{"id":"https://openalex.org/W2773863718","doi":"https://doi.org/10.1109/igarss.2017.8126928","title":"On the direct assessment of endmember fractions in hyperspectral images","display_name":"On the direct assessment of endmember fractions in hyperspectral images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2773863718","doi":"https://doi.org/10.1109/igarss.2017.8126928","mag":"2773863718"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8126928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5083495404","display_name":"Andrea Marinoni","orcid":"https://orcid.org/0000-0001-6789-0915"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Marinoni","raw_affiliation_strings":["Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Gamba","raw_affiliation_strings":["Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083495404"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":null,"apc_paid":null,"fwci":0.4708,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72188317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"200"},"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":0.9959999918937683,"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":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9866027235984802},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9795225262641907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6357338428497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489887595176697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.522192656993866},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.5190997123718262},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40338805317878723},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17210188508033752}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9866027235984802},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9795225262641907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6357338428497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489887595176697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.522192656993866},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.5190997123718262},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40338805317878723},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17210188508033752}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8126928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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":11,"referenced_works":["https://openalex.org/W1856317893","https://openalex.org/W1963659868","https://openalex.org/W2025114133","https://openalex.org/W2028967512","https://openalex.org/W2034268775","https://openalex.org/W2059683211","https://openalex.org/W2062523101","https://openalex.org/W2081867871","https://openalex.org/W2153245297","https://openalex.org/W2296319761","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W2791078257","https://openalex.org/W2099703033","https://openalex.org/W2798328034","https://openalex.org/W2728548987","https://openalex.org/W4399039556","https://openalex.org/W2890371384","https://openalex.org/W2127934268","https://openalex.org/W2120480074","https://openalex.org/W2039721451"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1],"frameworks":[2],"are":[3],"ultimately":[4],"designed":[5],"to":[6,66],"understand":[7],"and":[8,69],"quantify":[9],"the":[10,20,54,61],"actual":[11],"distribution":[12],"of":[13,22,35,53,72],"endmembers":[14,55],"in":[15,29,75],"a":[16,43],"given":[17],"scene.":[18],"Assessing":[19],"percentage":[21],"each":[23],"material":[24],"is":[25,64],"typically":[26],"cumbersome,":[27],"especially":[28],"images":[30],"characterized":[31],"by":[32],"complex":[33],"combinations":[34],"spectral":[36],"signatures.":[37],"In":[38],"this":[39],"work,":[40],"we":[41],"present":[42],"nonlinear":[44],"programming":[45],"scheme":[46],"that":[47,60],"aims":[48],"at":[49],"providing":[50],"direct":[51],"estimation":[52],"fractions.":[56],"Experimental":[57],"results":[58],"show":[59],"proposed":[62],"method":[63],"able":[65],"deliver":[67],"accurate":[68],"reliable":[70],"estimates":[71],"these":[73],"quantities":[74],"hyperspectral":[76],"images.":[77]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
