{"id":"https://openalex.org/W2809374289","doi":"https://doi.org/10.3390/s18061978","title":"Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter","display_name":"Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter","publication_year":2018,"publication_date":"2018-06-20","ids":{"openalex":"https://openalex.org/W2809374289","doi":"https://doi.org/10.3390/s18061978","mag":"2809374289","pmid":"https://pubmed.ncbi.nlm.nih.gov/29925817"},"language":"en","primary_location":{"id":"doi:10.3390/s18061978","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061978","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1978/pdf?version=1529496673","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/6/1978/pdf?version=1529496673","any_repository_has_fulltext":true},"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/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"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"]},{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhikun Chen","raw_affiliation_strings":["Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China","Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou 535000, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China","Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou 535000, China. chzhikun@163.com","Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China. chzhikun@163.com","School of Computer Science, China University of Geosciences, Wuhan 430074, China. chzhikun@163.com"],"affiliations":[{"raw_affiliation_string":"Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China","institution_ids":["https://openalex.org/I4210105374"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou 535000, China","institution_ids":["https://openalex.org/I4210128032"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou 535000, China. chzhikun@163.com","institution_ids":["https://openalex.org/I4210128032"]},{"raw_affiliation_string":"Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China. chzhikun@163.com","institution_ids":["https://openalex.org/I4210128032","https://openalex.org/I4210105374"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China. chzhikun@163.com","institution_ids":["https://openalex.org/I3124059619"]}]},{"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/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":"Junjun Jiang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan 430074, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China. junjun0595@163.com"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China. junjun0595@163.com","institution_ids":["https://openalex.org/I3124059619"]}]},{"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 430074, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China. ysjxw@hotmail.com"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China. ysjxw@hotmail.com","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003973123","display_name":"Xiaoping Fang","orcid":"https://orcid.org/0000-0002-2803-884X"},"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":"Xiaoping Fang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan 430074, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China. fangxiao_ping@126.com"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China. fangxiao_ping@126.com","institution_ids":["https://openalex.org/I3124059619"]}]},{"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/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"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"]},{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China","School of Computer Science, China University of Geosciences, Wuhan 430074, China. zhcai@cug.edu.cn","Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China. zhcai@cug.edu.cn"],"affiliations":[{"raw_affiliation_string":"Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China","institution_ids":["https://openalex.org/I4210105374"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China. zhcai@cug.edu.cn","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Beibu Gulf Big Data Resources Utilisation Lab, Qinzhou University, Qinzhou 535000, China. zhcai@cug.edu.cn","institution_ids":["https://openalex.org/I4210128032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101593173"],"corresponding_institution_ids":["https://openalex.org/I3124059619","https://openalex.org/I4210105374","https://openalex.org/I4210128032"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.5032,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90942319,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"6","first_page":"1978","last_page":"1978"},"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":0.9988999962806702,"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":0.9955000281333923,"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":0.8334877490997314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7986171245574951},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7811671495437622},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7295564413070679},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7247726917266846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6423503160476685},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6143178343772888},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6086608171463013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5813311338424683},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5609233379364014},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5467272996902466},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5297442674636841},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4937072694301605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38768988847732544}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8334877490997314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7986171245574951},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7811671495437622},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7295564413070679},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7247726917266846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6423503160476685},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6143178343772888},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6086608171463013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5813311338424683},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5609233379364014},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5467272996902466},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5297442674636841},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4937072694301605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38768988847732544},{"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":5,"locations":[{"id":"doi:10.3390/s18061978","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061978","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1978/pdf?version=1529496673","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29925817","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29925817","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:afc5039b56b54c1fae4c64b7a5f11392","is_oa":true,"landing_page_url":"https://doaj.org/article/afc5039b56b54c1fae4c64b7a5f11392","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":"Sensors, Vol 18, Iss 6, p 1978 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4978307","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6021978","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/6/1978/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18061978","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18061978","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061978","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1978/pdf?version=1529496673","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7821690069","display_name":null,"funder_award_id":"61403351 and 61402424","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2809374289.pdf","grobid_xml":"https://content.openalex.org/works/W2809374289.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1961126707","https://openalex.org/W1972524915","https://openalex.org/W2001298023","https://openalex.org/W2016860790","https://openalex.org/W2029316659","https://openalex.org/W2041232585","https://openalex.org/W2044439250","https://openalex.org/W2049003564","https://openalex.org/W2080322700","https://openalex.org/W2090424610","https://openalex.org/W2098062695","https://openalex.org/W2144151128","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2153635508","https://openalex.org/W2154506590","https://openalex.org/W2166923144","https://openalex.org/W2167685974","https://openalex.org/W2266694576","https://openalex.org/W2295364147","https://openalex.org/W2417947228","https://openalex.org/W2527650001","https://openalex.org/W2577727229","https://openalex.org/W2587790406","https://openalex.org/W2589232018","https://openalex.org/W2597363692","https://openalex.org/W2608092940","https://openalex.org/W2614166664","https://openalex.org/W2735299109","https://openalex.org/W2745791577","https://openalex.org/W2749577643","https://openalex.org/W2789266805","https://openalex.org/W2789806937","https://openalex.org/W2790739169","https://openalex.org/W2791603829","https://openalex.org/W2793970677","https://openalex.org/W2795963993","https://openalex.org/W2800324071","https://openalex.org/W2808776742","https://openalex.org/W2809795042","https://openalex.org/W2890022946","https://openalex.org/W3100499011","https://openalex.org/W3120421331","https://openalex.org/W6754497710"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W2132083814","https://openalex.org/W1967233468"],"abstract_inverted_index":{"Recently,":[0],"image-filtering":[1],"based":[2,47],"hyperspectral":[3],"image":[4],"(HSI)":[5],"feature":[6,19,49],"extraction":[7,50],"has":[8],"been":[9],"widely":[10],"studied.":[11],"However,":[12],"due":[13],"to":[14,75,111],"limited":[15],"spatial":[16],"resolution":[17],"and":[18,29,120,165],"distribution":[20],"complexity,":[21],"the":[22,56,77,81,85,90,97,99,103,107,113,124,127,148,155,160,168],"problems":[23],"of":[24,61,84,106,115,126,163,170],"cross-region":[25,93,108,116],"mixing":[26],"after":[27],"filtering":[28],"spectral":[30],"discriminative":[31],"reduction":[32],"still":[33],"remain.":[34],"To":[35,122],"address":[36,55],"these":[37],"issues,":[38],"this":[39],"paper":[40],"proposes":[41],"a":[42],"spectral-spatial":[43,161],"propagation":[44],"filter":[45,100],"(PF)":[46],"HSI":[48,63,78,86,171],"method":[51,157],"that":[52,154],"can":[53],"effectively":[54,158],"above":[57],"problems.":[58],"The":[59,150],"dimensionality/band":[60],"an":[62],"is":[64,72],"typically":[65],"high;":[66],"therefore,":[67],"principal":[68,82],"component":[69],"analysis":[70],"(PCA)":[71],"first":[73],"used":[74],"reduce":[76],"dimensionality.":[79],"Then,":[80],"components":[83],"are":[87,131],"filtered":[88],"with":[89,144],"PF.":[91,149],"When":[92],"mixture":[94],"occurs":[95],"in":[96],"image,":[98],"template":[101],"reduces":[102],"weight":[104],"assignments":[105],"mixed":[109,117],"pixels":[110,118],"handle":[112],"issue":[114],"simply":[119],"effectively.":[121],"validate":[123],"effectiveness":[125],"proposed":[128,156],"method,":[129],"experiments":[130],"carried":[132],"out":[133],"on":[134],"three":[135],"common":[136],"HSIs":[137,164],"using":[138],"support":[139],"vector":[140],"machine":[141],"(SVM)":[142],"classifiers":[143],"features":[145,162],"learned":[146],"by":[147],"experimental":[151],"results":[152],"demonstrate":[153],"extracts":[159],"significantly":[166],"improves":[167],"accuracy":[169],"classification.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}