{"id":"https://openalex.org/W2783036871","doi":"https://doi.org/10.1109/icsai.2017.8248472","title":"Hyperspectral image classification based on gray level co-occurrence matrix and local mean decomposition","display_name":"Hyperspectral image classification based on gray level co-occurrence matrix and local mean decomposition","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783036871","doi":"https://doi.org/10.1109/icsai.2017.8248472","mag":"2783036871"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5052763174","display_name":"Changli Li","orcid":"https://orcid.org/0000-0003-1577-0748"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changli Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015811721","display_name":"Hang Zuo","orcid":"https://orcid.org/0000-0001-7843-1511"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zuo","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102859681","display_name":"Tanghuai Fan","orcid":"https://orcid.org/0000-0003-4324-2854"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tanghuai Fan","raw_affiliation_strings":["School of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052763174"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13261954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","issue":null,"first_page":"1219","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.9638000130653381,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9413754940032959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7110999226570129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6870694756507874},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.6599866151809692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497949719429016},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5449347496032715},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5286227464675903},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.4759135842323303},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4646216332912445},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4628903269767761},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4391999840736389},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.42129674553871155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4175034165382385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38564690947532654},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.31327593326568604},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2971043586730957},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1787896454334259},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.06133627891540527}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9413754940032959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7110999226570129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870694756507874},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.6599866151809692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497949719429016},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5449347496032715},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5286227464675903},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.4759135842323303},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4646216332912445},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4628903269767761},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4391999840736389},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.42129674553871155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4175034165382385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38564690947532654},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31327593326568604},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2971043586730957},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1787896454334259},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.06133627891540527},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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":6,"referenced_works":["https://openalex.org/W841461151","https://openalex.org/W1967847028","https://openalex.org/W2008775610","https://openalex.org/W2044465660","https://openalex.org/W2140554090","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W1505833044","https://openalex.org/W2617798614","https://openalex.org/W2390142724","https://openalex.org/W2354234745","https://openalex.org/W2282697883","https://openalex.org/W1996792633","https://openalex.org/W2367286358","https://openalex.org/W2380994097","https://openalex.org/W2001109438","https://openalex.org/W1966354130"],"abstract_inverted_index":{"Traditional":[0],"hyperspectral":[1,29,68],"image":[2,30,75],"classification":[3,76],"methods":[4],"always":[5],"focused":[6],"on":[7,35,48],"spectral":[8,45],"information,":[9],"and":[10,32,43,52],"lots":[11],"of":[12,28,59],"spatial":[13,22],"information":[14,24,42],"was":[15],"neglected.":[16],"Therefore,":[17],"this":[18],"paper":[19],"introduces":[20],"the":[21,26,40,44,57,67,74],"texture":[23,41],"in":[25,70],"process":[27],"classification,":[31],"it":[33],"focuses":[34],"how":[36],"to":[37,65,72],"deeply":[38],"combine":[39],"information.":[46],"Based":[47],"local":[49],"mean":[50],"decomposition":[51],"gray":[53],"level":[54],"co-occurrence":[55],"matrix,":[56],"method":[58],"support":[60],"vector":[61],"machine":[62],"is":[63],"used":[64],"classify":[66],"image,":[69],"order":[71],"improve":[73],"accuracy.":[77]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
