{"id":"https://openalex.org/W2547547136","doi":"https://doi.org/10.1109/igarss.2016.7730336","title":"Spectral-spatial Rotation Forest for hyperspectral image classification","display_name":"Spectral-spatial Rotation Forest for hyperspectral image classification","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547547136","doi":"https://doi.org/10.1109/igarss.2016.7730336","mag":"2547547136"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01379973","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000395252","display_name":"Junshi Xia","orcid":"https://orcid.org/0000-0002-5586-6536"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Junshi Xia","raw_affiliation_strings":["CNRS, Universit\u00e9 de Bordeaux, Talence, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037554238","display_name":"Lionel Bombrun","orcid":"https://orcid.org/0000-0001-9036-3988"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Bombrun","raw_affiliation_strings":["CNRS, Universit\u00e9 de Bordeaux, Talence, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042761955","display_name":"Yannick Berthoumieu","orcid":"https://orcid.org/0000-0002-7559-0602"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Berthoumieu","raw_affiliation_strings":["CNRS, Universit\u00e9 de Bordeaux, Talence, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084906943","display_name":"Christian Germain","orcid":"https://orcid.org/0000-0002-3097-8283"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian Germain","raw_affiliation_strings":["CNRS, Universit\u00e9 de Bordeaux, Talence, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Mapping and Geoinformation of China, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping and Geoinformation of China, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210141849","https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"5126","last_page":"5129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9891999959945679,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9309394359588623},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.741653323173523},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6608045101165771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6600448489189148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488052010536194},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.6134403347969055},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5866149067878723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5070099830627441},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4943263530731201},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4716799855232239},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4604623317718506},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.42887985706329346},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4205438196659088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4030289053916931},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.16940921545028687},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14998844265937805},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12400245666503906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08231556415557861}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9309394359588623},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.741653323173523},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6608045101165771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6600448489189148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488052010536194},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.6134403347969055},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5866149067878723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5070099830627441},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4943263530731201},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4716799855232239},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4604623317718506},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.42887985706329346},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4205438196659088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4030289053916931},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.16940921545028687},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14998844265937805},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12400245666503906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08231556415557861},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2016.7730336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01379973v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01379973","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 International Geosicence and Remote Sensing Symposium (IGARSS 2016), Jul 2016, P\u00e9kin, China","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01379973v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01379973","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 International Geosicence and Remote Sensing Symposium (IGARSS 2016), Jul 2016, P\u00e9kin, China","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W146867097","https://openalex.org/W1683156614","https://openalex.org/W1983044509","https://openalex.org/W1996061706","https://openalex.org/W2004754531","https://openalex.org/W2036389990","https://openalex.org/W2053852479","https://openalex.org/W2072187267","https://openalex.org/W2109531142","https://openalex.org/W2130627644","https://openalex.org/W2150757437","https://openalex.org/W2165491713","https://openalex.org/W2212636544","https://openalex.org/W2487087946","https://openalex.org/W3014771378","https://openalex.org/W6676189307"],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2911259277","https://openalex.org/W4386427838","https://openalex.org/W2171464537","https://openalex.org/W2119473622","https://openalex.org/W2138540356","https://openalex.org/W2799746630","https://openalex.org/W2561005839","https://openalex.org/W2000725643","https://openalex.org/W1529476013"],"abstract_inverted_index":{"Rotation":[0,58],"Forest":[1,59],"(RoF)":[2],"is":[3,64],"a":[4,56,68],"decision":[5],"tree":[6],"ensemble":[7],"classifier,":[8],"which":[9],"uses":[10],"random":[11],"feature":[12],"selection":[13],"and":[14,23,53],"data":[15,32,49],"transformation":[16,33,50],"techniques":[17],"to":[18,39],"improve":[19,41],"both":[20],"the":[21,42,75,86],"diversity":[22],"accuracy":[24],"of":[25,44],"base":[26],"classifiers.":[27],"Traditional":[28],"RoF":[29,52],"only":[30],"considers":[31],"on":[34,67],"spectral":[35],"information.":[36],"In":[37],"order":[38],"further":[40],"performance":[43],"RoF,":[45],"we":[46],"introduce":[47],"spectral-spatial":[48,57],"into":[51],"thus":[54],"propose":[55],"(SSRoF).":[60],"The":[61],"proposed":[62,87],"method":[63],"experimentally":[65],"investigated":[66],"hyperspectral":[69],"remote":[70],"sensing":[71],"image":[72],"collected":[73],"by":[74],"Airborne":[76],"Visible/Infrared":[77],"Imaging":[78],"Spectrometer":[79],"(AVIRIS)":[80],"sensor.":[81],"Experimental":[82],"results":[83],"indicate":[84],"that":[85],"methodology":[88],"achieves":[89],"excellent":[90],"performance.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}