{"id":"https://openalex.org/W2533549789","doi":"https://doi.org/10.1109/whispers.2012.6874245","title":"Unsupervised hierarchical spectral analysis for change detection in hyperspectral images","display_name":"Unsupervised hierarchical spectral analysis for change detection in hyperspectral images","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2533549789","doi":"https://doi.org/10.1109/whispers.2012.6874245","mag":"2533549789"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874245","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/A5100684827","display_name":"Sicong Liu","orcid":"https://orcid.org/0000-0003-1612-4844"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sicong Liu","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","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, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100684827"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":1.5563,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8688789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9965999722480774,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9818000197410583,"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":0.9814517498016357},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7278356552124023},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6868057250976562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854866147041321},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6462888717651367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5843165516853333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241751074790955},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4886203408241272},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4689958393573761},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42661529779434204},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4241592586040497},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4175616204738617},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4155331254005432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16315171122550964},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10227897763252258},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07033467292785645}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9814517498016357},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7278356552124023},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6868057250976562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854866147041321},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6462888717651367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5843165516853333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241751074790955},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4886203408241272},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4689958393573761},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42661529779434204},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4241592586040497},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4175616204738617},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4155331254005432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16315171122550964},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10227897763252258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07033467292785645},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2012.6874245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874245","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"},{"id":"pmh:oai:iris.unitn.it:11572/99335","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/99335","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1997466525","https://openalex.org/W2071902553","https://openalex.org/W2100968209","https://openalex.org/W2155902501"],"related_works":["https://openalex.org/W1973197867","https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2132083814","https://openalex.org/W2626158795","https://openalex.org/W2292979300"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3],"novel":[4],"unsupervised":[5],"approach":[6],"to":[7,50,76,86,95,114,127,173],"change":[8,118,132,146],"detection":[9,98,147],"in":[10,68,74,140,148,179],"multi-temporal":[11],"hyperspectral":[12,34,136,180],"remote":[13],"sensing":[14],"images":[15,137],"based":[16],"on":[17,32,109],"hierarchical":[18,164],"spectral":[19,52,165],"analysis":[20,105],"and":[21,41,82],"dimensionality":[22,40],"reduction.":[23],"The":[24,152],"uniform":[25],"feature":[26],"design":[27],"(UFD)":[28],"strategy":[29],"is":[30,107],"implemented":[31],"original":[33],"data":[35,39,46,64],"for":[36,143],"decreasing":[37],"the":[38,69,79,83,87,97,110,130,144,155,158,163,176],"building":[42],"different":[43],"levels":[44],"of":[45,90,157],"sets":[47],"from":[48,61],"coarse":[49],"fine":[51],"resolutions.":[53],"Significant":[54],"changes":[55,169],"that":[56],"can":[57,124,170],"be":[58,171],"easily":[59],"extracted":[60],"low":[62],"resolution":[63,72],"are":[65,138],"then":[66],"eliminated":[67],"next":[70],"high":[71],"level,":[73,102],"order":[75],"both":[77],"avoid":[78],"computation":[80],"burden":[81],"complexity":[84],"due":[85],"increased":[88],"number":[89],"channels,":[91],"as":[92,94],"well":[93],"improve":[96],"accuracy.":[99],"In":[100],"each":[101],"independent":[103,121],"component":[104],"(ICA)":[106],"used":[108,139],"hyperdimensional":[111],"difference":[112],"image":[113],"further":[115],"separate":[116],"specific":[117],"targets":[119],"into":[120],"components,":[122],"which":[123],"help":[125],"us":[126],"better":[128],"identify":[129],"target":[131],"information.":[133],"Bi-temporal":[134],"Hyperion":[135],"our":[141],"experiment":[142],"vegetation":[145],"coastal":[149],"wetland":[150],"areas.":[151],"results":[153],"confirm":[154],"effectiveness":[156],"proposed":[159],"technique.":[160],"By":[161],"using":[162],"analysis,":[166],"more":[167],"subtle":[168],"detected":[172],"fully":[174],"exploit":[175],"information":[177],"contained":[178],"data.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}