{"id":"https://openalex.org/W2166416680","doi":"https://doi.org/10.1109/sibgra.2002.1167129","title":"Texture feature neural classifier for remote sensing image retrieval systems","display_name":"Texture feature neural classifier for remote sensing image retrieval systems","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2166416680","doi":"https://doi.org/10.1109/sibgra.2002.1167129","mag":"2166416680"},"language":"en","primary_location":{"id":"doi:10.1109/sibgra.2002.1167129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2002.1167129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","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/A5002600614","display_name":"Maur\u00edcio Pozzobon Martins","orcid":null},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"National Institute for Space Research","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M.P. Martins","raw_affiliation_strings":["Laborat\u00f3rio Associado de Computa\u00e7\u00e3o e Matem\u00e1tica Aplicada, INPE-Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Laborat\u00f3rio Associado de Computa\u00e7\u00e3o e Matem\u00e1tica Aplicada, INPE-Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055345551","display_name":"Lamartine Nogueira Frutuoso Guimar\u00e3es","orcid":"https://orcid.org/0000-0002-0302-9162"},"institutions":[{"id":"https://openalex.org/I4403928426","display_name":"Instituto de Estudos Avan\u00e7ados da Universidade de S\u00e3o Paulo","ror":"https://ror.org/04t6wsp57","country_code":null,"type":"education","lineage":["https://openalex.org/I17974374","https://openalex.org/I4403928426"]},{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L.N. Frutuoso Guimaraes","raw_affiliation_strings":["CTA-Centro T\u00e9cnico Aeroespacial, IEAv-Instituto de Estudos Avan\u00e7ados, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"CTA-Centro T\u00e9cnico Aeroespacial, IEAv-Instituto de Estudos Avan\u00e7ados, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4403928426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044755729","display_name":"Leila Mar\u00eda Garc\u00eda Fonseca","orcid":"https://orcid.org/0000-0001-6057-7387"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"National Institute for Space Research","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. Maria Garcia Fonseca","raw_affiliation_strings":["Divis\u00e3o de Processamento de Imagens, INPE-Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Divis\u00e3o de Processamento de Imagens, INPE-Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002600614"],"corresponding_institution_ids":["https://openalex.org/I80849659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.225531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9878000020980835,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9837999939918518,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.790981113910675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499979138374329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7033817172050476},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6109572649002075},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5864132046699524},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5649063587188721},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5308682918548584},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5260835886001587},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5177509188652039},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49808812141418457},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4806322157382965},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42403534054756165},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4109363555908203},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29490816593170166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2630024552345276}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.790981113910675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499979138374329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7033817172050476},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6109572649002075},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5864132046699524},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5649063587188721},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5308682918548584},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5260835886001587},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5177509188652039},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49808812141418457},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4806322157382965},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42403534054756165},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4109363555908203},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29490816593170166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2630024552345276}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sibgra.2002.1167129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2002.1167129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.116.5336","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.5336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sibgrapi.sid.inpe.br/col/sid.inpe.br/banon/2002/10.24.10.41/doc/81.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1488640693","https://openalex.org/W1505148706","https://openalex.org/W1529267782","https://openalex.org/W1634005169","https://openalex.org/W1680183815","https://openalex.org/W1990517717","https://openalex.org/W2028178656","https://openalex.org/W2031586513","https://openalex.org/W2053154970","https://openalex.org/W2065024433","https://openalex.org/W2068520194","https://openalex.org/W2068874033","https://openalex.org/W2079023888","https://openalex.org/W2082453965","https://openalex.org/W2092363585","https://openalex.org/W2122762031","https://openalex.org/W2125148312","https://openalex.org/W2132062294","https://openalex.org/W2168487341","https://openalex.org/W4243620453","https://openalex.org/W6636654802","https://openalex.org/W6679794442","https://openalex.org/W6908377766"],"related_works":["https://openalex.org/W2166724105","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2003873690","https://openalex.org/W2165772202","https://openalex.org/W2115502907","https://openalex.org/W2035842265","https://openalex.org/W2359713774","https://openalex.org/W1561599630","https://openalex.org/W2131290532"],"abstract_inverted_index":{"Texture":[0],"information":[1],"is":[2,15,39],"useful":[3],"for":[4,22],"image":[5,60],"data":[6],"browsing":[7],"and":[8,49,116],"retrieval.":[9],"The":[10,36,86],"goal":[11],"of":[12,30,33,58,104,111],"this":[13],"paper":[14],"to":[16,70,79,91],"present":[17],"a":[18,40,50,55,71,74,102],"texture":[19,87],"classification":[20],"system":[21,42,63],"remote":[23],"sensing":[24],"images":[25,81,99,118],"aimed":[26],"at":[27],"the":[28,59,62,66,93,98,112],"administration":[29],"large":[31],"collections":[32],"those":[34],"images.":[35],"proposed":[37],"classifier":[38],"hybrid":[41],"composed":[43],"by":[44,101],"an":[45],"unsupervised":[46],"neural":[47],"network":[48],"supervised":[51],"one.":[52],"Starting":[53],"from":[54,97],"small":[56],"portion":[57],"(pattern)":[61],"should":[64],"recognize":[65],"most":[67],"similar":[68,84],"class":[69],"pattern":[72],"in":[73],"database":[75],"as":[76,78],"well":[77],"identify":[80],"that":[82],"contain":[83],"patterns.":[85],"feature":[88],"vectors":[89],"used":[90],"characterize":[92],"patterns":[94],"are":[95,119],"obtained":[96],"processed":[100],"bank":[103],"Gabor":[105],"filters.":[106],"Experimental":[107],"results":[108],"using":[109],"textures":[110],"Brodatz":[113],"album,":[114],"multi-spectral":[115],"radar":[117],"presented.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
