.5637000203132629,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.5637000203132629,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8502099514007568},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6105026602745056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5945266485214233},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5234339237213135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40172380208969116},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20781993865966797}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8502099514007568},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6105026602745056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5945266485214233},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5234339237213135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40172380208969116},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20781993865966797}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3591569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3591569","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1109/tgrs.2025.3591569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3591569","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1484635710","https://openalex.org/W1752008511","https://openalex.org/W1874374897","https://openalex.org/W1901129140","https://openalex.org/W1985620474","https://openalex.org/W2015091271","https://openalex.org/W2016045532","https://openalex.org/W2039406687","https://openalex.org/W2047988985","https://openalex.org/W2090715229","https://openalex.org/W2108201068","https://openalex.org/W2120147741","https://openalex.org/W2120371312","https://openalex.org/W2122286377","https://openalex.org/W2125610349","https://openalex.org/W2126230369","https://openalex.org/W2130942532","https://openalex.org/W2136131734","https://openalex.org/W2166729890","https://openalex.org/W2282278185","https://openalex.org/W2523400605","https://openalex.org/W2756839217","https://openalex.org/W2773213923","https://openalex.org/W2806155925","https://openalex.org/W2914736033","https://openalex.org/W2924882267","https://openalex.org/W2930389570","https://openalex.org/W2935130647","https://openalex.org/W3013064625","https://openalex.org/W3047536866","https://openalex.org/W3087103930","https://openalex.org/W3088941675","https://openalex.org/W3135509966","https://openalex.org/W3159754806","https://openalex.org/W3214916413","https://openalex.org/W4206024048","https://openalex.org/W4224247190","https://openalex.org/W4281487305","https://openalex.org/W4283312120","https://openalex.org/W4310260446","https://openalex.org/W4313595644","https://openalex.org/W4319303205","https://openalex.org/W4319786349","https://openalex.org/W4367835710","https://openalex.org/W4396915036","https://openalex.org/W4406185564","https://openalex.org/W6684642658","https://openalex.org/W6742864230","https://openalex.org/W6749271710","https://openalex.org/W6756336945","https://openalex.org/W6767185500","https://openalex.org/W6785999971","https://openalex.org/W6852797657","https://openalex.org/W6869071366"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"The":[0],"use":[1,96],"of":[2,19,26,37,47,58,140,143,176,183,191],"hyperspectral":[3,81],"data":[4,60,103],"from":[5],"the":[6,24,27,35,48,123,132,141,173,199],"Compact":[7],"Reconnaissance":[8],"Imaging":[9],"Spectrometer":[10],"for":[11,95,131,164,189,194],"Mars":[12],"(CRISM)":[13],"has":[14,31,186],"uncovered":[15],"a":[16,55,70],"wide":[17],"range":[18],"previously":[20,162],"undetected":[21],"minerals":[22],"on":[23,117,125],"surface":[25],"red":[28],"planet,":[29],"and":[30,50,65,167],"been":[32],"instrumental":[33],"in":[34,53,97,128],"selection":[36],"multiple":[38],"rover":[39,202],"mission":[40],"landing":[41,192],"sites.":[42],"Yet,":[43],"due":[44],"to":[45,79,149,156,180],"aging":[46],"sensor":[49],"an":[51],"increase":[52,172],"noise,":[54],"significant":[56],"portion":[57],"CRISM":[59,150],"is":[61],"deemed":[62],"too":[63],"degraded":[64],"remains":[66],"unanalysed.":[67],"We":[68,107,120,152],"present":[69],"new":[71],"data-driven":[72],"model":[73,84,170],"architecture,":[74],"Noise-to-Noise-for-Mars":[75],"(N2N4M),":[76],"designed":[77],"specifically":[78],"denoise":[80],"data.":[82,151],"Our":[83],"does":[85,104],"not":[86,105],"require":[87],"zero-noise":[88],"target":[89],"data,":[90],"making":[91],"it":[92],"well":[93],"suited":[94],"Planetary":[98],"Science":[99],"applications":[100],"where":[101],"such":[102,197],"exist.":[106],"demonstrate":[108,168],"its":[109],"strong":[110],"performance":[111,146],"over":[112],"benchmark":[113,135],"methods,":[114],"outperforming":[115],"them":[116],"most":[118],"metrics.":[119],"suggest":[121],"that":[122],"reliance":[124],"spatial":[126],"correlations":[127],"noise":[129],"profiles":[130],"deep":[133],"learning":[134],"methods":[136],"may":[137],"be":[138],"part":[139],"cause":[142],"their":[144],"poor":[145],"when":[147],"applied":[148],"apply":[153],"our":[154,169],"methodology":[155],"two":[157],"case":[158],"study":[159],"sites,":[160],"each":[161],"studied":[163],"hydrated":[165],"mineralogy,":[166],"can":[171],"visual":[174],"clarity":[175],"summary":[177],"parameters":[178],"used":[179],"highlight":[181],"areas":[182],"interest.":[184],"This":[185],"potential":[187],"impacts":[188],"characterisation":[190],"sites":[193],"upcoming":[195],"missions":[196],"as":[198],"ESA\u2019s":[200],"ExoMars":[201],"mission.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}