{"id":"https://openalex.org/W1994784561","doi":"https://doi.org/10.1109/igarss.2012.6350516","title":"Relevance of transformation techniques in rapid endmember identification and spectral unmixing: A hypespectral remote sensing perspective","display_name":"Relevance of transformation techniques in rapid endmember identification and spectral unmixing: A hypespectral remote sensing perspective","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1994784561","doi":"https://doi.org/10.1109/igarss.2012.6350516","mag":"1994784561"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6350516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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":"https://openalex.org/A5062142803","display_name":"Keshav D. Singh","orcid":"https://orcid.org/0000-0002-1319-9771"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Keshav Dev Singh","raw_affiliation_strings":["Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai, India","Department of Earth Sciences, Indian Institute of Technology (Bombay), Powai, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Earth Sciences, Indian Institute of Technology (Bombay), Powai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073107504","display_name":"D. Ramakrishnan","orcid":"https://orcid.org/0000-0002-8576-1612"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Desikan Ramakrishnan","raw_affiliation_strings":["Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai, India","Department of Earth Sciences, Indian Institute of Technology (Bombay), Powai, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Earth Sciences, Indian Institute of Technology (Bombay), Powai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067022794","display_name":"L. Mansinha","orcid":"https://orcid.org/0000-0001-7288-8019"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lalu Mansinha","raw_affiliation_strings":["Department of Earth Sciences, University of Western Ontario, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Sciences, University of Western Ontario, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7591,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90079017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4066","last_page":"4069"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.8250440359115601},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7025443911552429},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6807536482810974},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6053165793418884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5378619432449341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5073599219322205},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5000922679901123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45914411544799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4325900077819824},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41829565167427063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3621332347393036},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2279767096042633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1342964470386505}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.8250440359115601},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7025443911552429},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6807536482810974},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6053165793418884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5378619432449341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5073599219322205},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5000922679901123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45914411544799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4325900077819824},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41829565167427063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3621332347393036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2279767096042633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1342964470386505},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6350516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W100113138","https://openalex.org/W418551857","https://openalex.org/W1966798775","https://openalex.org/W1986754283","https://openalex.org/W1987142273","https://openalex.org/W2007221293","https://openalex.org/W2058145844","https://openalex.org/W2061593412","https://openalex.org/W2131020804","https://openalex.org/W2151047202","https://openalex.org/W2170533884","https://openalex.org/W2171992352","https://openalex.org/W2172063876","https://openalex.org/W2295820431","https://openalex.org/W2296319761","https://openalex.org/W4206460724","https://openalex.org/W4233760599","https://openalex.org/W4250589301","https://openalex.org/W6604047392"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2315521504","https://openalex.org/W2773863718"],"abstract_inverted_index":{"One":[0],"of":[1,16,29,55,146,155],"the":[2,14,27,66,90,109,140,153,178],"tedious":[3],"and":[4,49,68,78,111,123,137,144,165,180],"time":[5,143],"consuming":[6],"tasks":[7],"related":[8],"to":[9,88,135,151],"hyperspectral":[10],"data":[11],"analysis":[12],"is":[13,160],"identification":[15],"library":[17,56,69,175],"candidates":[18,70],"for":[19,58],"spectral":[20,60,63,124],"unmixing.":[21,61],"In":[22,133],"this":[23],"study,":[24],"we":[25],"evaluated":[26],"relevance":[28],"different":[30],"transformation":[31,157],"procedures":[32],"such":[33],"as":[34],"First":[35],"Derivative":[36],"(FD),":[37],"Fast":[38],"Fourier":[39],"Transform":[40,44,47],"(FFT),":[41],"Discrete":[42],"Wavelet":[43],"(DWT),":[45],"Hilbert-Huang":[46],"(HHT)":[48],"S-transform":[50],"(ST)":[51],"in":[52,172],"automated":[53],"retrieval":[54],"endmembers":[57,85,148,176],"linear":[59],"The":[62,106],"similarity":[64,125],"between":[65,108],"target":[67,110],"were":[71],"estimated":[72,127],"using":[73,128],"Pearson's":[74],"Correlation":[75],"Coefficient":[76],"(PCC)":[77],"student":[79],"t-test":[80],"based":[81,100,116,167,182],"approach.":[82,105],"Subsequently,":[83],"these":[84],"are":[86,149,169],"used":[87],"estimate":[89,152],"fractional":[91],"abundances":[92],"by":[93],"Fully":[94],"Constrained":[95],"Least":[96],"Square":[97],"Estimation":[98],"(FCLSE)":[99],"Quadratic":[101],"Programming":[102],"(QP)":[103],"optimization":[104],"match":[107],"modeled":[112],"spectrum":[113],"was":[114],"calculated":[115],"on":[117],"Root":[118],"Mean":[119],"Squared":[120],"Error":[121],"(RMSE)":[122],"scores":[126],"Spectral":[129],"Angle":[130],"Mapper":[131],"(SAM).":[132],"addition":[134],"RMSE":[136],"SAM":[138],"scores,":[139],"simulation":[141],"processing":[142],"appropriateness":[145],"identified":[147],"considered":[150],"effectiveness":[154],"each":[156],"procedure.":[158],"It":[159],"observed":[161],"that":[162],"DWT,":[163],"HHT":[164],"ST":[166],"approaches":[168],"more":[170],"efficient":[171],"identifying":[173],"correct":[174],"than":[177],"FD":[179],"FFT":[181],"approaches.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
