{"id":"https://openalex.org/W2905105291","doi":"https://doi.org/10.1109/geoinformatics.2018.8557085","title":"A Highly Efficient Method for Training Sample Selection in Remote Sensing Classification","display_name":"A Highly Efficient Method for Training Sample Selection in Remote Sensing Classification","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2905105291","doi":"https://doi.org/10.1109/geoinformatics.2018.8557085","mag":"2905105291"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054433699","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0001-7724-0385"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","College of Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210141849"]},{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Li","raw_affiliation_strings":["Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","Mapping and Geolnformation &Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210141849"]},{"raw_affiliation_string":"Mapping and Geolnformation &Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070114140","display_name":"Guofeng Wu","orcid":"https://orcid.org/0000-0003-2275-6530"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Wu","raw_affiliation_strings":["Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210141849"]},{"raw_affiliation_string":"College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080036448","display_name":"Junyi Chen","orcid":"https://orcid.org/0000-0002-9992-7273"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Chen","raw_affiliation_strings":["Ministry of Education, Nanjing Normal University, Key Laboratory of Virtual Geographic Environment, Nanjing, 210023, China","Ministry of Education, Nanjing Normal University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Nanjing Normal University, Key Laboratory of Virtual Geographic Environment, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"Ministry of Education, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7746,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7087725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9980999827384949,"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":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.7175218462944031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746789216995239},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6541183590888977},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6059855222702026},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.555051326751709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.544466495513916},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5337686538696289},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5277811884880066},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5113070011138916},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4207518398761749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41745632886886597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3941709101200104},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15801817178726196},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.09305503964424133},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09118983149528503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08906036615371704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175218462944031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746789216995239},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6541183590888977},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6059855222702026},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.555051326751709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.544466495513916},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5337686538696289},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5277811884880066},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5113070011138916},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4207518398761749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41745632886886597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3941709101200104},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15801817178726196},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.09305503964424133},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09118983149528503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08906036615371704},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1565635109","https://openalex.org/W1990431955","https://openalex.org/W2032813154","https://openalex.org/W2035636738","https://openalex.org/W2099839695","https://openalex.org/W2105536892","https://openalex.org/W2111975408","https://openalex.org/W2181403436","https://openalex.org/W2372343169","https://openalex.org/W2377103813","https://openalex.org/W2379193994","https://openalex.org/W2594796036","https://openalex.org/W2771038928","https://openalex.org/W3106733967","https://openalex.org/W4385221606","https://openalex.org/W7046554804"],"related_works":["https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1743191351","https://openalex.org/W3104633800","https://openalex.org/W2914059119","https://openalex.org/W3023567978","https://openalex.org/W2069184433","https://openalex.org/W3044778482","https://openalex.org/W230091440","https://openalex.org/W2043913960"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"classification":[2,16,23],"is":[3,25,38,52,71],"an":[4,26],"important":[5],"way":[6],"to":[7,117,144],"obtain":[8],"land":[9],"cover":[10],"information,":[11],"and":[12,28,61,64,82,164],"the":[13,22,32,56,65,79,123,136,153,170,182],"selection":[14,36,41,50,90,98],"of":[15,21,68,135,173],"training":[17,34,48,88,96],"samples":[18,35],"for":[19,73,86],"most":[20,166],"method":[24,37,91,99,125,155,175,184],"expensive":[27],"time-consuming":[29],"task.":[30],"However,":[31],"traditional":[33,87,124,174],"a":[39,94,101,128],"direct":[40],"based":[42,126],"on":[43,127],"two-dimensional":[44,129],"(2D)":[45],"images,":[46],"therefore,":[47],"sample":[49,89,97],"efficiency":[51,81],"always":[53],"low":[54,80,83],"in":[55,140],"regions":[57],"with":[58,165],"complex":[59],"terrain":[60,104],"landscape":[62],"fragmentation,":[63],"ROI":[66,84,157,171],"(region":[67],"interest)":[69],"separability":[70,85,158,172],"unsatisfactory":[72],"classification.":[74],"This":[75],"study":[76],"aims":[77],"at":[78],"put":[92],"forward":[93],"new":[95,183],"using":[100],"three-dimensional":[102],"(3D)":[103],"model":[105,115],"that":[106,152,159],"was":[107,142,160,185],"created":[108],"by":[109],"OLI":[110,133],"image":[111,134],"fusion":[112],"digital":[113],"elevation":[114],"(DEM)":[116],"select":[118],"ROIs,":[119],"which":[120,180],"departs":[121],"from":[122],"image.":[130],"A":[131],"Landsat-8":[132],"Yunlong":[137],"Reservoir":[138],"Basin":[139],"Kunming":[141],"used":[143],"test":[145],"this":[146],"proposed":[147,154],"method.":[148],"Study":[149],"results":[150],"showed":[151,181],"obtained":[156],"greater":[161],"than":[162],"1.9,":[163],"reaching":[167],"2.0;":[168],"while":[169],"still":[176],"had":[177],"unqualified":[178],"situation,":[179],"more":[186],"effective.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
