{"id":"https://openalex.org/W2541922705","doi":"https://doi.org/10.1109/nnsp.2003.1318009","title":"Neuro-variational inversion of ocean color imagery","display_name":"Neuro-variational inversion of ocean color imagery","publication_year":2004,"publication_date":"2004-10-19","ids":{"openalex":"https://openalex.org/W2541922705","doi":"https://doi.org/10.1109/nnsp.2003.1318009","mag":"2541922705"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2003.1318009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","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/A5004228530","display_name":"C\u00e9dric Jamet","orcid":"https://orcid.org/0000-0001-6988-6506"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Jamet","raw_affiliation_strings":["LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France"],"affiliations":[{"raw_affiliation_string":"LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042022387","display_name":"Sylvie Thiria","orcid":"https://orcid.org/0000-0002-2016-4040"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Thiria","raw_affiliation_strings":["LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France"],"affiliations":[{"raw_affiliation_string":"LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013712294","display_name":"C. Moulin","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210124937","display_name":"Laboratoire des Sciences du Climat et de l'Environnement","ror":"https://ror.org/03dsd0g48","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210124937","https://openalex.org/I4210148025"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Moulin","raw_affiliation_strings":["LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France","LSCE/IPSL, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France","institution_ids":["https://openalex.org/I39804081"]},{"raw_affiliation_string":"LSCE/IPSL, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210124937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035621017","display_name":"Michel Cr\u00e9pon","orcid":"https://orcid.org/0000-0001-9558-419X"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Crepon","raw_affiliation_strings":["LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France"],"affiliations":[{"raw_affiliation_string":"LODyC/ISPL, Universite Pierre et Marie Curie france, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004228530"],"corresponding_institution_ids":["https://openalex.org/I39804081"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48616082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9896000027656555,"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":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.7311018705368042},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.7266200184822083},{"id":"https://openalex.org/keywords/ocean-color","display_name":"Ocean color","score":0.6709049940109253},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5940180420875549},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5887244939804077},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.5614672303199768},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.5253008008003235},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5121097564697266},{"id":"https://openalex.org/keywords/seawifs","display_name":"SeaWiFS","score":0.49436426162719727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4687155783176422},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.45134279131889343},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.43345656991004944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3378818929195404},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3297467827796936},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2548331618309021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24509140849113464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2323586344718933},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21154865622520447},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17313766479492188},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10956287384033203}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7311018705368042},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.7266200184822083},{"id":"https://openalex.org/C2776939893","wikidata":"https://www.wikidata.org/wiki/Q7076134","display_name":"Ocean color","level":3,"score":0.6709049940109253},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5940180420875549},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5887244939804077},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.5614672303199768},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.5253008008003235},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5121097564697266},{"id":"https://openalex.org/C117082904","wikidata":"https://www.wikidata.org/wiki/Q2261857","display_name":"SeaWiFS","level":4,"score":0.49436426162719727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4687155783176422},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.45134279131889343},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.43345656991004944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3378818929195404},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3297467827796936},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2548331618309021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24509140849113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2323586344718933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21154865622520447},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17313766479492188},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10956287384033203},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nnsp.2003.1318009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W2038677624","https://openalex.org/W2060105161","https://openalex.org/W2086558389","https://openalex.org/W2108974415","https://openalex.org/W2131752879","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W3146018394","https://openalex.org/W2079478622","https://openalex.org/W186901623","https://openalex.org/W1605842305","https://openalex.org/W2049857224","https://openalex.org/W2088400880","https://openalex.org/W4384929306","https://openalex.org/W2996732484","https://openalex.org/W2745075389","https://openalex.org/W2003475048"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,17,59,99,117],"neuro-variational":[4],"method":[5,13,88],"to":[6,91],"invert":[7],"satellite":[8,69],"ocean":[9],"color":[10],"signal.":[11],"The":[12,26,54,87,133],"is":[14,64,131],"based":[15],"on":[16],"combination":[18],"of":[19,47,111,120,127],"neural":[20,33,74],"networks":[21,34],"and":[22,40,43,72,84,94],"classical":[23],"variational":[24],"inversion.":[25],"radiative":[27],"transfer":[28],"equations":[29],"are":[30,37],"modeled":[31],"by":[32],"whose":[35],"input":[36],"the":[38,45,48,65,68,73,78,82],"oceanic":[39,83,95],"atmospheric":[41,85,93,122],"parameters":[42,80],"output":[44],"top":[46],"atmosphere":[49],"reflectance":[50,71],"at":[51],"several":[52],"wavelengths.":[53],"procedure":[55],"consists":[56],"in":[57],"minimizing":[58],"quadratic":[60],"cost":[61],"function":[62],"which":[63],"distance":[66],"between":[67],"observed":[70],"network":[75],"computed":[76],"reflectance,":[77],"control":[79],"being":[81],"parameters.":[86,96,123],"allows":[89],"us":[90],"retrieve":[92,106],"We":[97,102],"present":[98],"feasibility":[100],"experiment.":[101],"show":[103],"we":[104,114],"can":[105,115],"Chl-a":[107,134],"with":[108],"an":[109,125],"error":[110],"19.7%":[112],"if":[113],"obtain":[116],"perfect":[118],"knowledge":[119],"three":[121],"Finally,":[124],"inversion":[126],"one":[128],"SeaWiFS":[129],"image":[130],"presented.":[132],"give":[135],"coherent":[136],"spatial":[137],"structures.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
