{"id":"https://openalex.org/W2163817528","doi":"https://doi.org/10.1109/igarss.2004.1369955","title":"Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities","display_name":"Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2163817528","doi":"https://doi.org/10.1109/igarss.2004.1369955","mag":"2163817528"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1369955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 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/A5063590605","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0003-0477-5957"},"institutions":[{"id":"https://openalex.org/I176692203","display_name":"Alabama Agricultural and Mechanical University","ror":"https://ror.org/05hz8m414","country_code":"US","type":"education","lineage":["https://openalex.org/I176692203"]},{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["HSCaRS, Alabama A and M University, Normal, AL, USA","School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"HSCaRS, Alabama A and M University, Normal, AL, USA","institution_ids":["https://openalex.org/I176692203"]},{"raw_affiliation_string":"School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009532773","display_name":"Dilek Karabudak","orcid":null},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Karabudak","raw_affiliation_strings":["School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007726059","display_name":"Minh Pham","orcid":"https://orcid.org/0000-0002-9776-3981"},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh Pham","raw_affiliation_strings":["School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111068375","display_name":"T. Coleman","orcid":null},"institutions":[{"id":"https://openalex.org/I176692203","display_name":"Alabama Agricultural and Mechanical University","ror":"https://ror.org/05hz8m414","country_code":"US","type":"education","lineage":["https://openalex.org/I176692203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Coleman","raw_affiliation_strings":["HSCaRS, Alabama A and M University, Normal, AL, USA"],"affiliations":[{"raw_affiliation_string":"HSCaRS, Alabama A and M University, Normal, AL, USA","institution_ids":["https://openalex.org/I176692203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063590605"],"corresponding_institution_ids":["https://openalex.org/I176692203","https://openalex.org/I206426949"],"apc_list":null,"apc_paid":null,"fwci":0.2733,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62859702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"3818","last_page":"3821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9710999727249146,"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":0.9508000016212463,"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":0.8156719207763672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7155625820159912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958487033843994},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6742668747901917},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6493855714797974},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5920369625091553},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5461023449897766},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.476031094789505},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4579748809337616},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.45752084255218506},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4263145923614502},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.41048601269721985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38689059019088745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38133320212364197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33284810185432434},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.25706416368484497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1965309977531433},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10523027181625366}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8156719207763672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7155625820159912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958487033843994},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6742668747901917},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6493855714797974},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5920369625091553},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5461023449897766},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.476031094789505},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4579748809337616},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.45752084255218506},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4263145923614502},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.41048601269721985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38689059019088745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38133320212364197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33284810185432434},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25706416368484497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1965309977531433},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10523027181625366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1369955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 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":11,"referenced_works":["https://openalex.org/W172999166","https://openalex.org/W1978238148","https://openalex.org/W2037942041","https://openalex.org/W2044465660","https://openalex.org/W2082821099","https://openalex.org/W2089083030","https://openalex.org/W2093087999","https://openalex.org/W2104673234","https://openalex.org/W2124571274","https://openalex.org/W4235187403","https://openalex.org/W6606984818"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W1591475660","https://openalex.org/W1987463363","https://openalex.org/W2004617984","https://openalex.org/W2147064750","https://openalex.org/W3217780232"],"abstract_inverted_index":{"We":[0],"compared":[1],"three":[2],"image":[3],"classifiers":[4,45],"which":[5],"incorporate":[6,22],"contextual":[7,23],"information":[8,24],"to":[9,47],"classify":[10,30],"each":[11],"pixel":[12,32],"in":[13,17,53,67,76],"the":[14,31,49,54,60],"raw":[15],"images":[16],"this":[18,77],"study.":[19],"These":[20,43],"procedures":[21],"by":[25],"using":[26],"different":[27],"features":[28],"and":[29],"into":[33],"one":[34],"of":[35,59],"several":[36],"predefined":[37],"classes":[38],"based":[39],"on":[40],"these":[41,68],"features.":[42],"spatial":[44,50,69],"strive":[46],"capture":[48],"relationships":[51],"encoded":[52],"aerial":[55],"photograph.":[56],"The":[57],"determination":[58],"window":[61],"size":[62],"is":[63],"a":[64],"challenging":[65],"issue":[66],"classifiers.":[70],"Preliminary":[71],"experimental":[72],"results":[73],"are":[74],"provided":[75],"report.":[78]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}