{"id":"https://openalex.org/W3172970286","doi":"https://doi.org/10.3390/rs13112234","title":"A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification","display_name":"A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3172970286","doi":"https://doi.org/10.3390/rs13112234","mag":"3172970286"},"language":"en","primary_location":{"id":"doi:10.3390/rs13112234","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13112234","pdf_url":"https://www.mdpi.com/2072-4292/13/11/2234/pdf?version=1623202713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/11/2234/pdf?version=1623202713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101921923","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0003-0311-8090"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006691049","display_name":"Huaqiang Du","orcid":"https://orcid.org/0000-0002-6765-2279"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaqiang Du","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057494915","display_name":"Guomo Zhou","orcid":"https://orcid.org/0000-0003-4204-1129"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guomo Zhou","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060255447","display_name":"Xuejian Li","orcid":"https://orcid.org/0000-0002-7553-2576"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejian Li","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022022551","display_name":"Fangjie Mao","orcid":"https://orcid.org/0000-0003-2005-3452"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjie Mao","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036975698","display_name":"Di\u2019en Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di\u2019en Zhu","raw_affiliation_strings":["The College of Forestry, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"The College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019490192","display_name":"Yanxin Xu","orcid":"https://orcid.org/0000-0003-3269-3465"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxin Xu","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437751","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-5770-571X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043714026","display_name":"Shaobai He","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobai He","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035422964","display_name":"Zihao Huang","orcid":"https://orcid.org/0000-0002-7443-6515"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Huang","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5006691049"],"corresponding_institution_ids":["https://openalex.org/I1284762954"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9973,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78712991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":"11","first_page":"2234","last_page":"2234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9789999723434448,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.7761321663856506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927106201648712},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49096253514289856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4534747898578644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4492095410823822},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4288948178291321}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761321663856506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927106201648712},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49096253514289856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4534747898578644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4492095410823822},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4288948178291321}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13112234","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13112234","pdf_url":"https://www.mdpi.com/2072-4292/13/11/2234/pdf?version=1623202713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78bbf17f73a343428112a49fd9197b1a","is_oa":true,"landing_page_url":"https://doaj.org/article/78bbf17f73a343428112a49fd9197b1a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 11, p 2234 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/11/2234/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13112234","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 13; Issue 11; Pages: 2234","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13112234","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13112234","pdf_url":"https://www.mdpi.com/2072-4292/13/11/2234/pdf?version=1623202713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5020971944","display_name":null,"funder_award_id":"U1809208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3172970286.pdf","grobid_xml":"https://content.openalex.org/works/W3172970286.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1536340909","https://openalex.org/W1904128688","https://openalex.org/W1964217023","https://openalex.org/W1965548396","https://openalex.org/W1968200975","https://openalex.org/W1982973280","https://openalex.org/W1985133440","https://openalex.org/W1989919782","https://openalex.org/W1994414533","https://openalex.org/W1996420463","https://openalex.org/W1998842586","https://openalex.org/W2007621462","https://openalex.org/W2009539575","https://openalex.org/W2025967407","https://openalex.org/W2044465660","https://openalex.org/W2063623478","https://openalex.org/W2065078136","https://openalex.org/W2089441588","https://openalex.org/W2093628091","https://openalex.org/W2104244094","https://openalex.org/W2109006150","https://openalex.org/W2112458566","https://openalex.org/W2113410727","https://openalex.org/W2119363183","https://openalex.org/W2125270033","https://openalex.org/W2128438912","https://openalex.org/W2131541495","https://openalex.org/W2134357733","https://openalex.org/W2139573966","https://openalex.org/W2145669224","https://openalex.org/W2150045166","https://openalex.org/W2154772499","https://openalex.org/W2161815745","https://openalex.org/W2194600502","https://openalex.org/W2194751616","https://openalex.org/W2261059368","https://openalex.org/W2317971218","https://openalex.org/W2509712787","https://openalex.org/W2541743403","https://openalex.org/W2556707762","https://openalex.org/W2600061660","https://openalex.org/W2751261091","https://openalex.org/W2791720519","https://openalex.org/W2801275556","https://openalex.org/W2804466639","https://openalex.org/W2807645981","https://openalex.org/W2888927525","https://openalex.org/W2920254659","https://openalex.org/W2921468651","https://openalex.org/W2940726923","https://openalex.org/W2941529264","https://openalex.org/W2989291945","https://openalex.org/W2991616716","https://openalex.org/W2996331621","https://openalex.org/W3000627240","https://openalex.org/W3003341045","https://openalex.org/W3007955788","https://openalex.org/W3009772231","https://openalex.org/W3011147769","https://openalex.org/W3013311250","https://openalex.org/W3021882766","https://openalex.org/W3028034508","https://openalex.org/W3044282875","https://openalex.org/W3081791696","https://openalex.org/W3108562857","https://openalex.org/W3119957808","https://openalex.org/W3122259118","https://openalex.org/W3124992511","https://openalex.org/W3127319645","https://openalex.org/W3127327694","https://openalex.org/W3131937156","https://openalex.org/W3133146351","https://openalex.org/W3133301461","https://openalex.org/W3135209966","https://openalex.org/W4383570493","https://openalex.org/W6649581245","https://openalex.org/W6679316199","https://openalex.org/W6687296144","https://openalex.org/W6759166333","https://openalex.org/W6853877675"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W2889302474","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"An":[0],"informative":[1,58],"training":[2,53,112,181],"set":[3],"is":[4,23,105,118,132,186,195,202,228,237,287,294],"necessary":[5],"for":[6,59,188,224,394],"ensuring":[7],"the":[8,12,60,66,122,137,143,146,168,172,180,184,189,220,233,242,245,249,252,257,265,277,282,301,306,318,333,345,351,380,389,392],"robust":[9],"performance":[10],"of":[11,14,37,52,68,87,101,212,222,284,311,336,353,361,368],"classification":[13,62,123,286],"very-high-resolution":[15],"remote":[16],"sensing":[17],"(VHRRS)":[18],"images,":[19],"but":[20],"labeling":[21,316],"work":[22],"often":[24],"difficult,":[25],"expensive,":[26],"and":[27,49,114,140,164,183,232,327,359,388],"time-consuming.":[28],"This":[29],"makes":[30],"active":[31,76],"learning":[32,77],"(AL)":[33],"an":[34,38,384],"important":[35],"part":[36],"image":[39],"analysis":[40],"framework.":[41],"AL":[42,313],"aims":[43],"to":[44,120,135,142,161,179,296,299],"efficiently":[45],"build":[46],"a":[47,82,109,199,324],"representative":[48],"efficient":[50],"library":[51],"samples":[54,148,157,176],"that":[55,207,274,292,360],"are":[56,149,158,177],"most":[57,155],"underlying":[61],"task,":[63],"thereby":[64],"minimizing":[65],"cost":[67,326],"obtaining":[69],"labeled":[70,166],"data.":[71],"Based":[72],"on":[73,218,269,276,404],"ranked":[74,150,162],"batch-mode":[75],"(RBMAL),":[78],"this":[79],"paper":[80],"proposes":[81],"novel":[83],"combined":[84,320,378],"query":[85,309,321],"strategy":[86,322],"spectral":[88,127],"information":[89,128,216,396],"divergence":[90,129],"lowest":[91],"confidence":[92],"uncertainty":[93,124,302],"sampling":[94],"(SIDLC),":[95],"called":[96,171],"RBSIDLC.":[97,405],"The":[98,154,192,204,365],"base":[99],"classifier":[100],"random":[102],"forest":[103],"(RF)":[104],"initialized":[106],"by":[107,167,357,363,374],"using":[108],"small":[110],"initial":[111],"set,":[113,182],"each":[115,225],"unlabeled":[116,147],"sample":[117,315],"analyzed":[119],"obtain":[121],"score.":[125,303],"A":[126],"(SID)":[130],"function":[131,267],"then":[133,165],"used":[134],"calculate":[136],"similarity":[138,266],"score,":[139,145],"according":[141,160],"final":[144],"in":[151,248,398],"descending":[152],"lists.":[153],"\u201cvaluable\u201d":[156],"selected":[159],"lists":[163],"analyst/expert":[169],"(also":[170],"oracle).":[173],"Finally,":[174],"these":[175],"added":[178],"RF":[185,285,298,375],"retrained":[187],"next":[190],"iteration.":[191],"whole":[193],"procedure":[194],"iteratively":[196],"implemented":[197],"until":[198],"stopping":[200],"criterion":[201],"met.":[203],"results":[205,390],"indicate":[206],"RBSIDLC":[208,253,349],"achieves":[209],"high-precision":[210],"extraction":[211,223,356,397],"urban":[213,399],"land":[214,262,338,355,370,400],"use":[215,297,339,371,401],"based":[217,268,275,403],"VHRRS;":[219],"accuracy":[221,235],"land-use":[226],"type":[227],"greater":[229,238,288],"than":[230,239,273,289],"90%,":[231,290],"overall":[234],"(OA)":[236],"96%.":[240],"After":[241],"SID":[243,270],"replaces":[244],"Euclidean":[246,278],"distance":[247],"RBMAL":[250],"algorithm,":[251,348],"method":[254,382],"greatly":[255],"reduces":[256],"misclassification":[258,334],"rate":[259,335],"among":[260],"different":[261,337,369],"types.":[263,340],"Therefore,":[264],"performs":[271],"better":[272],"distance.":[279],"In":[280],"addition,":[281],"OA":[283],"suggesting":[291],"it":[293],"feasible":[295],"estimate":[300],"Compared":[304],"with":[305,317,344,379],"three":[307],"single":[308],"strategies":[310],"other":[312],"methods,":[314],"SIDLC":[319],"yields":[323],"lower":[325],"higher":[328],"quality,":[329],"thus":[330],"effectively":[331],"reducing":[332],"For":[341],"example,":[342],"compared":[343],"Batch_Based_Entropy":[346],"(BBE)":[347],"improves":[350],"precision":[352],"barren":[354],"37%":[358],"vegetation":[362],"14%.":[364],"25":[366],"characteristics":[367],"types":[372],"screened":[373],"cross-validation":[376],"(RFCV)":[377],"permutation":[381],"exhibit":[383],"excellent":[385],"separation":[386],"degree,":[387],"provide":[391],"basis":[393],"VHRRS":[395],"settings":[402]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-06-22T00:00:00"}