{"id":"https://openalex.org/W2756481566","doi":"https://doi.org/10.3390/rs9101008","title":"Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images","display_name":"Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images","publication_year":2017,"publication_date":"2017-09-29","ids":{"openalex":"https://openalex.org/W2756481566","doi":"https://doi.org/10.3390/rs9101008","mag":"2756481566"},"language":"en","primary_location":{"id":"doi:10.3390/rs9101008","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9101008","pdf_url":"https://www.mdpi.com/2072-4292/9/10/1008/pdf?version=1506686590","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/9/10/1008/pdf?version=1506686590","any_repository_has_fulltext":true},"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/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sicong Liu","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"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":["CN","US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631478","display_name":"Alim Samat","orcid":"https://orcid.org/0000-0002-9091-6033"},"institutions":[{"id":"https://openalex.org/I4210101675","display_name":"Research Center for Ecology and Environment of Central Asia","ror":"https://ror.org/00q2dta10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101675","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Alim Samat","raw_affiliation_strings":["Xinjiang Institute of Ecology and Geography, CAS and the CAS Research Center for Ecology and Environment of Central Asia, Urumqi 830011, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang Institute of Ecology and Geography, CAS and the CAS Research Center for Ecology and Environment of Central Asia, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210101675","https://openalex.org/I4210103115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101167386","display_name":"Haiyan Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Pan","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100747582","display_name":"Xiaolong Ma","orcid":"https://orcid.org/0000-0002-5616-9767"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Ma","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039348214","https://openalex.org/A5100684827"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.9805,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.94583537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":"10","first_page":"1008","last_page":"1008"},"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":0.9887999892234802,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9535999894142151,"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":0.8731729984283447},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.768753170967102},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7412079572677612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286950945854187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6885935664176941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6799623966217041},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5349807739257812},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5256323218345642},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4647215008735657},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4579145014286041},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4470342695713043},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4331786036491394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33466482162475586},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2796265482902527},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06934002041816711}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8731729984283447},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.768753170967102},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7412079572677612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286950945854187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6885935664176941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6799623966217041},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5349807739257812},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5256323218345642},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4647215008735657},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4579145014286041},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4470342695713043},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4331786036491394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33466482162475586},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2796265482902527},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06934002041816711}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs9101008","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9101008","pdf_url":"https://www.mdpi.com/2072-4292/9/10/1008/pdf?version=1506686590","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de56669793b94a6a8881bd92cfba6bd8","is_oa":true,"landing_page_url":"https://doaj.org/article/de56669793b94a6a8881bd92cfba6bd8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 9, Iss 10, p 1008 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/9/10/1008/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs9101008","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 9; Issue 10; Pages: 1008","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs9101008","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9101008","pdf_url":"https://www.mdpi.com/2072-4292/9/10/1008/pdf?version=1506686590","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2049544090","display_name":null,"funder_award_id":"41601440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3082951707","display_name":null,"funder_award_id":"41601354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756481566.pdf","grobid_xml":"https://content.openalex.org/works/W2756481566.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1554230853","https://openalex.org/W1600877088","https://openalex.org/W1932531222","https://openalex.org/W1974573780","https://openalex.org/W1977942753","https://openalex.org/W1996061706","https://openalex.org/W1997466525","https://openalex.org/W2001298088","https://openalex.org/W2001435354","https://openalex.org/W2008265903","https://openalex.org/W2040985699","https://openalex.org/W2047029347","https://openalex.org/W2063145744","https://openalex.org/W2064987453","https://openalex.org/W2073134030","https://openalex.org/W2074010031","https://openalex.org/W2078491260","https://openalex.org/W2085283969","https://openalex.org/W2089731888","https://openalex.org/W2096553553","https://openalex.org/W2097900616","https://openalex.org/W2098057602","https://openalex.org/W2104374858","https://openalex.org/W2109725152","https://openalex.org/W2109836508","https://openalex.org/W2117741752","https://openalex.org/W2118116484","https://openalex.org/W2134451879","https://openalex.org/W2143277109","https://openalex.org/W2153635508","https://openalex.org/W2160544350","https://openalex.org/W2165577558","https://openalex.org/W2165755981","https://openalex.org/W2190646811","https://openalex.org/W2211548590","https://openalex.org/W2294445779","https://openalex.org/W2316226477","https://openalex.org/W2327049400","https://openalex.org/W2334023959","https://openalex.org/W2388485319","https://openalex.org/W2479519232","https://openalex.org/W2533549789","https://openalex.org/W2568271140","https://openalex.org/W2580843432","https://openalex.org/W2593542728","https://openalex.org/W2611628885","https://openalex.org/W3195212285","https://openalex.org/W6701383950"],"related_works":["https://openalex.org/W3005969065","https://openalex.org/W2031512949","https://openalex.org/W2084145074","https://openalex.org/W2160357252","https://openalex.org/W4206417246","https://openalex.org/W2905390890","https://openalex.org/W2800266504","https://openalex.org/W2090253159","https://openalex.org/W2969881582","https://openalex.org/W4390107508"],"abstract_inverted_index":{"This":[0],"paper":[1,110],"proposes":[2],"to":[3,28,112,132,160,186],"use":[4],"band":[5,42,125],"selection-based":[6],"dimensionality":[7,146],"reduction":[8],"(BS-DR)":[9],"technique":[10],"in":[11,32,73,136,163],"addressing":[12],"a":[13,118,152,200,234],"challenging":[14],"multi-temporal":[15,180],"hyperspectral":[16,181],"images":[17,167],"change":[18,155,228],"detection":[19],"(HSI-CD)":[20],"problem.":[21],"The":[22,70,105],"aim":[23],"of":[24,82,98,108,121,124,147,202,233],"this":[25,109],"work":[26],"is":[27,111,158,172],"analyze":[29],"and":[30,101,192,206,230],"evaluate":[31],"detail":[33],"the":[34,39,45,79,86,90,94,115,122,128,134,137,144,148,169,188,203,210,218,227],"CD":[35,66,161,215],"performance":[36,216],"by":[37,141,198],"selecting":[38,199],"most":[40,204],"informative":[41,205],"subset":[43,201],"from":[44],"original":[46,222],"high-dimensional":[47],"data":[48,57,149],"space.":[49],"In":[50],"particular,":[51],"for":[52,114,174],"cases":[53],"where":[54],"ground":[55],"reference":[56],"are":[58,68,75,184],"available":[59],"or":[60,64,150,165],"unavailable,":[61],"either":[62,140],"supervised":[63],"unsupervised":[65],"approaches":[67,212],"designed.":[69],"following":[71],"sub-problems":[72],"HSI-CD":[74,129],"investigated,":[76],"including:":[77],"(1)":[78],"estimated":[80,95],"number":[81,97],"multi-class":[83],"changes;":[84],"(2)":[85],"binary":[87],"CD;":[88,92],"(3)":[89],"multiple":[91],"(4)":[93],"optimal":[96],"selected":[99],"bands;":[100],"(5)":[102],"computational":[103],"efficiency.":[104],"main":[106],"contribution":[107],"provide":[113],"first":[116],"time":[117],"thorough":[119],"analysis":[120],"impacts":[123],"selection":[126],"on":[127],"problem,":[130],"thus":[131],"fix":[133],"gap":[135],"state-of-the-art":[138,219],"techniques":[139,220],"simply":[142],"utilizing":[143],"full":[145,223],"exploring":[151],"complex":[153],"hierarchical":[154],"analysis.":[156],"It":[157],"applicable":[159],"problems":[162],"multispectral":[164],"PolSAR":[166],"when":[168],"feature":[170,176],"space":[171],"expanded":[173],"discriminant":[175],"extraction.":[177],"Two":[178],"real":[179],"Hyperion":[182],"datasets":[183],"used":[185],"validate":[187],"proposed":[189,211],"approaches.":[190],"Quantitative":[191],"qualitative":[193],"experimental":[194],"results":[195],"demonstrated":[196],"that":[197],"distinct":[207],"spectral":[208],"bands,":[209,224],"offered":[213],"better":[214],"than":[217],"using":[221],"without":[225],"losing":[226],"representative":[229],"discriminable":[231],"capabilities":[232],"detector.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2017-10-06T00:00:00"}
