{"id":"https://openalex.org/W3048130747","doi":"https://doi.org/10.1109/lgrs.2020.3008796","title":"Semisupervised Linear Discriminant Analysis Based on Pairwise Constraint Propagation for Hyperspectral Images","display_name":"Semisupervised Linear Discriminant Analysis Based on Pairwise Constraint Propagation for Hyperspectral Images","publication_year":2020,"publication_date":"2020-08-07","ids":{"openalex":"https://openalex.org/W3048130747","doi":"https://doi.org/10.1109/lgrs.2020.3008796","mag":"3048130747"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3008796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3008796","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5047746304","display_name":"Qiuling Hou","orcid":"https://orcid.org/0000-0002-6907-1654"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuling Hou","raw_affiliation_strings":["School of Management Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-6907-1654","affiliations":[{"raw_affiliation_string":"School of Management Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103281173","display_name":"Yiju Wang","orcid":"https://orcid.org/0000-0003-4802-2172"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiju Wang","raw_affiliation_strings":["School of Management Science, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569020","display_name":"Cuiling Li","orcid":"https://orcid.org/0000-0003-1643-819X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiling Li","raw_affiliation_strings":["School of Business, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1913,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57210085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"18","issue":"10","first_page":"1801","last_page":"1805"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9922000169754028,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7957018613815308},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7616862058639526},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7592192888259888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7407829761505127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7191542387008667},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7122722864151001},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6728067398071289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6252148747444153},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5445073843002319},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4671233296394348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31516164541244507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11790576577186584}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7957018613815308},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7616862058639526},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7592192888259888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7407829761505127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7191542387008667},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7122722864151001},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6728067398071289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6252148747444153},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5445073843002319},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4671233296394348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31516164541244507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11790576577186584},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3008796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3008796","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G1411221352","display_name":null,"funder_award_id":"11901343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1873760305","display_name":null,"funder_award_id":"ZR2019PA 016","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3929668127","display_name":"\u6570\u636e\u6316\u6398\u4e2d\u7684\u7a00\u758f\u5f20\u91cf\u4f18\u5316\u65b9\u6cd5\u7814\u7a76","funder_award_id":"11671228","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1875623881","https://openalex.org/W2046649434","https://openalex.org/W2064886835","https://openalex.org/W2103250033","https://openalex.org/W2109531142","https://openalex.org/W2154872931","https://openalex.org/W2163584563","https://openalex.org/W2171898484","https://openalex.org/W2293118840","https://openalex.org/W2327795403","https://openalex.org/W2437541582","https://openalex.org/W2614937618","https://openalex.org/W2756314412","https://openalex.org/W2791052411","https://openalex.org/W2920277426","https://openalex.org/W2944556810","https://openalex.org/W2963892472","https://openalex.org/W3014771378","https://openalex.org/W3099514962","https://openalex.org/W3100648197","https://openalex.org/W3148981562","https://openalex.org/W4238240379","https://openalex.org/W4250857377","https://openalex.org/W4293380554","https://openalex.org/W6675955514","https://openalex.org/W6676189307","https://openalex.org/W6682644385","https://openalex.org/W6692658850"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2794812819","https://openalex.org/W2114217318","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W1995622179","https://openalex.org/W2048680804","https://openalex.org/W2370263288","https://openalex.org/W1484111231"],"abstract_inverted_index":{"As":[0],"a":[1,50,76],"classical":[2],"supervised":[3],"dimensionality":[4],"reduction":[5],"(DR)":[6],"method,":[7],"linear":[8],"discriminant":[9],"analysis":[10],"(LDA)":[11],"has":[12],"been":[13],"developed":[14],"for":[15,63],"many":[16],"variants.":[17],"However,":[18],"it":[19],"is":[20,73,112],"not":[21],"applicable":[22],"to":[23,74,81,89,99,106],"the":[24,42,86,90,101,107],"case":[25],"that":[26,121],"labeled":[27,87],"samples":[28,33,88],"are":[29,34],"scarce":[30],"and":[31],"unlabeled":[32,91],"in":[35,41],"large":[36],"quantity,":[37],"which":[38],"always":[39],"happens":[40],"real":[43],"world.":[44],"In":[45,93],"this":[46,71],"letter,":[47],"we":[48],"propose":[49],"novel":[51],"technique":[52,80],"format":[53,98],"termed":[54],"semisupervised":[55,129],"LDA":[56,97],"based":[57],"on":[58,117],"pairwise":[59],"constraint":[60],"propagation":[61],"(SLDA-PCP)":[62],"hyperspectral":[64],"images":[65],"(HSIs).":[66],"The":[67],"basic":[68],"idea":[69],"of":[70],"method":[72],"use":[75],"specially":[77],"designed":[78],"PCP":[79],"propagate":[82],"label":[83,110],"information":[84,111],"from":[85],"samples.":[92],"addition,":[94],"an":[95],"extended":[96],"learn":[100],"optimal":[102],"projection":[103],"vectors":[104],"according":[105],"newly":[108],"obtained":[109],"also":[113],"created.":[114],"Comprehensive":[115],"experiments":[116],"two":[118],"HSIs":[119],"show":[120],"our":[122],"SLDA-PCP":[123],"performs":[124],"better":[125],"than":[126],"some":[127],"state-of-the-art":[128],"DR":[130],"methods.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
