{"id":"https://openalex.org/W2138418872","doi":"https://doi.org/10.1109/whispers.2009.5289024","title":"On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison","display_name":"On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2138418872","doi":"https://doi.org/10.1109/whispers.2009.5289024","mag":"2138418872"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Plaza","raw_affiliation_strings":["Department of Computer Science, University of Extremadura, Caceres, Spain","Department of Computer Science, University of Extremadura, E-10071 C\u00e1ceres, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Department of Computer Science, University of Extremadura, E-10071 C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049054067","display_name":"Gabriel Mart\u00edn","orcid":"https://orcid.org/0000-0001-8496-6459"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G. Martin","raw_affiliation_strings":["Department of Computer Science, University of Extremadura, Caceres, Spain","Department of Computer Science, University of Extremadura, E-10071 C\u00e1ceres, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Department of Computer Science, University of Extremadura, E-10071 C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061659921","display_name":"Maciel Zortea","orcid":"https://orcid.org/0000-0002-9758-5273"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"M. Zortea","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Troms\u00f8, Tromso, Norway","Department of Mathematics and Statistics, University of Troms\u00f8, N-9037, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Troms\u00f8, Tromso, Norway","institution_ids":["https://openalex.org/I78037679"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Troms\u00f8, N-9037, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5971,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93909113,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9936057329177856},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9712528586387634},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.694729208946228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028296947479248},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5570404529571533},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5470796227455139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244108438491821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49098971486091614},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49015912413597107},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4686310291290283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37692791223526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3475581109523773},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.22613531351089478},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1900760531425476}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9936057329177856},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9712528586387634},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.694729208946228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028296947479248},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5570404529571533},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5470796227455139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244108438491821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49098971486091614},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49015912413597107},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4686310291290283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37692791223526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3475581109523773},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.22613531351089478},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1900760531425476},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/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/whispers.2009.5289024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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":12,"referenced_works":["https://openalex.org/W1532610010","https://openalex.org/W1966798775","https://openalex.org/W2021755911","https://openalex.org/W2102159812","https://openalex.org/W2106777458","https://openalex.org/W2107222994","https://openalex.org/W2114486983","https://openalex.org/W2117741752","https://openalex.org/W2128090514","https://openalex.org/W2156220628","https://openalex.org/W2157321686","https://openalex.org/W4248253651"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Several":[0],"well-known":[1],"algorithms":[2,72],"have":[3],"been":[4],"used":[5],"for":[6,96],"endmember":[7,45,65],"extraction":[8,46,66],"and":[9,47,67,115],"spectral":[10,19,48,78,92],"unmixing":[11,49],"of":[12,21,38,44,61,74,86],"hyperspectral":[13,107,118],"imagery":[14],"by":[15,121],"considering":[16],"only":[17,76,91],"the":[18,22,26,35,39,42,59,84],"properties":[20],"data":[23,40],"when":[24,94],"conducting":[25],"search.":[27],"However,":[28],"it":[29],"might":[30],"be":[31],"beneficial":[32],"to":[33,82],"incorporate":[34],"spatial":[36,62,110],"arrangement":[37],"in":[41,64,80],"development":[43],"algorithms.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"provide":[55],"a":[56,105,116],"survey":[57],"on":[58],"use":[60,77],"information":[63,89,93],"further":[68],"compare":[69],"six":[70],"different":[71],"(three":[73],"which":[75],"information)":[79],"order":[81],"substantiate":[83],"impact":[85],"using":[87,104,113],"spatial-spectral":[88],"versus":[90],"searching":[95],"image":[97],"endmembers.":[98],"The":[99],"comparison":[100],"is":[101],"carried":[102],"out":[103],"synthetic":[106],"scene":[108,119],"with":[109],"patterns":[111],"generated":[112],"fractals,":[114],"real":[117],"collected":[120],"NASA's":[122],"airborne":[123],"visible":[124],"infra-red":[125],"imaging":[126],"spectrometer":[127],"(AVIRIS).":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
