{"id":"https://openalex.org/W2766647684","doi":"https://doi.org/10.1109/whispers.2013.8080622","title":"A novel classification technique for hyperspectral imagery based on Harmonic Analysis, SVM and PSO","display_name":"A novel classification technique for hyperspectral imagery based on Harmonic Analysis, SVM and PSO","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2766647684","doi":"https://doi.org/10.1109/whispers.2013.8080622","mag":"2766647684"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018243278","display_name":"Zhaohui Xue","orcid":"https://orcid.org/0000-0001-6253-2967"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Xue","raw_affiliation_strings":["Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"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"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","School of Earth Sciences and Engineering, Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Sciences, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"1","last_page":"4"},"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":0.9980999827384949,"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":0.9901000261306763,"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/support-vector-machine","display_name":"Support vector machine","score":0.8176829814910889},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8066824078559875},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7775388360023499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7115035057067871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.699673593044281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963624119758606},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5743812322616577},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42909175157546997},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41731786727905273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18867191672325134}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8176829814910889},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8066824078559875},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7775388360023499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7115035057067871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.699673593044281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963624119758606},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5743812322616577},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42909175157546997},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41731786727905273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18867191672325134},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1975685499","https://openalex.org/W1976426738","https://openalex.org/W2019143339","https://openalex.org/W2054780659","https://openalex.org/W2122460654","https://openalex.org/W2125654608","https://openalex.org/W2131697388","https://openalex.org/W2136251662","https://openalex.org/W2151978020","https://openalex.org/W2154776925","https://openalex.org/W2160566385","https://openalex.org/W2164437025","https://openalex.org/W2365306539","https://openalex.org/W6682981795"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2113981829"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"classification":[7,129],"method":[8],"for":[9,53,84,111],"hyperspectral":[10,31],"imagery,":[11],"named":[12],"as":[13],"HA-PSO-SVM,":[14],"by":[15,36,61],"integrating":[16],"harmonic":[17],"analysis":[18],"(HA),":[19],"support":[20],"vector":[21],"machine":[22],"(SVM)":[23],"and":[24,39,57,76,103],"particle":[25],"swarm":[26],"optimization":[27],"(PSO).":[28],"Pixel":[29],"in":[30,41,70],"imagery":[32],"can":[33],"be":[34],"represented":[35],"amplitude,":[37],"phase":[38],"residual":[40],"frequency":[42],"domain":[43],"using":[44,64,113],"HA.":[45],"PSO":[46],"is":[47],"used":[48],"to":[49,87],"optimize":[50],"the":[51,62,89,92,114,123,127],"parameters":[52],"SVM.":[54],"Its":[55],"applicability":[56],"effects":[58],"are":[59,82,109],"assessed":[60],"experiment":[63],"one":[65],"airborne":[66],"ROSIS":[67],"data":[68],"set,":[69],"which":[71],"some":[72],"other":[73],"PCA,":[74],"MNF":[75],"ICA":[77],"based":[78,101,107],"feature":[79,117],"extraction":[80],"methods":[81],"adopted":[83],"comparison,":[85],"aiming":[86],"evaluate":[88],"performance":[90],"of":[91],"proposed":[93,124],"method.":[94],"Also,":[95],"another":[96],"two":[97],"classifiers:":[98],"CV":[99],"(Cross-validation)":[100],"SVM":[102,108],"GA":[104],"(Genetic":[105],"Algorithm)":[106],"designed":[110],"comparison":[112],"same":[115],"four":[116],"components.":[118],"Experimental":[119],"results":[120],"illustrate":[121],"that":[122],"model":[125],"gains":[126],"highest":[128],"accuracy.":[130]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
