{"id":"https://openalex.org/W3097053351","doi":"https://doi.org/10.3390/jimaging6110114","title":"Ensemble of ERDTs for Spectral\u2013Spatial Classification of Hyperspectral Images Using MRS Object-Guided Morphological Profiles","display_name":"Ensemble of ERDTs for Spectral\u2013Spatial Classification of Hyperspectral Images Using MRS Object-Guided Morphological Profiles","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3097053351","doi":"https://doi.org/10.3390/jimaging6110114","mag":"3097053351","pmid":"https://pubmed.ncbi.nlm.nih.gov/34460558"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging6110114","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging6110114","pdf_url":"https://www.mdpi.com/2313-433X/6/11/114/pdf?version=1603706964","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/6/11/114/pdf?version=1603706964","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089631478","display_name":"Alim Samat","orcid":"https://orcid.org/0000-0002-9091-6033"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101675","display_name":"Research Center for Ecology and Environment of Central Asia","ror":"https://ror.org/00q2dta10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101675","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Alim Samat","raw_affiliation_strings":["Research Center for Ecology and Environment of Central Asia, CAS, Urumqi 830011, China","State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0002-9091-6033","affiliations":[{"raw_affiliation_string":"Research Center for Ecology and Environment of Central Asia, CAS, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210101675"]},{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042696867","display_name":"Erzhu Li","orcid":"https://orcid.org/0000-0002-5881-618X"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erzhu Li","raw_affiliation_strings":["Department of Geographical Information Science, Jiangsu Normal University, Xuzhou 221100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Jiangsu Normal University, Xuzhou 221100, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684827","display_name":"Sicong Liu","orcid":"https://orcid.org/0000-0003-1612-4844"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicong Liu","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China"],"raw_orcid":"https://orcid.org/0000-0003-1612-4844","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376464","display_name":"Zelang Miao","orcid":"https://orcid.org/0000-0002-1499-2288"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zelang Miao","raw_affiliation_strings":["School of Geosciences &amp; Info-Physics, Central South University, Changsha 410012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences &amp; Info-Physics, Central South University, Changsha 410012, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726417","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-1813-0551"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-1813-0551","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5089631478"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101675","https://openalex.org/I4210103115","https://openalex.org/I4210165038"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.2229,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60036995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"11","first_page":"114","last_page":"114"},"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":0.9943000078201294,"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":0.9639000296592712,"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":0.8578302264213562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7798103094100952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7452173233032227},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7313472032546997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6782559752464294},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4972064793109894},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45433786511421204},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45311295986175537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4058423936367035},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24698925018310547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24500775337219238}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8578302264213562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7798103094100952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7452173233032227},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7313472032546997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782559752464294},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4972064793109894},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45433786511421204},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45311295986175537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4058423936367035},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24698925018310547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24500775337219238}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging6110114","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging6110114","pdf_url":"https://www.mdpi.com/2313-433X/6/11/114/pdf?version=1603706964","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:34460558","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34460558","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:50fee56603814c5dbc7f985f23185371","is_oa":true,"landing_page_url":"https://doaj.org/article/50fee56603814c5dbc7f985f23185371","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 6, Iss 11, p 114 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8321183","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8321183","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging6110114","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging6110114","pdf_url":"https://www.mdpi.com/2313-433X/6/11/114/pdf?version=1603706964","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2049544090","display_name":null,"funder_award_id":"41601440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2071230132","display_name":null,"funder_award_id":"2016-QNXZ-B-11","funder_id":"https://openalex.org/F4320328015","funder_display_name":"West Light Foundation of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328015","display_name":"West Light Foundation of the Chinese Academy of Sciences","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3097053351.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W580436995","https://openalex.org/W1540007258","https://openalex.org/W1965309615","https://openalex.org/W1971891445","https://openalex.org/W1996061706","https://openalex.org/W2001298023","https://openalex.org/W2011500029","https://openalex.org/W2031510368","https://openalex.org/W2039609561","https://openalex.org/W2052160904","https://openalex.org/W2056132907","https://openalex.org/W2063907334","https://openalex.org/W2090424610","https://openalex.org/W2096553553","https://openalex.org/W2102219056","https://openalex.org/W2107966405","https://openalex.org/W2114819256","https://openalex.org/W2123717994","https://openalex.org/W2124189704","https://openalex.org/W2130627644","https://openalex.org/W2131697388","https://openalex.org/W2131725398","https://openalex.org/W2144966944","https://openalex.org/W2145862305","https://openalex.org/W2158400785","https://openalex.org/W2159070926","https://openalex.org/W2164437025","https://openalex.org/W2166229804","https://openalex.org/W2166923144","https://openalex.org/W2167373005","https://openalex.org/W2184241488","https://openalex.org/W2314785379","https://openalex.org/W2345128667","https://openalex.org/W2469794075","https://openalex.org/W2470802587","https://openalex.org/W2626498975","https://openalex.org/W2648242067","https://openalex.org/W2764276316","https://openalex.org/W2803057685","https://openalex.org/W2969325156","https://openalex.org/W3097170121","https://openalex.org/W4212883601","https://openalex.org/W6686056115"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"In":[0],"spectral-spatial":[1,97],"classification":[2,98,116],"of":[3,9,18,37,52,84,99,115,124],"hyperspectral":[4,100,103],"image":[5],"tasks,":[6],"the":[7,33,50,74,85,110,122,125],"performance":[8],"conventional":[10],"morphological":[11,54,66],"profiles":[12,55],"(MPs)":[13],"that":[14],"use":[15,51],"a":[16],"sequence":[17],"structural":[19],"elements":[20],"(SEs)":[21],"with":[22],"predefined":[23],"sizes":[24,34],"and":[25,35,68,80,93,130],"shapes":[26,36],"could":[27],"be":[28],"limited":[29],"by":[30,57,70],"mismatching":[31],"all":[32],"real-world":[38],"objects":[39,62],"in":[40,113],"an":[41],"image.":[42],"To":[43],"overcome":[44],"such":[45],"limitation,":[46],"this":[47],"paper":[48],"proposes":[49],"object-guided":[53],"(OMPs)":[56],"adopting":[58],"multiresolution":[59],"segmentation":[60],"(MRS)-based":[61],"as":[63],"SEs":[64],"for":[65,96],"closing":[67],"opening":[69],"geodesic":[71],"reconstruction.":[72],"Additionally,":[73],"ExtraTrees,":[75],"bagging,":[76],"adaptive":[77],"boosting":[78],"(AdaBoost),":[79],"MultiBoost":[81],"ensemble":[82,131],"versions":[83],"extremely":[86],"randomized":[87],"decision":[88],"trees":[89],"(ERDTs)":[90],"are":[91,106],"introduced":[92],"comparatively":[94],"investigated":[95],"images.":[101],"Two":[102],"benchmark":[104],"images":[105],"used":[107],"to":[108],"validate":[109],"proposed":[111,126],"approaches":[112],"terms":[114],"accuracy.":[117],"The":[118],"experimental":[119],"results":[120],"confirm":[121],"effectiveness":[123],"spatial":[127],"feature":[128],"extractors":[129],"classifiers.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
