{"id":"https://openalex.org/W2766829770","doi":"https://doi.org/10.1109/whispers.2016.8071777","title":"Discriminative graph-based dimensionality reduction for hyperspectral image classification","display_name":"Discriminative graph-based dimensionality reduction for hyperspectral image classification","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766829770","doi":"https://doi.org/10.1109/whispers.2016.8071777","mag":"2766829770"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th 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/A5034748006","display_name":"Yanfeng Gu","orcid":"https://orcid.org/0000-0003-1625-7989"},"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":"Yanfeng Gu","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039540933","display_name":"Qingwang Wang","orcid":"https://orcid.org/0000-0001-5820-5357"},"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":"Qingwang Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034748006"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71189068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"52","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":0.9994000196456909,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9793999791145325,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9599999785423279,"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/discriminative-model","display_name":"Discriminative model","score":0.8215899467468262},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8016554117202759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7591626644134521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6341302990913391},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5929476618766785},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5689098238945007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4848824441432953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48288893699645996},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46537017822265625},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4595467448234558},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4395098388195038},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.43524739146232605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2320634424686432}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8215899467468262},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8016554117202759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7591626644134521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6341302990913391},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5929476618766785},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5689098238945007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4848824441432953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48288893699645996},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46537017822265625},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4595467448234558},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4395098388195038},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.43524739146232605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2320634424686432},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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.2016.8071777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2005106632","https://openalex.org/W2007653704","https://openalex.org/W2012508386","https://openalex.org/W2037034832","https://openalex.org/W2054689043","https://openalex.org/W2071128523","https://openalex.org/W2078495963","https://openalex.org/W2136540140","https://openalex.org/W2151194477","https://openalex.org/W3148981562","https://openalex.org/W6659473942"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2120164251","https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125"],"abstract_inverted_index":{"A":[0],"novel":[1],"discriminative":[2],"graph-based":[3],"dimensionality":[4,12,139,142,155],"reduction":[5,13,143,156],"(DGDR)":[6],"model":[7],"is":[8,23,88],"proposed":[9,21,55,124],"for":[10,26,126],"HSI":[11,127],"and":[14,42,102,136,140],"classification.":[15],"The":[16,54,74,116],"core":[17],"idea":[18],"of":[19,39,51,76,94,97,100,122,148],"the":[20,32,37,44,49,70,77,84,92,105,120,123,134,145],"method":[22,56,125],"to":[24,90],"search":[25],"a":[27,113],"projection":[28],"function":[29],"by":[30,81],"minimizing":[31],"similarity":[33,95],"term":[34,46],"that":[35,47],"contains":[36,48],"relation":[38,50],"within-class":[40],"scatter":[41],"maximizing":[43],"dissimilarity":[45],"between-class":[52],"distance.":[53],"pulls":[57],"close":[58],"together":[59],"samples":[60,67],"being":[61],"similar":[62],"while":[63],"pushing":[64],"those":[65],"dissimilar":[66],"apart":[68],"in":[69,129],"projected":[71],"latent":[72],"space.":[73],"edges":[75],"graphs":[78],"are":[79,110],"measured":[80],"kernel.":[82],"Furthermore,":[83],"multiscale":[85],"DGDR":[86],"(MS-DGDR)":[87],"introduced":[89],"utilize":[91],"capability":[93],"measure":[96],"different":[98],"scales":[99],"kernel":[101],"avoid":[103],"finding":[104],"optimal":[106],"scale":[107],"simultaneously.":[108],"Experiments":[109],"conducted":[111],"on":[112],"real":[114],"HSI.":[115],"corresponding":[117],"results":[118],"demonstrate":[119],"effectiveness":[121],"both":[128],"improving":[130],"classification":[131,149],"accuracy":[132],"with":[133,144,152],"same":[135,146],"fixed":[137],"feature":[138,141],"requirement":[147],"accuracy,":[150],"compared":[151],"several":[153],"state-of-the-art":[154],"algorithms.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
