{"id":"https://openalex.org/W4312442884","doi":"https://doi.org/10.1109/whispers56178.2022.9955091","title":"A Fractal Dimension Estimator For Multispectral Images","display_name":"A Fractal Dimension Estimator For Multispectral Images","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4312442884","doi":"https://doi.org/10.1109/whispers56178.2022.9955091"},"language":"en","primary_location":{"id":"doi:10.1109/whispers56178.2022.9955091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023410095","display_name":"Mihai Ivanovici","orcid":"https://orcid.org/0000-0002-0803-2918"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Mihai Ivanovici","raw_affiliation_strings":["Transilvania University of Braşov,MIV Imaging and Vision Laboratory,Electronics and Computers Department,România"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transilvania University of Braşov,MIV Imaging and Vision Laboratory,Electronics and Computers Department,România","institution_ids":["https://openalex.org/I3123573182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023410095"],"corresponding_institution_ids":["https://openalex.org/I3123573182"],"apc_list":null,"apc_paid":null,"fwci":1.1621,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82137268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14082","display_name":"Modeling, Simulation, and Optimization","score":0.9465000033378601,"subfield":{"id":"https://openalex.org/subfields/2607","display_name":"Discrete Mathematics and Combinatorics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9024999737739563,"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/multispectral-image","display_name":"Multispectral image","score":0.8910647630691528},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6938937902450562},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.6808452606201172},{"id":"https://openalex.org/keywords/fractional-brownian-motion","display_name":"Fractional Brownian motion","score":0.677415668964386},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.6423012018203735},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5471951961517334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5408473610877991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.518770694732666},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48627912998199463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42670345306396484},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42074090242385864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41293537616729736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3976747989654541},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.39645877480506897},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14858290553092957},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.131477952003479}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8910647630691528},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6938937902450562},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.6808452606201172},{"id":"https://openalex.org/C108819105","wikidata":"https://www.wikidata.org/wiki/Q1143293","display_name":"Fractional Brownian motion","level":3,"score":0.677415668964386},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.6423012018203735},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5471951961517334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408473610877991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.518770694732666},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48627912998199463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42670345306396484},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42074090242385864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41293537616729736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3976747989654541},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.39645877480506897},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14858290553092957},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.131477952003479},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers56178.2022.9955091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1493647865","https://openalex.org/W1648096614","https://openalex.org/W1920674727","https://openalex.org/W1968375151","https://openalex.org/W2007298029","https://openalex.org/W2032121576","https://openalex.org/W2039612688","https://openalex.org/W2057621739","https://openalex.org/W2089666804","https://openalex.org/W2091588795","https://openalex.org/W2126727010","https://openalex.org/W2136207315","https://openalex.org/W2137555357","https://openalex.org/W2142963076","https://openalex.org/W2158922575","https://openalex.org/W2204932229","https://openalex.org/W2585991846","https://openalex.org/W2791341367","https://openalex.org/W2796442286","https://openalex.org/W2964631455","https://openalex.org/W2969261759","https://openalex.org/W3008263964","https://openalex.org/W3045742556","https://openalex.org/W6636962537"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W1545767927"],"abstract_inverted_index":{"We":[0,65],"propose":[1,34],"a":[2,35,75],"fractal":[3,36,51],"dimension":[4],"estimator":[5,10],"for":[6,38,70],"multispectral":[7,39,50],"images.":[8,26],"The":[9,47],"is":[11],"based":[12,41],"on":[13,42],"the":[14,21,31,43,62,67,71,82],"probabilistic":[15],"box-counting":[16],"classical":[17],"approach":[18,69],"extended":[19],"to":[20,29],"multivariate":[22],"domain":[23],"of":[24,74],"multiband":[25],"In":[27],"order":[28],"validate":[30],"estimator,":[32],"we":[33],"model":[37],"images":[40,52],"fractional":[44],"Brownian":[45],"motion.":[46],"generated":[48],"synthetic":[49],"have":[53],"7":[54],"statistically-independent":[55],"spectral":[56],"bands":[57],"at":[58],"specific":[59],"wavelengths":[60],"in":[61],"visible":[63],"domain.":[64],"apply":[66],"proposed":[68],"complexity":[72],"characterization":[73],"widely-known":[76],"remotely-sensed":[77],"data":[78],"set":[79],"and":[80],"conclude":[81],"article.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}