{"id":"https://openalex.org/W3038606102","doi":"https://doi.org/10.3390/rs12132154","title":"Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification","display_name":"Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification","publication_year":2020,"publication_date":"2020-07-06","ids":{"openalex":"https://openalex.org/W3038606102","doi":"https://doi.org/10.3390/rs12132154","mag":"3038606102"},"language":"en","primary_location":{"id":"doi:10.3390/rs12132154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132154","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2154/pdf?version=1602235919","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/13/2154/pdf?version=1602235919","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100628775","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0002-0797-4655"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]},{"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":"Ke Wang","raw_affiliation_strings":["Department of Geographical Information Science, Hohai University, Nanjing 210098, China","State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079671502","display_name":"Ligang Cheng","orcid":null},"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":"Ligang Cheng","raw_affiliation_strings":["Department of Geographical Information Science, Hohai University, Nanjing 210098, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073794558","display_name":"Bin Yong","orcid":"https://orcid.org/0000-0003-1466-2091"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]},{"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":"Bin Yong","raw_affiliation_strings":["State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079671502"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.1072,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96544715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"13","first_page":"2154","last_page":"2154"},"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":0.9936000108718872,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9549999833106995,"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/kernel","display_name":"Kernel (algebra)","score":0.7969802618026733},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.7234897613525391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.696319580078125},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6740161180496216},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.6298737525939941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787385702133179},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5694105625152588},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5486893057823181},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.49380168318748474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4760006368160248},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.4735131561756134},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4370729923248291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4356161653995514},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.4141954779624939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16346266865730286},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15108662843704224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11692214012145996}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7969802618026733},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.7234897613525391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.696319580078125},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6740161180496216},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6298737525939941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787385702133179},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5694105625152588},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5486893057823181},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.49380168318748474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4760006368160248},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.4735131561756134},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4370729923248291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4356161653995514},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.4141954779624939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16346266865730286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15108662843704224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11692214012145996},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":3,"locations":[{"id":"doi:10.3390/rs12132154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132154","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2154/pdf?version=1602235919","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a56f20f7e84e4873a50a7abe7c3aaf38","is_oa":true,"landing_page_url":"https://doaj.org/article/a56f20f7e84e4873a50a7abe7c3aaf38","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":"Remote Sensing, Vol 12, Iss 13, p 2154 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/13/2154/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12132154","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":"Remote Sensing; Volume 12; Issue 13; Pages: 2154","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12132154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12132154","pdf_url":"https://www.mdpi.com/2072-4292/12/13/2154/pdf?version=1602235919","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1299567165","display_name":null,"funder_award_id":"BK20140842","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2030376154","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3851455029","display_name":null,"funder_award_id":"2014B03","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5853202200","display_name":null,"funder_award_id":"2014B","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6156233423","display_name":null,"funder_award_id":"2014084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6535112715","display_name":null,"funder_award_id":"2014B03514","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7471646746","display_name":null,"funder_award_id":"41771358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G770456615","display_name":null,"funder_award_id":"Funds","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8029907974","display_name":null,"funder_award_id":"201408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038606102.pdf","grobid_xml":"https://content.openalex.org/works/W3038606102.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W23802834","https://openalex.org/W1549656520","https://openalex.org/W1943383135","https://openalex.org/W1966196285","https://openalex.org/W1988790447","https://openalex.org/W1995292093","https://openalex.org/W1998030734","https://openalex.org/W1999133685","https://openalex.org/W1999486090","https://openalex.org/W2001298023","https://openalex.org/W2009539575","https://openalex.org/W2010319424","https://openalex.org/W2033515137","https://openalex.org/W2040812261","https://openalex.org/W2043665634","https://openalex.org/W2051383118","https://openalex.org/W2055435695","https://openalex.org/W2069231830","https://openalex.org/W2078296814","https://openalex.org/W2094304765","https://openalex.org/W2098057602","https://openalex.org/W2101711129","https://openalex.org/W2104128541","https://openalex.org/W2104269704","https://openalex.org/W2107425660","https://openalex.org/W2118796925","https://openalex.org/W2131479089","https://openalex.org/W2132648706","https://openalex.org/W2139212933","https://openalex.org/W2140340527","https://openalex.org/W2144188273","https://openalex.org/W2151056738","https://openalex.org/W2156316030","https://openalex.org/W2156909104","https://openalex.org/W2163886442","https://openalex.org/W2166473218","https://openalex.org/W2171607657","https://openalex.org/W2212636544","https://openalex.org/W2344173806","https://openalex.org/W2345118402","https://openalex.org/W2345617734","https://openalex.org/W2421538643","https://openalex.org/W2508217043","https://openalex.org/W2517660364","https://openalex.org/W2572810799","https://openalex.org/W2581546270","https://openalex.org/W2743255627","https://openalex.org/W2770495564","https://openalex.org/W2770681586","https://openalex.org/W2890881735","https://openalex.org/W2890974418","https://openalex.org/W2914885528","https://openalex.org/W2942061847","https://openalex.org/W2963878656","https://openalex.org/W2967862655","https://openalex.org/W4214564766","https://openalex.org/W4285719527","https://openalex.org/W4320339642","https://openalex.org/W6600958843","https://openalex.org/W6670225468","https://openalex.org/W6675374405","https://openalex.org/W6676236601","https://openalex.org/W6683656872","https://openalex.org/W6684116732","https://openalex.org/W6746128011"],"related_works":["https://openalex.org/W1603091392","https://openalex.org/W3123056048","https://openalex.org/W4311138679","https://openalex.org/W1984421104","https://openalex.org/W2393746448","https://openalex.org/W127070535","https://openalex.org/W2366185040","https://openalex.org/W1519806901","https://openalex.org/W2071590642","https://openalex.org/W2095626363"],"abstract_inverted_index":{"Spectral":[0],"similarity":[1,204],"measures":[2],"can":[3,13,118,197],"be":[4,14,79,255],"regarded":[5],"as":[6],"potential":[7],"metrics":[8],"for":[9],"kernel":[10,145,163,186,196,223,251],"functions,":[11],"and":[12,45,64,91,115,154,171],"used":[15,232],"to":[16,78,100,188,229,254],"generate":[17],"spectral-similarity-based":[18,21,37,76,107,250],"kernels.":[19,71,81,93,108],"However,":[20],"kernels":[22,38,77,117,190,233,246],"have":[23],"not":[24],"received":[25],"significant":[26],"attention":[27],"from":[28],"researchers.":[29],"In":[30,242],"this":[31],"paper,":[32],"we":[33,73,83,95],"propose":[34],"two":[35],"novel":[36],"based":[39],"on":[40,164],"spectral":[41,46,59,66,206],"angle":[42,60],"mapper":[43,61],"(SAM)":[44],"information":[47,67],"divergence":[48],"(SID)":[49],"combined":[50],"with":[51,248],"the":[52,102,105,113,124,130,133,140,161,165,181,184,194,203,209,221,235,238,249],"radial":[53],"basis":[54],"function":[55],"(RBF)":[56],"kernel:":[57],"Power":[58],"RBF":[62,69,162],"(Power-SAM-RBF)":[63],"normalized":[65],"divergence-based":[68],"(Normalized-SID-RBF)":[70],"First,":[72,180],"prove":[74],"these":[75],"Mercer\u2019s":[80],"Second,":[82,193],"analyze":[84,101],"their":[85],"efficiency":[86],"in":[87,208],"terms":[88],"of":[89,104,132,143,160,169,183,237],"local":[90],"global":[92],"Finally,":[94],"consider":[96],"three":[97,178],"hyperspectral":[98,211,258],"datasets":[99],"effectiveness":[103],"proposed":[106],"Experimental":[109],"results":[110],"demonstrate":[111],"that":[112,159],"Power-SAM-RBF":[114,125,144,185,195,222],"SAM-RBF":[116],"obtain":[119],"an":[120,199],"impressive":[121],"performance,":[122],"particularly":[123],"kernel.":[126],"For":[127],"example,":[128],"when":[129,202,234],"ratio":[131],"training":[134,239],"set":[135],"is":[136,147,191,213],"20":[137],"%":[138,149,152,156],",":[139,150,153],"kappa":[141],"coefficient":[142],"(0.8561)":[146],"1.61":[148],"1.32":[151],"1.23":[155],"higher":[157],"than":[158],"Indian":[166],"Pines,":[167],"University":[168],"Pavia,":[170],"Salinas":[172],"Valley":[173],"datasets,":[174],"respectively.":[175],"We":[176],"present":[177],"conclusions.":[179],"superiority":[182],"compared":[187,228],"other":[189,230],"evident.":[192],"provide":[198,256],"outstanding":[200],"performance":[201],"between":[205],"signatures":[207],"same":[210],"dataset":[212],"either":[214],"extremely":[215,218],"high":[216],"or":[217],"low.":[219],"Third,":[220],"provides":[224],"even":[225],"greater":[226],"benefits":[227],"commonly":[231],"sizes":[236],"sets":[240],"increase.":[241],"future":[243],"work,":[244],"multiple":[245],"combining":[247],"are":[252],"expected":[253],"better":[257],"classification.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}