{"id":"https://openalex.org/W1483589200","doi":"https://doi.org/10.1109/lgrs.2015.2419629","title":"Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images","display_name":"Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images","publication_year":2015,"publication_date":"2015-05-07","ids":{"openalex":"https://openalex.org/W1483589200","doi":"https://doi.org/10.1109/lgrs.2015.2419629","mag":"1483589200"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2419629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2419629","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01259781","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058680339","display_name":"Gabriele Cavallaro","orcid":"https://orcid.org/0000-0002-3239-9904"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Gabriele Cavallaro","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050760333","display_name":"Mauro Dalla Mura","orcid":"https://orcid.org/0000-0002-9656-9087"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mauro Dalla Mura","raw_affiliation_strings":["GIPSA-lab, Grenoble Institute of Technology, Grenoble, France","[GIPSA-lab, Grenoble Institute of Technology, Grenoble, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIPSA-lab, Grenoble Institute of Technology, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"[GIPSA-lab, Grenoble Institute of Technology, Grenoble, France]","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Jon Atli Benediktsson","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"[Fac. of Electr. & Comput. Eng., Univ. of Iceland, Reykjavik, Iceland]","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information and Communication Technologies, University of Trento, Trento, Italy","Department of Information and Communication Technology, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technologies, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Department of Information and Communication Technology, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8491,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97392745,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":"8","first_page":"1690","last_page":"1694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9842000007629395,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9561147689819336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7464417815208435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685356616973877},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6804088354110718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.656462550163269},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6280120611190796},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6209590435028076},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5051248669624329},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5014955997467041},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4844117760658264},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45196422934532166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35683465003967285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2354179322719574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11654642224311829}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9561147689819336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7464417815208435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685356616973877},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6804088354110718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.656462550163269},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6280120611190796},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6209590435028076},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5051248669624329},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5014955997467041},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4844117760658264},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45196422934532166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35683465003967285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2354179322719574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11654642224311829},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2015.2419629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2419629","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01259781v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01259781","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2015, 12 (8), pp.1690-1694. ⟨10.1109/LGRS.2015.2419629⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unitn.it:11572/114631","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/7103273","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01259781v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01259781","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2015, 12 (8), pp.1690-1694. ⟨10.1109/LGRS.2015.2419629⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W113355003","https://openalex.org/W1489042383","https://openalex.org/W1593939129","https://openalex.org/W1967299951","https://openalex.org/W1975610128","https://openalex.org/W2005672614","https://openalex.org/W2041227601","https://openalex.org/W2044439250","https://openalex.org/W2083541351","https://openalex.org/W2093555426","https://openalex.org/W2098057602","https://openalex.org/W2118796925","https://openalex.org/W2127199143","https://openalex.org/W2138875721","https://openalex.org/W2150230478","https://openalex.org/W2154952114","https://openalex.org/W2157691228","https://openalex.org/W2159070926","https://openalex.org/W2159498975","https://openalex.org/W2164741953"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"explore":[4],"the":[5,13,42,48,52,65,95],"use":[6],"of":[7,15,26,47,63,79,108],"self-dual":[8],"attribute":[9],"profiles":[10],"(SDAPs)":[11],"for":[12],"classification":[14],"hyperspectral":[16,19,92],"images.":[17],"The":[18,85,106],"data":[20],"are":[21,82,87,102],"reduced":[22],"into":[23],"a":[24,35,60,69,76],"set":[25],"components":[27],"by":[28,41,56,112,119],"nonparametric":[29],"weighted":[30],"feature":[31],"extraction":[32],"(NWFE),":[33],"and":[34,94,99],"morphological":[36],"processing":[37],"is":[38,67,110],"then":[39],"performed":[40],"SDAPs":[43,57,109],"separately":[44],"on":[45,90,123],"each":[46],"extracted":[49,55],"components.":[50],"Since":[51],"spatial":[53],"information":[54],"results":[58,115],"in":[59,72],"high":[61],"number":[62,78],"features,":[64,80],"NWFE":[66],"applied":[68],"second":[70],"time":[71],"order":[73],"to":[74],"extract":[75],"fixed":[77],"which":[81],"finally":[83],"classified.":[84],"experiments":[86],"carried":[88],"out":[89],"two":[91],"images,":[93],"support":[96],"vector":[97],"machines":[98],"random":[100],"forest":[101],"used":[103],"as":[104],"classifiers.":[105],"effectiveness":[107],"assessed":[111],"comparing":[113],"its":[114],"against":[116],"those":[117],"obtained":[118],"an":[120],"approach":[121],"based":[122],"extended":[124],"APs.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}