{"id":"https://openalex.org/W2903919774","doi":"https://doi.org/10.1109/lgrs.2018.2881704","title":"Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction","display_name":"Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2903919774","doi":"https://doi.org/10.1109/lgrs.2018.2881704","mag":"2903919774"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2881704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2881704","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5101593173","display_name":"Zhikun Chen","orcid":"https://orcid.org/0000-0002-8410-6798"},"institutions":[{"id":"https://openalex.org/I4210105374","display_name":"Beibu Gulf University","ror":"https://ror.org/01dq3qq95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105374"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhikun Chen","raw_affiliation_strings":["College of Resources and Environment, Qinzhou University, Qinzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Qinzhou University, Qinzhou, China","institution_ids":["https://openalex.org/I4210105374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045878759","display_name":"Chong Zhou","orcid":"https://orcid.org/0000-0002-9971-4550"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Zhou","raw_affiliation_strings":["School of Information Engineering, Hebei GEO University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hebei GEO University, Shijiazhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078539725","display_name":"Xinwei Jiang","orcid":"https://orcid.org/0000-0001-6783-2176"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Jiang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027271658","display_name":"Shaoyuan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105374","display_name":"Beibu Gulf University","ror":"https://ror.org/01dq3qq95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105374"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyuan Fu","raw_affiliation_strings":["College of Resources and Environment, Qinzhou University, Qinzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Qinzhou University, Qinzhou, China","institution_ids":["https://openalex.org/I4210105374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I4210105374","display_name":"Beibu Gulf University","ror":"https://ror.org/01dq3qq95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105374"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Zhihua","raw_affiliation_strings":["College of Resources and Environment, Qinzhou University, Qinzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Qinzhou University, Qinzhou, China","institution_ids":["https://openalex.org/I4210105374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101593173"],"corresponding_institution_ids":["https://openalex.org/I4210105374"],"apc_list":null,"apc_paid":null,"fwci":1.669,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87619918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"5","first_page":"781","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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":0.9962999820709229,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8553991317749023},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.717479944229126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6541565656661987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902984142303467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.577095091342926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5403542518615723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4744116961956024},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4603531062602997},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4518534243106842},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4186384379863739},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40132275223731995},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07091584801673889}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8553991317749023},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.717479944229126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541565656661987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902984142303467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.577095091342926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5403542518615723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4744116961956024},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4603531062602997},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4518534243106842},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4186384379863739},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40132275223731995},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07091584801673889},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2881704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2881704","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1887696266","display_name":null,"funder_award_id":"61402424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G301648404","display_name":null,"funder_award_id":"61773355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3500309933","display_name":null,"funder_award_id":"61501413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1972524915","https://openalex.org/W2049003564","https://openalex.org/W2097915756","https://openalex.org/W2099244020","https://openalex.org/W2140991832","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2153635508","https://openalex.org/W2166923144","https://openalex.org/W2417947228","https://openalex.org/W2518759513","https://openalex.org/W2577727229","https://openalex.org/W2583142700","https://openalex.org/W2587790406","https://openalex.org/W2591248827","https://openalex.org/W2592962403","https://openalex.org/W2608092940","https://openalex.org/W2620858446","https://openalex.org/W2749577643","https://openalex.org/W2763731268","https://openalex.org/W2784118841","https://openalex.org/W2808776742","https://openalex.org/W2809374289","https://openalex.org/W2809795042","https://openalex.org/W3100499011","https://openalex.org/W3103856189"],"related_works":["https://openalex.org/W2018257962","https://openalex.org/W3211035526","https://openalex.org/W4293272463","https://openalex.org/W2972973180","https://openalex.org/W2775464024","https://openalex.org/W2904596878","https://openalex.org/W2909041182","https://openalex.org/W2810489482","https://openalex.org/W2534909612","https://openalex.org/W2382607599"],"abstract_inverted_index":{"Traditional":[0],"bilateral":[1],"filtering":[2,28,37],"(BF)":[3],"cannot":[4],"extract":[5],"hyperspectral":[6],"image":[7],"(HSI)":[8],"features":[9],"well":[10],"when":[11],"the":[12,16,25,29,45,50,58,67,70,80,87],"center":[13],"pixel":[14,18],"of":[15,27,61,69],"neighborhood":[17],"set":[19],"is":[20,39,54,92],"a":[21,34],"noise":[22],"point":[23],"in":[24,49],"process":[26],"HSI.":[30],"In":[31],"this":[32],"letter,":[33],"trilateral":[35],"smooth":[36],"(TRSF)":[38],"presented.":[40],"The":[41],"proposed":[42,71,88],"algorithm":[43],"avoids":[44],"above-mentioned":[46],"limitation":[47],"problem":[48],"BF":[51],"algorithm.":[52],"TRSF":[53],"successfully":[55],"applied":[56],"to":[57,78],"feature":[59,89],"extraction":[60,90],"three":[62],"actual":[63],"HSIs.":[64],"To":[65],"prove":[66],"effectiveness":[68],"algorithm,":[72],"support":[73],"vector":[74],"machines":[75],"are":[76],"used":[77],"classify":[79],"extracted":[81],"features.":[82],"Experimental":[83],"results":[84],"show":[85],"that":[86],"method":[91],"simple":[93],"and":[94],"effective.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}