{"id":"https://openalex.org/W2852906053","doi":"https://doi.org/10.1007/978-3-319-96133-0_7","title":"An Efficient Two-Layer Classification Approach for Hyperspectral Images","display_name":"An Efficient Two-Layer Classification Approach for Hyperspectral Images","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2852906053","doi":"https://doi.org/10.1007/978-3-319-96133-0_7","mag":"2852906053"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-96133-0_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-96133-0_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5076463089","display_name":"Semih Din\u00e7","orcid":"https://orcid.org/0000-0002-6453-6774"},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Semih Dinc","raw_affiliation_strings":["Auburn University at Montgomery, Montgomery, AL, 36117, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University at Montgomery, Montgomery, AL, 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016852181","display_name":"Babak Rahbarinia","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Babak Rahbarinia","raw_affiliation_strings":["Auburn University at Montgomery, Montgomery, AL, 36117, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University at Montgomery, Montgomery, AL, 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075626979","display_name":"Luis Cueva\u2010Parra","orcid":null},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Cueva-Parra","raw_affiliation_strings":["Auburn University at Montgomery, Montgomery, AL, 36117, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University at Montgomery, Montgomery, AL, 36117, USA","institution_ids":["https://openalex.org/I902671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076463089"],"corresponding_institution_ids":["https://openalex.org/I902671590"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0419,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77405457,"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":"87","last_page":"102"},"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":0.9886999726295471,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9668999910354614,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9306648373603821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683850526809692},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7376576662063599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7106872797012329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6746392250061035},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6517168879508972},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5845460891723633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5104812383651733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3865131139755249}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9306648373603821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683850526809692},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7376576662063599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7106872797012329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6746392250061035},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6517168879508972},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5845460891723633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5104812383651733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3865131139755249},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-96133-0_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-96133-0_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W2013441453","https://openalex.org/W2017809836","https://openalex.org/W2026254555","https://openalex.org/W2029316659","https://openalex.org/W2036887984","https://openalex.org/W2068278288","https://openalex.org/W2090424610","https://openalex.org/W2097915756","https://openalex.org/W2117897510","https://openalex.org/W2124868070","https://openalex.org/W2132648706","https://openalex.org/W2150884987","https://openalex.org/W2166923144","https://openalex.org/W2487087946","https://openalex.org/W2518897583","https://openalex.org/W2594475271"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"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"}