{"id":"https://openalex.org/W2546793599","doi":"https://doi.org/10.1109/whispers.2012.6874223","title":"A new method for change analysis of multi-temporal hyperspectral images","display_name":"A new method for change analysis of multi-temporal hyperspectral images","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2546793599","doi":"https://doi.org/10.1109/whispers.2012.6874223","mag":"2546793599"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874223","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/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033017179"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.3156,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.58785942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9869999885559082,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9801999926567078,"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":0.9148968458175659},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.8663527965545654},{"id":"https://openalex.org/keywords/multilinear-algebra","display_name":"Multilinear algebra","score":0.7341610193252563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513227820396423},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5814683437347412},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5758377313613892},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.5600681900978088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5591132640838623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5406285524368286},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5210118293762207},{"id":"https://openalex.org/keywords/tensor-algebra","display_name":"Tensor algebra","score":0.4299827814102173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27705085277557373},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.1760096251964569}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9148968458175659},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.8663527965545654},{"id":"https://openalex.org/C60321788","wikidata":"https://www.wikidata.org/wiki/Q1197190","display_name":"Multilinear algebra","level":5,"score":0.7341610193252563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513227820396423},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5814683437347412},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5758377313613892},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.5600681900978088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591132640838623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5406285524368286},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5210118293762207},{"id":"https://openalex.org/C1680195","wikidata":"https://www.wikidata.org/wiki/Q2296021","display_name":"Tensor algebra","level":5,"score":0.4299827814102173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27705085277557373},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.1760096251964569},{"id":"https://openalex.org/C100376341","wikidata":"https://www.wikidata.org/wiki/Q649977","display_name":"Jordan algebra","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C169171071","wikidata":"https://www.wikidata.org/wiki/Q5449241","display_name":"Filtered algebra","level":3,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C81999800","wikidata":"https://www.wikidata.org/wiki/Q1454725","display_name":"Current algebra","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138354692","wikidata":"https://www.wikidata.org/wiki/Q1231309","display_name":"Division algebra","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874223","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1499255288","https://openalex.org/W1963826206","https://openalex.org/W1991042426","https://openalex.org/W1997466525","https://openalex.org/W2000215628","https://openalex.org/W2013912476","https://openalex.org/W2018282388","https://openalex.org/W2020141522","https://openalex.org/W2041811077","https://openalex.org/W2057503509","https://openalex.org/W2068115394","https://openalex.org/W2121739212","https://openalex.org/W2122700624","https://openalex.org/W2140862024","https://openalex.org/W2150059498","https://openalex.org/W2165577558","https://openalex.org/W2166508941","https://openalex.org/W2170140722","https://openalex.org/W6629944422"],"related_works":["https://openalex.org/W2071105597","https://openalex.org/W2242909499","https://openalex.org/W2405717268","https://openalex.org/W2946637708","https://openalex.org/W2100779717","https://openalex.org/W3189506985","https://openalex.org/W2901391673","https://openalex.org/W4376274937","https://openalex.org/W4235893778","https://openalex.org/W2113055885"],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper,":[2],"we":[3],"propose":[4],"a":[5],"new":[6,56],"method":[7,57],"based":[8],"on":[9],"tensor":[10],"factorization":[11],"(TF)":[12],"for":[13],"hyperspectral":[14],"change":[15],"detection.":[16],"The":[17,30,50],"multilinear":[18],"algebra":[19],"is":[20,58],"used":[21],"to":[22],"consider":[23],"the":[24,36,40,47,62,68],"whole":[25],"data":[26],"of":[27,38,60,65,70],"multi-temporal":[28],"images.":[29,49],"tensor-based":[31],"representation":[32],"and":[33,43,72],"analysis":[34],"has":[35],"advantage":[37],"keeping":[39],"spatial,":[41],"spectral,":[42],"temporal":[44],"structures":[45],"in":[46,67],"original":[48],"preliminary":[51],"result":[52],"shows":[53],"that":[54],"capable":[59],"finding":[61],"foreground":[63],"changes":[64],"interest":[66],"presence":[69],"diurnal":[71],"seasonal":[73],"variations.":[74]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}