{"id":"https://openalex.org/W2016825267","doi":"https://doi.org/10.1109/igarss.2013.6723243","title":"Simultaneous Band-weighting and Spectral Unmixing for Multiple Endmember Sets","display_name":"Simultaneous Band-weighting and Spectral Unmixing for Multiple Endmember Sets","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2016825267","doi":"https://doi.org/10.1109/igarss.2013.6723243","mag":"2016825267"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5059469409","display_name":"Piyush Khopkar","orcid":"https://orcid.org/0000-0002-5392-1570"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Piyush Khopkar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Missouri, Columbia, Missouri, USA","Dept. of Electr. & Comput. Eng, Univ. of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Missouri, Columbia, Missouri, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079676776","display_name":"Alina Zare","orcid":"https://orcid.org/0000-0002-4847-7604"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alina Zare","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Missouri, Columbia, Missouri, USA","Dept. of Electr. & Comput. Eng, Univ. of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Missouri, Columbia, Missouri, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059469409"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13169427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2164","last_page":"2167"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9950000047683716,"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":0.9939072728157043},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.910612940788269},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8934592008590698},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6628284454345703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6168864369392395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5477924346923828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4961589276790619},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4243961572647095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41613611578941345},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35793763399124146},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16317608952522278},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07934105396270752}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9939072728157043},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.910612940788269},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8934592008590698},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6628284454345703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6168864369392395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5477924346923828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4961589276790619},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4243961572647095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41613611578941345},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35793763399124146},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16317608952522278},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07934105396270752},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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":13,"referenced_works":["https://openalex.org/W2076332129","https://openalex.org/W2113076747","https://openalex.org/W2127523161","https://openalex.org/W2128873066","https://openalex.org/W2128990403","https://openalex.org/W2149458897","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2306710075","https://openalex.org/W4233760599","https://openalex.org/W6669661284","https://openalex.org/W6679333584","https://openalex.org/W7010180456"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2051769241"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,49,53],"SimUltaneous":[4],"Band-weighting":[5],"and":[6,26],"Spectral":[7],"Unmixing":[8],"for":[9,18],"Multiple":[10],"Endmember":[11],"Sets":[12],"(SUBSUME)":[13],"which":[14],"performs":[15],"endmember":[16],"extraction":[17],"multiple":[19],"sets":[20],"of":[21],"endmembers,":[22],"estimates":[23],"proportion":[24],"values,":[25],"assigns":[27],"partition-specific":[28],"band":[29,36],"weights":[30],"is":[31,41],"presented.":[32],"By":[33],"incorporating":[34],"simultaneous":[35],"weighting,":[37],"input":[38],"hyperspectral":[39,62],"data":[40],"partitioned":[42],"while":[43],"focusing":[44],"on":[45,59],"spectral":[46],"information":[47],"from":[48],"wavelengths":[50],"that":[51],"provide":[52],"smallest":[54],"error.":[55],"Results":[56],"are":[57],"shown":[58],"two":[60],"measured":[61],"images.":[63]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
