{"id":"https://openalex.org/W2766182812","doi":"https://doi.org/10.1109/whispers.2014.8077523","title":"An introduction to spectral graph techniques for the analysis of hyperspectral image data","display_name":"An introduction to spectral graph techniques for the analysis of hyperspectral image data","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2766182812","doi":"https://doi.org/10.1109/whispers.2014.8077523","mag":"2766182812"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th 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/A5015492806","display_name":"David Gillis","orcid":"https://orcid.org/0000-0002-8319-9419"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Gillis","raw_affiliation_strings":["Naval Research Laboratory, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043317825","display_name":"David W. Messinger","orcid":"https://orcid.org/0000-0002-2273-9194"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Messinger","raw_affiliation_strings":["Naval Research Laboratory, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015492806"],"corresponding_institution_ids":["https://openalex.org/I1288214837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46233618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6565","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":0.9998999834060669,"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":0.9998999834060669,"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":0.975600004196167,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9753999710083008,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8978190422058105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7143319249153137},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6394179463386536},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5462961792945862},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4874894618988037},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.47559890151023865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4426572024822235},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4243810176849365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3822126090526581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35352301597595215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33481135964393616},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29400351643562317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19776999950408936}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8978190422058105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143319249153137},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6394179463386536},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5462961792945862},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4874894618988037},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.47559890151023865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4426572024822235},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4243810176849365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3822126090526581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35352301597595215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33481135964393616},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29400351643562317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19776999950408936},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2014.8077523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th 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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2001141328","https://openalex.org/W2063385051","https://openalex.org/W2077347596","https://openalex.org/W2097308346","https://openalex.org/W2111282613","https://openalex.org/W2121947440","https://openalex.org/W2129652905","https://openalex.org/W2132914434","https://openalex.org/W2156167477","https://openalex.org/W2156287497","https://openalex.org/W2171171329","https://openalex.org/W4230962939"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W2292979300","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1489327846","https://openalex.org/W4287375746"],"abstract_inverted_index":{"Two":[0],"of":[1,38,48,85,88,112,130,171],"the":[2,14,49,81,102,107,113,119,172],"biggest":[3],"challenges":[4],"in":[5,118],"analyzing":[6,76],"HyperSpectral":[7],"Image":[8],"(HSI)":[9],"data":[10,15,78,114,146],"are":[11,91],"that,":[12],"first,":[13],"is":[16,53,104],"very":[17,23,72],"high-dimensional,":[18],"and":[19,29,42,109,158,166,178],"secondly,":[20],"by":[21,98],"its":[22],"nature,":[24],"HSI":[25,95,145],"contains":[26],"both":[27,46,106],"spatial":[28,108],"spectral":[30,61,110,131],"information.":[31],"In":[32,58,121],"order":[33],"to":[34,69,94,143,149,183],"make":[35],"full":[36],"use":[37],"this":[39,52,122],"information,":[40],"models":[41],"algorithms":[43],"should":[44],"incorporate":[45],"aspects":[47],"data;":[50,96],"unfortunately,":[51],"a":[54,71,126],"decidedly":[55],"non-trivial":[56],"problem.":[57],"recent":[59],"years,":[60],"graph":[62,103,132],"theory":[63],"(including":[64],"manifold":[65],"learning)":[66],"has":[67],"proven":[68],"be":[70,116,141,184],"successful":[73],"technique":[74],"for":[75],"high-dimensional":[77],"sets.":[79],"Given":[80],"highly":[82],"abstract":[83],"nature":[84,111],"graphs,":[86],"many":[87],"these":[89],"techniques":[90],"easily":[92],"applied":[93],"moreover,":[97],"carefully":[99],"choosing":[100],"how":[101,138],"constructed,":[105],"can":[115,140],"included":[117],"model.":[120],"note,":[123],"we":[124],"present":[125],"general":[127],"background":[128],"overview":[129],"theory,":[133],"with":[134],"an":[135],"emphasis":[136],"on":[137],"it":[139],"used":[142],"analyze":[144],"(in":[147],"particular,":[148],"perform":[150],"nonlinear":[151],"dimensionality":[152],"reduction":[153],"as":[154,156,175],"well":[155],"segmentation":[157],"classification).":[159],"We":[160],"include":[161],"examples":[162],"from":[163],"real-world":[164],"data,":[165],"also":[167],"point":[168],"out":[169],"some":[170],"issues":[173],"(such":[174],"computational":[176],"complexity":[177],"storage":[179],"requirements)":[180],"that":[181],"need":[182],"addressed.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}