{"id":"https://openalex.org/W2765743903","doi":"https://doi.org/10.1109/whispers.2014.8077497","title":"Recursive orthogonal vector projection algorithm for linear spectral unmixing","display_name":"Recursive orthogonal vector projection algorithm for linear spectral unmixing","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2765743903","doi":"https://doi.org/10.1109/whispers.2014.8077497","mag":"2765743903"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (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/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meiping Song","raw_affiliation_strings":["Information and Technology College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Information and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411270","display_name":"Yao Li","orcid":"https://orcid.org/0000-0003-2986-8789"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Li","raw_affiliation_strings":["Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101405735"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.9157,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82382522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.9941999912261963,"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":0.9908999800682068,"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/endmember","display_name":"Endmember","score":0.8113729357719421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6476391553878784},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.5930167436599731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785965323448181},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.537803590297699},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5218376517295837},{"id":"https://openalex.org/keywords/orthonormality","display_name":"Orthonormality","score":0.505713701248169},{"id":"https://openalex.org/keywords/vector-projection","display_name":"Vector projection","score":0.5031566023826599},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.4978334903717041},{"id":"https://openalex.org/keywords/outer-product","display_name":"Outer product","score":0.4859298765659332},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.47879037261009216},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41609489917755127},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.41247400641441345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30242469906806946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27866092324256897},{"id":"https://openalex.org/keywords/orthonormal-basis","display_name":"Orthonormal basis","score":0.27643582224845886},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2415255606174469}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.8113729357719421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6476391553878784},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.5930167436599731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785965323448181},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.537803590297699},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5218376517295837},{"id":"https://openalex.org/C92951342","wikidata":"https://www.wikidata.org/wiki/Q1411166","display_name":"Orthonormality","level":3,"score":0.505713701248169},{"id":"https://openalex.org/C45354692","wikidata":"https://www.wikidata.org/wiki/Q2734388","display_name":"Vector projection","level":2,"score":0.5031566023826599},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.4978334903717041},{"id":"https://openalex.org/C180623205","wikidata":"https://www.wikidata.org/wiki/Q1268589","display_name":"Outer product","level":3,"score":0.4859298765659332},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47879037261009216},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41609489917755127},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.41247400641441345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30242469906806946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27866092324256897},{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.27643582224845886},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2415255606174469},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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/whispers.2014.8077497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":7,"referenced_works":["https://openalex.org/W2077029514","https://openalex.org/W2099301440","https://openalex.org/W2109533493","https://openalex.org/W2117741752","https://openalex.org/W3195212285","https://openalex.org/W4248253651","https://openalex.org/W6669829743"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2342533270","https://openalex.org/W3037306899","https://openalex.org/W2394258921","https://openalex.org/W2772759470","https://openalex.org/W2903571773","https://openalex.org/W2977394652","https://openalex.org/W2036350105","https://openalex.org/W384996148","https://openalex.org/W2765743903"],"abstract_inverted_index":{"Orthogonal":[0],"vector":[1,40,74,76],"projection":[2],"(OVP)":[3],"is":[4,35,91,100],"recently":[5],"developed":[6],"as":[7,21,109],"a":[8,57,84],"versatile":[9],"technique":[10],"which":[11],"can":[12,71],"used":[13],"in":[14,17,113],"various":[15],"application":[16],"hyperspectral":[18],"imaging":[19],"such":[20,108],"subpixel":[22],"detection,":[23],"linear":[24],"spectral":[25],"unmixing":[26],"and":[27,50],"endmember":[28],"finding.":[29],"A":[30],"great":[31],"advantage":[32],"of":[33,39,47,60,89],"OVP":[34,66,70],"that":[36,69],"only":[37],"calculations":[38],"products":[41],"are":[42],"required":[43],"with":[44],"no":[45],"need":[46],"matrix":[48],"multiplications":[49],"inverse":[51],"calculations.":[52],"Furthermore,":[53,97],"this":[54],"paper":[55],"develops":[56],"recursive":[58,65],"version":[59],"OVP,":[61],"to":[62,103,106],"be":[63,72,104],"called":[64],"(ROVP)":[67],"so":[68],"performed":[73],"by":[75],"recursively":[77],"without":[78],"using":[79],"previously":[80],"processed":[81],"vectors.":[82],"As":[83],"result,":[85],"the":[86,98,114],"computational":[87],"complexity":[88],"ROVP":[90,99],"much":[92,101],"lower":[93],"than":[94],"other":[95],"algorithms.":[96],"easier":[102],"applied":[105],"hardware":[107],"FPGA":[110],"or":[111],"GPU":[112],"future.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
