{"id":"https://openalex.org/W3207691376","doi":"https://doi.org/10.1109/igarss47720.2021.9553127","title":"Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization","display_name":"Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207691376","doi":"https://doi.org/10.1109/igarss47720.2021.9553127","mag":"3207691376"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10037/31172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028571633","display_name":"Eduard Khachatrian","orcid":"https://orcid.org/0000-0002-5765-8781"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Eduard Khachatrian","raw_affiliation_strings":["UiT The Arctic, University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic, University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070085082","display_name":"Saloua Chlaily","orcid":"https://orcid.org/0000-0003-4591-0131"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Saloua Chlaily","raw_affiliation_strings":["UiT The Arctic, University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic, University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016021299","display_name":"Torbj\u00f8rn Eltoft","orcid":"https://orcid.org/0000-0002-1597-4364"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Torbjorn Eltoft","raw_affiliation_strings":["UiT The Arctic, University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic, University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Gamba","raw_affiliation_strings":["Telecommunications and Remote Sensing Lab., University of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Telecommunications and Remote Sensing Lab., University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083495404","display_name":"Andrea Marinoni","orcid":"https://orcid.org/0000-0001-6789-0915"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andrea Marinoni","raw_affiliation_strings":["UiT The Arctic, University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic, University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028571633"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19934739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4007","last_page":"4010"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9768999814987183,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.8895049095153809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949522495269775},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5948707461357117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5947411060333252},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5924266576766968},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.589291512966156},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5775225758552551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694402456283569},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5280683040618896},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4928129017353058},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.46609440445899963},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4396589994430542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42757341265678406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32133978605270386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23739874362945557},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19089096784591675},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.15613681077957153}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8895049095153809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949522495269775},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5948707461357117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5947411060333252},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5924266576766968},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.589291512966156},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5775225758552551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694402456283569},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5280683040618896},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4928129017353058},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.46609440445899963},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4396589994430542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42757341265678406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32133978605270386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23739874362945557},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19089096784591675},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.15613681077957153},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:munin.uit.no:10037/31172","is_oa":true,"landing_page_url":"https://hdl.handle.net/10037/31172","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:munin.uit.no:10037/31172","is_oa":true,"landing_page_url":"https://hdl.handle.net/10037/31172","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6194646602","display_name":null,"funder_award_id":"237906","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"}],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W135467536","https://openalex.org/W1584972072","https://openalex.org/W1585431621","https://openalex.org/W1651114007","https://openalex.org/W1716876189","https://openalex.org/W1993022127","https://openalex.org/W2005871861","https://openalex.org/W2088657558","https://openalex.org/W2109836508","https://openalex.org/W2117741752","https://openalex.org/W2132914434","https://openalex.org/W2152786555","https://openalex.org/W2171350553","https://openalex.org/W2177443438","https://openalex.org/W2478493250","https://openalex.org/W2494485523","https://openalex.org/W2530006000","https://openalex.org/W2613070336","https://openalex.org/W2902093021","https://openalex.org/W2911627187","https://openalex.org/W2950325582","https://openalex.org/W6634966438","https://openalex.org/W6637055967","https://openalex.org/W6756622717"],"related_works":["https://openalex.org/W1978077614","https://openalex.org/W1982418987","https://openalex.org/W2603494857","https://openalex.org/W2570009360","https://openalex.org/W2024377932","https://openalex.org/W3004345458","https://openalex.org/W2799746630","https://openalex.org/W2883186538","https://openalex.org/W2051180862","https://openalex.org/W1976439244"],"abstract_inverted_index":{"The":[0],"vast":[1],"amount":[2],"of":[3,19,40,93,100,104,115,128],"spectral":[4,132],"information":[5,39],"provided":[6],"by":[7],"hyperspectral":[8],"images":[9],"can":[10],"be":[11],"useful":[12],"for":[13],"different":[14],"applications.":[15],"However,":[16],"the":[17,38,41,98,102,105,113,116,126,129],"presence":[18],"redundant":[20],"bands":[21,106],"will":[22],"negatively":[23],"affect":[24],"application":[25],"performance.":[26],"Therefore,":[27],"it":[28,73,81],"is":[29,74],"crucial":[30],"to":[31,84,118],"select":[32],"a":[33,77],"relevant":[34],"subset":[35],"that":[36],"preserves":[37],"original":[42,94],"set.":[43],"In":[44],"this":[45,65],"paper,":[46],"we":[47],"present":[48],"an":[49],"automatic":[50],"and":[51,109,112],"accurate":[52],"band":[53,62],"selection":[54,63,127],"method":[55,66,117],"based":[56],"on":[57,76],"Graph":[58],"Laplacians.":[59],"Unlike":[60],"existing":[61],"methods,":[64],"exploits":[67],"two":[68],"similarity":[69],"measures":[70],"simultaneously.":[71],"Furthermore,":[72],"performed":[75],"superpixel":[78],"level,":[79],"so":[80],"allows":[82],"us":[83],"preserve":[85],"not":[86],"only":[87],"global":[88,110],"but":[89],"contemporaneously":[90],"local":[91,108],"particularities":[92],"data.":[95],"Experiments":[96],"show":[97],"importance":[99],"measuring":[101],"relevance":[103],"at":[107],"scales":[111],"ability":[114],"minimize":[119],"intercorrelation":[120],"among":[121],"selected":[122],"bands,":[123],"hence":[124],"improving":[125],"most":[130],"informative":[131],"channels.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
