{"id":"https://openalex.org/W1972405078","doi":"https://doi.org/10.1109/i2mtc.2013.6555574","title":"An optimization-based ensemble EMD for classification of hyperspectral images","display_name":"An optimization-based ensemble EMD for classification of hyperspectral images","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1972405078","doi":"https://doi.org/10.1109/i2mtc.2013.6555574","mag":"1972405078"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2013.6555574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5009129294","display_name":"Yi Shen","orcid":"https://orcid.org/0000-0002-3198-1927"},"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":true,"raw_author_name":"Yi Shen","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102885509","display_name":"Zhi He","orcid":"https://orcid.org/0000-0002-9779-8818"},"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":"Zhi He","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455456","display_name":"Xiaoshuai Li","orcid":"https://orcid.org/0000-0002-9848-4597"},"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":"Xiaoshuai Li","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055119440","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9654-0268"},"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":"Qiang Wang","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376455","display_name":"Miao Zhang","orcid":"https://orcid.org/0009-0007-6145-8049"},"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":"Miao Zhang","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322632","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-2246-6819"},"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":"Yan Wang","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, China","[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"[Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China]","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009129294"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.4454,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83802857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":null,"first_page":"1045","last_page":"1050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9925000071525574,"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":0.9925000071525574,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8783339262008667},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7794036865234375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076572775840759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025039196014404},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6989105343818665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6718612909317017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6257092952728271},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5911570191383362},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5101409554481506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3409479260444641},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3209981918334961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2028936743736267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13255959749221802}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8783339262008667},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7794036865234375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076572775840759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025039196014404},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6989105343818665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6718612909317017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6257092952728271},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5911570191383362},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5101409554481506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3409479260444641},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3209981918334961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2028936743736267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13255959749221802},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2013.6555574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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":29,"referenced_works":["https://openalex.org/W1973944664","https://openalex.org/W1980335005","https://openalex.org/W1994722468","https://openalex.org/W2004075725","https://openalex.org/W2007221293","https://openalex.org/W2013793344","https://openalex.org/W2035549557","https://openalex.org/W2038798543","https://openalex.org/W2063822364","https://openalex.org/W2064886835","https://openalex.org/W2072426906","https://openalex.org/W2077113566","https://openalex.org/W2081584380","https://openalex.org/W2100740156","https://openalex.org/W2104453356","https://openalex.org/W2114220616","https://openalex.org/W2120390927","https://openalex.org/W2126326837","https://openalex.org/W2126796976","https://openalex.org/W2129276500","https://openalex.org/W2134339791","https://openalex.org/W2140991832","https://openalex.org/W2159070926","https://openalex.org/W4232380507","https://openalex.org/W4400445037","https://openalex.org/W6653911226","https://openalex.org/W6666766932","https://openalex.org/W6670974135","https://openalex.org/W6675804494"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2072166414","https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2361368121"],"abstract_inverted_index":{"Extraction":[0],"of":[1,17,29,39,93,111,132],"the":[2,25,34,50,58,81,91,94,97,104,112,118,122,129],"essential":[3],"features":[4,110],"from":[5],"massive":[6],"bands":[7],"is":[8,42,83],"a":[9,65,72],"key":[10],"issue":[11],"in":[12,24,85],"hyperspectral":[13,113,126],"images":[14],"classification.":[15],"Plenty":[16],"feature":[18],"extraction":[19],"techniques":[20],"can":[21],"be":[22],"found":[23],"literature":[26],"but":[27],"most":[28],"these":[30],"methods":[31],"rely":[32],"on":[33,49,121],"linear/stationary":[35],"assumptions.":[36],"The":[37],"aim":[38],"this":[40],"paper":[41],"to":[43,76,89],"propose":[44],"an":[45],"alternative":[46],"methodology":[47],"based":[48],"ensemble":[51],"empirical":[52],"mode":[53,99],"decomposition":[54],"(EEMD)":[55],"and":[56,115],"utilize":[57],"versatile":[59],"support":[60],"vector":[61],"machine":[62],"(SVM)":[63],"as":[64,109],"classifier.":[66],"An":[67],"optimization":[68],"problem,":[69],"which":[70],"minimizes":[71],"smooth":[73],"function":[74],"subjected":[75],"inequality":[77],"constraints":[78],"associated":[79],"with":[80],"extrema,":[82],"formulated":[84],"each":[86],"iteration":[87],"step":[88],"enhance":[90],"benefits":[92],"EEMD.":[95],"Additionally,":[96],"intrinsic":[98],"functions":[100],"(IMFs)":[101],"extracted":[102],"by":[103,117],"optimization-based":[105],"EEMD":[106],"are":[107],"taken":[108],"dataset":[114,127],"classified":[116],"SVM.":[119],"Simulations":[120],"Washington":[123],"D.C.":[124],"mall":[125],"confirm":[128],"promising":[130],"performance":[131],"our":[133],"approach.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
