{"id":"https://openalex.org/W2067707954","doi":"https://doi.org/10.1109/igarss.2015.7326105","title":"Change detection for hyperspectral images based on tensor analysis","display_name":"Change detection for hyperspectral images based on tensor analysis","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2067707954","doi":"https://doi.org/10.1109/igarss.2015.7326105","mag":"2067707954"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Zhao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059575276","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0003-4748-6426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007793796","display_name":"Yubin Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Niu","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067662547","display_name":"Wei Xia","orcid":"https://orcid.org/0000-0001-8988-8381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xia","raw_affiliation_strings":["China Transport Telecommunications & Information Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Transport Telecommunications & Information Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087954561","display_name":"Jian Qiu Zhang","orcid":"https://orcid.org/0000-0002-6346-6495"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Qiu Zhang","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083412798","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0001-6348-010X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1514,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87459692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1662","last_page":"1665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9934999942779541,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8460134267807007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7002496719360352},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6797990798950195},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6507148146629333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319006681442261},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6290091276168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.628981351852417},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6034225225448608},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5866590738296509},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5102682113647461},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4532053768634796},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44627270102500916},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4346621334552765},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.429916650056839},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3327750563621521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3021501302719116},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.13228347897529602}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8460134267807007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7002496719360352},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6797990798950195},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6507148146629333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319006681442261},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6290091276168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.628981351852417},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6034225225448608},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5866590738296509},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5102682113647461},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4532053768634796},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44627270102500916},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4346621334552765},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.429916650056839},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3327750563621521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3021501302719116},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.13228347897529602},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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":7,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1720620764","https://openalex.org/W1979061792","https://openalex.org/W2001298088","https://openalex.org/W2008265903","https://openalex.org/W2134451879","https://openalex.org/W6637653816"],"related_works":["https://openalex.org/W1973197867","https://openalex.org/W4281675222","https://openalex.org/W2568271140","https://openalex.org/W2782904003","https://openalex.org/W4226434912","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W2002598339","https://openalex.org/W2920931670","https://openalex.org/W1995410415"],"abstract_inverted_index":{"Change":[0],"detection":[1],"for":[2,38,41,46],"multitemporal":[3,31],"hyperspectral":[4],"images":[5],"(HSIs)":[6],"involves":[7],"two":[8,45],"major":[9],"steps:":[10],"change":[11,76,85,93],"feature":[12,86],"extraction":[13,87],"and":[14,44,72],"classification.":[15],"For":[16],"the":[17,65,69,81,84,92],"first":[18],"part,":[19],"conventional":[20],"methods":[21],"mostly":[22],"consider":[23],"spectral":[24,42],"features":[25],"but":[26],"neglect":[27],"spatial":[28,47],"patterns.":[29],"Since":[30],"HSIs":[32],"consist":[33],"of":[34,83],"four":[35],"dimensions":[36,70],"(one":[37],"time,":[39],"one":[40],"domain":[43],"domain),":[48],"we":[49],"propose":[50],"using":[51],"4-dimensional":[52],"Higher":[53],"Order":[54],"Singular":[55],"Value":[56],"Decomposition":[57],"(4D-HOSVD)":[58],"based":[59],"on":[60,80],"tensor":[61],"algebra":[62],"to":[63,95],"capture":[64],"details":[66],"in":[67],"all":[68],"simultaneously":[71],"thus":[73],"producing":[74],"comprehensive":[75],"features.":[77],"To":[78],"emphasize":[79],"effectiveness":[82],"method,":[88],"this":[89],"paper":[90],"reduces":[91],"classification":[94],"a":[96,100],"simple":[97],"binary":[98],"problem:":[99],"pixel":[101],"is":[102],"either":[103],"changed":[104],"or":[105],"unchanged.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"4D-HOSVD":[111],"can":[112],"outperform":[113],"its":[114],"matrix":[115],"counterpart,":[116],"Principal":[117],"Component":[118],"Analysis":[119],"(PCA),":[120],"as":[121,123],"well":[122],"some":[124],"other":[125],"widely":[126],"adopted":[127],"method.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}