{"id":"https://openalex.org/W2765192566","doi":"https://doi.org/10.1109/whispers.2014.8077502","title":"Geometric matched filter for hyperspectral partial unmixing","display_name":"Geometric matched filter for hyperspectral partial unmixing","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2765192566","doi":"https://doi.org/10.1109/whispers.2014.8077502","mag":"2765192566"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077502","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/A5113841598","display_name":"Muhammad Awais Akhter","orcid":null},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Muhammad Awais Akhter","raw_affiliation_strings":["iMinds-Vision Lab, University of Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"iMinds-Vision Lab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048918209","display_name":"Rob Heylen","orcid":"https://orcid.org/0000-0002-8341-9397"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rob Heylen","raw_affiliation_strings":["iMinds-Vision Lab, University of Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"iMinds-Vision Lab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009310543","display_name":"Paul Scheunders","orcid":"https://orcid.org/0000-0003-2447-4772"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paul Scheunders","raw_affiliation_strings":["iMinds-Vision Lab, University of Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"iMinds-Vision Lab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113841598"],"corresponding_institution_ids":["https://openalex.org/I149213910","https://openalex.org/I39327780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4611396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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":0.9962999820709229,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8770523071289062},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7902348041534424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7215315103530884},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6900087594985962},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.6321499943733215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6272196769714355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5848351120948792},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.5598470568656921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5270453095436096},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4964047074317932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4152586758136749}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8770523071289062},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7902348041534424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7215315103530884},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6900087594985962},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.6321499943733215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6272196769714355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5848351120948792},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.5598470568656921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5270453095436096},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4964047074317932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4152586758136749},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2014.8077502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077502","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1582058549","https://openalex.org/W2113399154","https://openalex.org/W2113753426","https://openalex.org/W2115366158","https://openalex.org/W2117741752","https://openalex.org/W2127062304","https://openalex.org/W2146954653","https://openalex.org/W2147120321","https://openalex.org/W2163886442","https://openalex.org/W2171521847","https://openalex.org/W3148044822","https://openalex.org/W6634825034"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2076134148","https://openalex.org/W2095343758","https://openalex.org/W2053185644","https://openalex.org/W2166955423","https://openalex.org/W2086499568","https://openalex.org/W4243646344","https://openalex.org/W2386237849"],"abstract_inverted_index":{"In":[0,50,132],"this":[1],"paper,":[2],"a":[3,30,46,76],"new":[4],"geometric":[5],"matched":[6,14,52,143],"filter":[7,55,98],"is":[8,26,36,56,73,86,138],"presented":[9,94,136],"by":[10,122],"combining":[11],"the":[12,24,39,54,60,64,71,84,90,97,101,109,119,123,130,133,135],"standard":[13,51,142],"filtering":[15,144],"with":[16],"concepts":[17],"of":[18,23,29,42,63,79,103,129],"convex":[19],"geometry.":[20],"The":[21,93],"purpose":[22],"method":[25,95,137],"partial":[27,146],"unmixing":[28],"hyperspectral":[31],"image,":[32,66],"where":[33],"an":[34],"estimate":[35],"given":[37],"for":[38,145],"relative":[40],"contribution":[41],"each":[43],"pixel":[44],"to":[45,140],"specific":[47],"target":[48,72,85,110,124],"spectrum.":[49,111],"filtering,":[53],"designed":[57],"based":[58,99,117],"on":[59,100,118],"background":[61,113],"statistics":[62,102],"entire":[65],"which":[67],"works":[68],"fine":[69],"when":[70,83],"contained":[74],"in":[75],"limited":[77],"number":[78],"pixels,":[80],"but":[81],"fails":[82],"abundantly":[87],"present":[88],"throughout":[89],"whole":[91],"image.":[92],"calculates":[96],"pixels":[104,114],"that":[105],"do":[106],"not":[107],"contain":[108],"These":[112],"are":[115],"identified":[116],"simplex":[120],"formed":[121],"and":[125],"other":[126],"relevant":[127],"endmembers":[128],"dataset.":[131],"experiments,":[134],"shown":[139],"outperform":[141],"unmixing.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}