{"id":"https://openalex.org/W2921581423","doi":"https://doi.org/10.1186/s13638-019-1346-z","title":"Hyperspectral image classification with SVM and guided filter","display_name":"Hyperspectral image classification with SVM and guided filter","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2921581423","doi":"https://doi.org/10.1186/s13638-019-1346-z","mag":"2921581423"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-019-1346-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1346-z","pdf_url":null,"source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13638-019-1346-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028142707","display_name":"Yanhui Guo","orcid":"https://orcid.org/0000-0002-5444-3822"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Guo","raw_affiliation_strings":["Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","Shandong Women's University, Ji'nan, 250300, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"Shandong Women's University, Ji'nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068516081","display_name":"Xijie Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijie Yin","raw_affiliation_strings":["Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","Shandong Women's University, Ji'nan, 250300, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"Shandong Women's University, Ji'nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112901917","display_name":"Xuechen Zhao","orcid":"https://orcid.org/0009-0003-5002-8319"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechen Zhao","raw_affiliation_strings":["Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","Shandong Women's University, Ji'nan, 250300, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong Women\u2019s University, Ji\u2019nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]},{"raw_affiliation_string":"Shandong Women's University, Ji'nan, 250300, Shandong, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102445914","display_name":"Dongxin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongxin Yang","raw_affiliation_strings":["Dazhong News Group, Administrative Management Service, Ji\u2019Nan, 250014, China","Dazhong News Group, Administrative Management Service, Ji'Nan, 250014, China"],"affiliations":[{"raw_affiliation_string":"Dazhong News Group, Administrative Management Service, Ji\u2019Nan, 250014, China","institution_ids":[]},{"raw_affiliation_string":"Dazhong News Group, Administrative Management Service, Ji'Nan, 250014, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018409371","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0002-2303-1120"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Bai","raw_affiliation_strings":["California State University, Fullerton, CA, 90831, USA"],"affiliations":[{"raw_affiliation_string":"California State University, Fullerton, CA, 90831, USA","institution_ids":["https://openalex.org/I142934699"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018409371"],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":7.6149,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.97461814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9973999857902527,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8622059226036072},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8211383819580078},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7769654989242554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7585771083831787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6623625755310059},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6364865899085999},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45289933681488037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44277438521385193},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4370119571685791},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43383553624153137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3376350998878479},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.21531224250793457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622059226036072},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8211383819580078},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7769654989242554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7585771083831787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6623625755310059},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6364865899085999},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45289933681488037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44277438521385193},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4370119571685791},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43383553624153137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3376350998878479},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.21531224250793457},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-019-1346-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1346-z","pdf_url":null,"source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d6f2006c0911469aba2e30b07761051f","is_oa":true,"landing_page_url":"https://doaj.org/article/d6f2006c0911469aba2e30b07761051f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-9 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-019-1346-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-019-1346-z","pdf_url":null,"source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1977066218","https://openalex.org/W1990914742","https://openalex.org/W1997478538","https://openalex.org/W1997565609","https://openalex.org/W1998030734","https://openalex.org/W2050497921","https://openalex.org/W2059089906","https://openalex.org/W2097915756","https://openalex.org/W2098057602","https://openalex.org/W2099129687","https://openalex.org/W2104269704","https://openalex.org/W2119821739","https://openalex.org/W2125188192","https://openalex.org/W2127199143","https://openalex.org/W2129652905","https://openalex.org/W2131864940","https://openalex.org/W2136236240","https://openalex.org/W2136251662","https://openalex.org/W2140996489","https://openalex.org/W2153635508","https://openalex.org/W2164330327","https://openalex.org/W2166307050","https://openalex.org/W2166923144","https://openalex.org/W2472919595","https://openalex.org/W2794633256"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3,70],"has":[4,29],"been":[5,16,30],"long":[6],"envisioned":[7],"in":[8,45],"the":[9,23,39,69,84,91,109],"remote":[10],"sensing":[11],"community.":[12],"Many":[13],"methods":[14,59,98,106,116],"have":[15],"proposed":[17,50,97],"for":[18,60],"HSI":[19,47],"classification.":[20],"Among":[21],"them,":[22],"method":[24],"of":[25,41],"fusing":[26],"spatial":[27,42,63],"features":[28],"widely":[31],"used":[32],"and":[33,62,119],"achieved":[34],"good":[35],"performance.":[36],"Aiming":[37],"at":[38],"problem":[40],"feature":[43],"extraction":[44],"spectral-spatial":[46],"classification,":[48],"we":[49,72],"a":[51,75],"guided":[52,76],"filter-based":[53],"method.":[54],"We":[55,82],"attempted":[56],"two":[57],"fusion":[58],"spectral":[61],"features.":[64],"In":[65],"order":[66],"to":[67,78,89,121],"optimize":[68],"results,":[71],"also":[73],"adopted":[74],"filter":[77],"obtain":[79,100],"better":[80],"results.":[81],"apply":[83],"support":[85],"vector":[86],"machine":[87],"(SVM)":[88],"classify":[90],"HSI.":[92],"Experiments":[93],"show":[94],"that":[95],"our":[96,115],"can":[99],"very":[101],"competitive":[102],"results":[103],"than":[104],"compared":[105],"on":[107],"all":[108],"three":[110],"popular":[111],"datasets.":[112],"More":[113],"importantly,":[114],"are":[117],"fast":[118],"easy":[120],"implement.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}