{"id":"https://openalex.org/W2729151341","doi":"https://doi.org/10.1109/whispers.2016.8071762","title":"Morpho-spectral objects classification by hyperspectral airborne imagery","display_name":"Morpho-spectral objects classification by hyperspectral airborne imagery","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2729151341","doi":"https://doi.org/10.1109/whispers.2016.8071762","mag":"2729151341"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"preprint","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/A5071780877","display_name":"S\u00e9bastien Gadal","orcid":"https://orcid.org/0000-0002-6472-9955"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210099576","display_name":"Laboratoire M\u00e9diterran\u00e9en de Pr\u00e9histoire Europe Afrique","ror":"https://ror.org/011gea244","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I2802818602","https://openalex.org/I4210099576","https://openalex.org/I4210102700","https://openalex.org/I4210107625"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"S. Gadal","raw_affiliation_strings":["CNRS ESPACE UMR 7300, Europ\u00f4le m\u00e9diterran\u00e9en de l'Arbois - BP80 \u2212 13545, Aix-en-Provence, France"],"affiliations":[{"raw_affiliation_string":"CNRS ESPACE UMR 7300, Europ\u00f4le m\u00e9diterran\u00e9en de l'Arbois - BP80 \u2212 13545, Aix-en-Provence, France","institution_ids":["https://openalex.org/I4210099576","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010603928","display_name":"Walid Ouerghemmi","orcid":"https://orcid.org/0000-0002-2119-7290"},"institutions":[{"id":"https://openalex.org/I4210099576","display_name":"Laboratoire M\u00e9diterran\u00e9en de Pr\u00e9histoire Europe Afrique","ror":"https://ror.org/011gea244","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I2802818602","https://openalex.org/I4210099576","https://openalex.org/I4210102700","https://openalex.org/I4210107625"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"W. Ouerghemmi","raw_affiliation_strings":["CNRS ESPACE UMR 7300, Europ\u00f4le m\u00e9diterran\u00e9en de l'Arbois - BP80 \u2212 13545, Aix-en-Provence, France"],"affiliations":[{"raw_affiliation_string":"CNRS ESPACE UMR 7300, Europ\u00f4le m\u00e9diterran\u00e9en de l'Arbois - BP80 \u2212 13545, Aix-en-Provence, France","institution_ids":["https://openalex.org/I4210099576","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071780877"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210099576"],"apc_list":null,"apc_paid":null,"fwci":1.7669,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90186358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9732999801635742,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9569868445396423},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7307605147361755},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.5944898724555969},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5787474513053894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5365270376205444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5206403136253357},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.494872510433197},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4687390923500061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4316660761833191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252641797065735},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3276655972003937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2554129362106323}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9569868445396423},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7307605147361755},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5944898724555969},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5787474513053894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5365270376205444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206403136253357},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.494872510433197},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4687390923500061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4316660761833191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252641797065735},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3276655972003937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2554129362106323},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2016.8071762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01359702v1","is_oa":false,"landing_page_url":"https://amu.hal.science/hal-01359702","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th Workshop in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, pp.349-353, 2016","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1590218343","https://openalex.org/W1671236359","https://openalex.org/W2010319424","https://openalex.org/W2059114617","https://openalex.org/W2062930929","https://openalex.org/W2111560151","https://openalex.org/W2124503034","https://openalex.org/W2133059825","https://openalex.org/W2142013466","https://openalex.org/W2160886094","https://openalex.org/W2168997446","https://openalex.org/W2174835190","https://openalex.org/W2499682827","https://openalex.org/W6635402834","https://openalex.org/W6685578118"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2391021239","https://openalex.org/W2560525382","https://openalex.org/W2126575155"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"hyperspectral":[6],"imaging;":[7,23],"geophysical":[8],"image":[9,13],"processing;":[10],"remote":[11],"sensing;":[12],"classification;":[14],"feature":[15],"extraction;":[16],"learning":[17],"(artificial":[18],"intelligence);":[19],"spectral":[20],"analysis;":[21],"infrared":[22],"vegetation;":[24],"minerals.":[25]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
