{"id":"https://openalex.org/W2545637130","doi":"https://doi.org/10.1109/whispers.2012.6874242","title":"Semi-supervised dimensionality reduction for hyperspectral remote sensing image classification","display_name":"Semi-supervised dimensionality reduction for hyperspectral remote sensing image classification","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2545637130","doi":"https://doi.org/10.1109/whispers.2012.6874242","mag":"2545637130"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (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/A5000395252","display_name":"Junshi Xia","orcid":"https://orcid.org/0000-0002-5586-6536"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junshi Xia","raw_affiliation_strings":["Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France"],"affiliations":[{"raw_affiliation_string":"GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]},{"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 Science, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103877650","display_name":"Xiyan He","orcid":null},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xiyan He","raw_affiliation_strings":["GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France"],"affiliations":[{"raw_affiliation_string":"GIPSA-Lab-Grenoble Institute of Technology, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000395252"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.46103896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9868999719619751,"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/T10057","display_name":"Face and Expression Recognition","score":0.958299994468689,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8400230407714844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7659536004066467},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.630740225315094},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5906791687011719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5823767185211182},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5699821710586548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5174608826637268},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.46519505977630615},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.41502365469932556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36059725284576416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3271019160747528}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8400230407714844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7659536004066467},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.630740225315094},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5906791687011719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5823767185211182},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5699821710586548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5174608826637268},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.46519505977630615},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.41502365469932556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36059725284576416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3271019160747528}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1486944100","https://openalex.org/W1564277727","https://openalex.org/W1969204685","https://openalex.org/W2103731208","https://openalex.org/W2106777458","https://openalex.org/W2113590298","https://openalex.org/W2125027820","https://openalex.org/W2127808402","https://openalex.org/W2148863790","https://openalex.org/W2154506590","https://openalex.org/W2156005575","https://openalex.org/W6629178964"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W2292979300","https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W3147024994","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W2063246903"],"abstract_inverted_index":{"Class":[0],"labels":[1],"and":[2,45,88],"pairwise":[3,50],"constraints":[4,51],"are":[5,69,94],"adopted":[6],"as":[7],"the":[8,13,59],"prior":[9],"information":[10],"to":[11,57,96],"present":[12],"semi-supervised":[14,25,35,46,65,80],"dimensionality":[15,47,66],"reduction":[16,48,67],"for":[17],"hyperspectral":[18,62],"image.":[19,63],"In":[20],"this":[21],"paper,":[22],"we":[23],"extend":[24],"probabilistic":[26],"principal":[27],"component":[28],"analysis":[29,39],"(S":[30,40,52],"<sup":[31,41,53,84,90],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[32,42,54,85,91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[33,43,55,86,92],"PPCA),":[34],"local":[36],"fisher":[37],"discriminant":[38],"LFDA)":[44],"with":[49,71],"DRpc)":[56],"extract":[58],"features":[60],"of":[61,82],"These":[64],"approaches":[68],"compared":[70],"PCA":[72],"in":[73],"classification":[74],"task.":[75],"Experimental":[76],"results":[77],"show":[78],"that":[79],"algorithms":[81],"S":[83,89],"PPCA":[87],"DRpc":[93],"superior":[95],"PCA.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}