{"id":"https://openalex.org/W2621196356","doi":"https://doi.org/10.1007/s10586-017-0950-0","title":"Spectral-spatial multi-feature classification of remote sensing big data based on a random forest classifier for land cover mapping","display_name":"Spectral-spatial multi-feature classification of remote sensing big data based on a random forest classifier for land cover mapping","publication_year":2017,"publication_date":"2017-06-03","ids":{"openalex":"https://openalex.org/W2621196356","doi":"https://doi.org/10.1007/s10586-017-0950-0","mag":"2621196356"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-017-0950-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-017-0950-0","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","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/A5018224428","display_name":"X. M. Zhang","orcid":"https://orcid.org/0000-0002-1270-5409"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"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":"X. M. Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","University of Chinese Academy of Sciences, Beijing, 100049, China"],"raw_orcid":"https://orcid.org/0000-0002-1270-5409","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"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/A5048350041","display_name":"Guojin He","orcid":"https://orcid.org/0000-0001-7225-7276"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"G. J. He","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073781773","display_name":"Zikun Zhang","orcid":null},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Z. M. Zhang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078833021","display_name":"Yan Peng","orcid":"https://orcid.org/0000-0002-1115-2443"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Peng","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112970588","display_name":"Tengfei Long","orcid":"https://orcid.org/0000-0003-3572-4415"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"T. F. Long","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048350041"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":4.7764,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.95459984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"2311","last_page":"2321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.769264817237854},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7476654648780823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245165705680847},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5898130536079407},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.5296779870986938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5118514895439148},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47545453906059265},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4611831307411194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37109434604644775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3493155241012573},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2922219932079315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1360473930835724},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10860463976860046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10256022214889526}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.769264817237854},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7476654648780823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245165705680847},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5898130536079407},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.5296779870986938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5118514895439148},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47545453906059265},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4611831307411194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37109434604644775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3493155241012573},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2922219932079315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1360473930835724},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10860463976860046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10256022214889526},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-017-0950-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-017-0950-0","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"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":47,"referenced_works":["https://openalex.org/W197907523","https://openalex.org/W561088580","https://openalex.org/W1455062706","https://openalex.org/W1605688901","https://openalex.org/W1662323679","https://openalex.org/W1964416421","https://openalex.org/W1968973101","https://openalex.org/W1990653740","https://openalex.org/W1994780096","https://openalex.org/W2006203995","https://openalex.org/W2008547125","https://openalex.org/W2044465660","https://openalex.org/W2046113982","https://openalex.org/W2046625771","https://openalex.org/W2052331316","https://openalex.org/W2052966174","https://openalex.org/W2053154970","https://openalex.org/W2060745228","https://openalex.org/W2082266106","https://openalex.org/W2087475904","https://openalex.org/W2093072860","https://openalex.org/W2101678239","https://openalex.org/W2113388748","https://openalex.org/W2113410727","https://openalex.org/W2118710918","https://openalex.org/W2118921056","https://openalex.org/W2132424470","https://openalex.org/W2146884399","https://openalex.org/W2153538582","https://openalex.org/W2155632266","https://openalex.org/W2157133469","https://openalex.org/W2161815745","https://openalex.org/W2167787089","https://openalex.org/W2197913605","https://openalex.org/W2279831007","https://openalex.org/W2283002322","https://openalex.org/W2292221549","https://openalex.org/W2346039076","https://openalex.org/W2472919595","https://openalex.org/W2520082337","https://openalex.org/W2531168480","https://openalex.org/W2547221248","https://openalex.org/W2553544826","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3102206198","https://openalex.org/W4229862041"],"related_works":["https://openalex.org/W2889302474","https://openalex.org/W2442738406","https://openalex.org/W4377014260","https://openalex.org/W4245827621","https://openalex.org/W4306942285","https://openalex.org/W2541496036","https://openalex.org/W2086835154","https://openalex.org/W2005234362","https://openalex.org/W2060895509","https://openalex.org/W2357530009"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}