{"id":"https://openalex.org/W2955330108","doi":"https://doi.org/10.1109/whispers.2018.8747073","title":"Composite Kernel Classification using Spectral-Spatial Features and Abundance Information of Hyperspectral Image","display_name":"Composite Kernel Classification using Spectral-Spatial Features and Abundance Information of Hyperspectral Image","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2955330108","doi":"https://doi.org/10.1109/whispers.2018.8747073","mag":"2955330108"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2018.8747073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5061841145","display_name":"Yanli Sun","orcid":"https://orcid.org/0000-0003-3144-5558"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli SUN","raw_affiliation_strings":["China Academy of Electronics and Information Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Electronics and Information Technology","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101588866","display_name":"Xia Zhang","orcid":"https://orcid.org/0000-0002-4313-600X"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia ZHANG","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2092,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63798203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9936000108718872,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9860000014305115,"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":0.9578433036804199},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7753053903579712},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.6217164993286133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613405704498291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5971165299415588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5893198847770691},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5581973791122437},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5576502680778503},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5114763975143433},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4699048399925232},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.417946457862854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2442871332168579},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.2379942238330841},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1806240975856781},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07034522294998169}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9578433036804199},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7753053903579712},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.6217164993286133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613405704498291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5971165299415588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5893198847770691},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5581973791122437},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5576502680778503},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5114763975143433},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4699048399925232},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.417946457862854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2442871332168579},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.2379942238330841},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1806240975856781},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07034522294998169},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2018.8747073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522547150","https://openalex.org/W1998030734","https://openalex.org/W2001298023","https://openalex.org/W2005672614","https://openalex.org/W2063790512","https://openalex.org/W2083541351","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2108917905","https://openalex.org/W2117633874","https://openalex.org/W2127199143","https://openalex.org/W2131697388","https://openalex.org/W2150579376","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2329928123","https://openalex.org/W2603834682","https://openalex.org/W2757242159","https://openalex.org/W2767805377"],"related_works":["https://openalex.org/W2039721451","https://openalex.org/W2335381435","https://openalex.org/W2120787608","https://openalex.org/W2054836752","https://openalex.org/W2171464537","https://openalex.org/W2138540356","https://openalex.org/W2119473622","https://openalex.org/W2799746630","https://openalex.org/W2561005839","https://openalex.org/W1529476013"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"composite":[4],"kernel":[5],"classification":[6],"approach":[7,63],"by":[8,72],"exploiting":[9],"both":[10],"the":[11,27,32,53,61,73,85],"spectral-spatial":[12],"information":[13,16,34],"and":[14,31,45],"abundance":[15,54],"of":[17,60],"hyperspectral":[18,68],"image.":[19],"The":[20,41,56],"classifier":[21],"adopted":[22],"in":[23],"this":[24],"work":[25],"is":[26,35,64],"multinomial":[28],"logistic":[29],"regression,":[30],"spatial":[33],"modeled":[36],"from":[37],"extended":[38],"multi-attribute":[39],"profiles(EMAPs).":[40],"class-based":[42],"endmember":[43],"extraction":[44],"sparse":[46],"unmixing":[47],"method":[48],"was":[49],"used":[50],"to":[51],"obtain":[52],"information.":[55],"state-of-the":[57],"art":[58],"performance":[59],"proposed":[62],"illustrated":[65],"with":[66],"real":[67],"data":[69],"sets":[70],"collected":[71],"NASA":[74],"Jet":[75],"Propulsion":[76],"Laboratory's":[77],"Airborne":[78],"Visible":[79],"Infrared":[80],"Imaging":[81],"Spectrometer":[82],"(AVIRIS)":[83],"over":[84],"Indian":[86],"Pines":[87],"region,":[88],"Indiana.":[89]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}