{"id":"https://openalex.org/W1973621528","doi":"https://doi.org/10.1109/icecc.2004.1269585","title":"The fused Bayesian maximum entropy-variational analysis method for computer reconstruction of remote sensing imagery","display_name":"The fused Bayesian maximum entropy-variational analysis method for computer reconstruction of remote sensing imagery","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1973621528","doi":"https://doi.org/10.1109/icecc.2004.1269585","mag":"1973621528"},"language":"en","primary_location":{"id":"doi:10.1109/icecc.2004.1269585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecc.2004.1269585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.","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/A5070549269","display_name":"R.F. V\u00e1zquez-Bautista","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"R.F. Vazquez-Bautista","raw_affiliation_strings":["CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","CINVESTAV del IPN, Guadalajara, Spain"],"affiliations":[{"raw_affiliation_string":"CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV del IPN, Guadalajara, Spain","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032320629","display_name":"Yuriy V. Shkvarko","orcid":"https://orcid.org/0000-0003-4766-9548"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Y.V. Shkvarko","raw_affiliation_strings":["CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","CINVESTAV del IPN, Guadalajara, Spain"],"affiliations":[{"raw_affiliation_string":"CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV del IPN, Guadalajara, Spain","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056429001","display_name":"Luis J. Morales-Mendoza","orcid":"https://orcid.org/0000-0002-8580-2752"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L.J. Morales-Mendoza","raw_affiliation_strings":["CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","CINVESTAV del IPN, Guadalajara, Spain"],"affiliations":[{"raw_affiliation_string":"CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV del IPN, Guadalajara, Spain","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048152060","display_name":"Luis Rizo-Dom\u00ednguez","orcid":"https://orcid.org/0000-0001-9393-5320"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L. Rizo-Dominguez","raw_affiliation_strings":["CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","CINVESTAV del IPN, Guadalajara, Spain"],"affiliations":[{"raw_affiliation_string":"CINVESTAV del IPN, Unidad Guadalajara, Guadalajara, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV del IPN, Guadalajara, Spain","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070549269"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09723696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"272","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9905999898910522,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9902999997138977,"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/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.74228435754776},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6613156199455261},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5791823863983154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5385246276855469},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5084027647972107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4808312654495239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47984883189201355},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.475364625453949},{"id":"https://openalex.org/keywords/variational-analysis","display_name":"Variational analysis","score":0.4708280861377716},{"id":"https://openalex.org/keywords/maximum-entropy-method","display_name":"Maximum entropy method","score":0.4686293601989746},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4583567678928375},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4370126724243164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43295544385910034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35182005167007446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32776308059692383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.27232569456100464},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.13613438606262207},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09451675415039062}],"concepts":[{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.74228435754776},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6613156199455261},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5791823863983154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5385246276855469},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5084027647972107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4808312654495239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47984883189201355},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.475364625453949},{"id":"https://openalex.org/C523394659","wikidata":"https://www.wikidata.org/wiki/Q17086892","display_name":"Variational analysis","level":2,"score":0.4708280861377716},{"id":"https://openalex.org/C2987321033","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Maximum entropy method","level":2,"score":0.4686293601989746},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4583567678928375},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4370126724243164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43295544385910034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35182005167007446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32776308059692383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27232569456100464},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.13613438606262207},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09451675415039062},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecc.2004.1269585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecc.2004.1269585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1785903302","https://openalex.org/W2001002651","https://openalex.org/W2028450623","https://openalex.org/W2042636425","https://openalex.org/W2098804645","https://openalex.org/W2114934004","https://openalex.org/W2125964619","https://openalex.org/W2127082417","https://openalex.org/W2150134853","https://openalex.org/W2151958211","https://openalex.org/W2155102938","https://openalex.org/W2161214672","https://openalex.org/W2921487360","https://openalex.org/W6678751293"],"related_works":["https://openalex.org/W4388393989","https://openalex.org/W2109754116","https://openalex.org/W2011775209","https://openalex.org/W989324479","https://openalex.org/W2145731432","https://openalex.org/W1563898036","https://openalex.org/W1606432911","https://openalex.org/W2132953787","https://openalex.org/W1573889165","https://openalex.org/W2083493879"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,21,30,34,43,50,64],"aggregated":[3],"Bayesian":[4,44],"maximum":[5,45],"entropy-variational":[6],"analysis":[7,23],"(BMEVA)-based":[8],"algorithm":[9],"for":[10,41],"high":[11],"resolution":[12],"radar":[13],"image":[14,58],"enhancement":[15,59],"and":[16,60],"denoising.":[17],"The":[18,55],"use":[19],"of":[20],"variational":[22],"(VA)":[24],"approach":[25],"is":[26,53,68],"formalized":[27],"by":[28],"imposing":[29],"metrics":[31],"structures":[32],"in":[33,57],"corresponding":[35],"signal":[36],"spaces.":[37],"A":[38],"new":[39],"formalism":[40],"combining":[42],"entropy":[46],"(BME)":[47],"strategy":[48],"with":[49],"VA":[51],"paradigm":[52],"developed.":[54],"advantages":[56],"denoising":[61],"achieved":[62],"using":[63],"proposed":[65],"BMEVA":[66],"method":[67],"illustrated":[69],"through":[70],"numerical":[71],"simulations.":[72]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}