{"id":"https://openalex.org/W2406440244","doi":"https://doi.org/10.3390/rs8050438","title":"Evaluation of the Chinese Fine Spatial Resolution Hyperspectral Satellite TianGong-1 in Urban Land-Cover Classification","display_name":"Evaluation of the Chinese Fine Spatial Resolution Hyperspectral Satellite TianGong-1 in Urban Land-Cover Classification","publication_year":2016,"publication_date":"2016-05-21","ids":{"openalex":"https://openalex.org/W2406440244","doi":"https://doi.org/10.3390/rs8050438","mag":"2406440244"},"language":"en","primary_location":{"id":"doi:10.3390/rs8050438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050438","pdf_url":"https://www.mdpi.com/2072-4292/8/5/438/pdf?version=1464082818","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/2072-4292/8/5/438/pdf?version=1464082818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039778931","display_name":"Xueke Li","orcid":"https://orcid.org/0000-0001-6755-9229"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueke Li","raw_affiliation_strings":["Department of Geography, University of Connecticut, Storrs, Mansfield, CT 06269, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Connecticut, Storrs, Mansfield, CT 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087094446","display_name":"Taixia Wu","orcid":"https://orcid.org/0000-0002-8706-9742"},"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/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Taixia Wu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399916","display_name":"Kai Liu","orcid":"https://orcid.org/0000-0002-6102-0860"},"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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"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":"Kai Liu","raw_affiliation_strings":["Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411270","display_name":"Yao Li","orcid":"https://orcid.org/0000-0003-2986-8789"},"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"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"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/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087094446","https://openalex.org/A5100399916"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210160793","https://openalex.org/I4210165038","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.2373,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95908733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"5","first_page":"438","last_page":"438"},"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":0.9975000023841858,"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":0.9850999712944031,"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":0.8160992860794067},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6856220960617065},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6307922005653381},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6248118877410889},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5258455872535706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.501042366027832},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49478644132614136},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4839470684528351},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4430631101131439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4203379154205322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4035280644893646},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33650627732276917},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.24994072318077087},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23245558142662048}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8160992860794067},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6856220960617065},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6307922005653381},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6248118877410889},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5258455872535706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.501042366027832},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49478644132614136},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4839470684528351},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4430631101131439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203379154205322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4035280644893646},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33650627732276917},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.24994072318077087},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23245558142662048},{"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":4,"locations":[{"id":"doi:10.3390/rs8050438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050438","pdf_url":"https://www.mdpi.com/2072-4292/8/5/438/pdf?version=1464082818","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:2073e4ee1c21455b97774560734286e1","is_oa":true,"landing_page_url":"https://doaj.org/article/2073e4ee1c21455b97774560734286e1","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 8, Iss 5, p 438 (2016)","raw_type":"article"},{"id":"pmh:oai:ir.igsnrr.ac.cn:311030/43042","is_oa":true,"landing_page_url":"http://ir.igsnrr.ac.cn/handle/311030/43042","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li X. K.,Wu, T. X.,Liu, K.,et al. Evaluation of the Chinese Fine Spatial Resolution Hyperspectral Satellite TianGong-1 in Urban Land-Cover Classification. 2016.","raw_type":"SCI/SSCI\u8bba\u6587"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/5/438/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8050438","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 8; Issue 5; Pages: 438","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8050438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8050438","pdf_url":"https://www.mdpi.com/2072-4292/8/5/438/pdf?version=1464082818","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":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2213568264","display_name":null,"funder_award_id":"41272364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5907349260","display_name":null,"funder_award_id":"4127236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2406440244.pdf","grobid_xml":"https://content.openalex.org/works/W2406440244.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1967013920","https://openalex.org/W1967531144","https://openalex.org/W1971495154","https://openalex.org/W1972343529","https://openalex.org/W1972923945","https://openalex.org/W1974776350","https://openalex.org/W1976099651","https://openalex.org/W1977066218","https://openalex.org/W1983186335","https://openalex.org/W1984792953","https://openalex.org/W1986997949","https://openalex.org/W1990231296","https://openalex.org/W1993699518","https://openalex.org/W1997478538","https://openalex.org/W2002244047","https://openalex.org/W2005084778","https://openalex.org/W2009235968","https://openalex.org/W2012111704","https://openalex.org/W2013597166","https://openalex.org/W2015258183","https://openalex.org/W2015502627","https://openalex.org/W2016421272","https://openalex.org/W2017200882","https://openalex.org/W2029144047","https://openalex.org/W2037412776","https://openalex.org/W2046723811","https://openalex.org/W2058939702","https://openalex.org/W2064289726","https://openalex.org/W2069231830","https://openalex.org/W2069406300","https://openalex.org/W2073786624","https://openalex.org/W2078619499","https://openalex.org/W2082081125","https://openalex.org/W2103079830","https://openalex.org/W2106701503","https://openalex.org/W2113397378","https://openalex.org/W2115076892","https://openalex.org/W2119879130","https://openalex.org/W2123907688","https://openalex.org/W2124503034","https://openalex.org/W2124706543","https://openalex.org/W2136251662","https://openalex.org/W2139514605","https://openalex.org/W2144899385","https://openalex.org/W2152470023","https://openalex.org/W2153633422","https://openalex.org/W2158770403","https://openalex.org/W2342925224","https://openalex.org/W2981849677","https://openalex.org/W6647340883","https://openalex.org/W6653942448","https://openalex.org/W6662355232"],"related_works":["https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2912065050","https://openalex.org/W2088899772","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"The":[0,94,156],"successful":[1],"launch":[2],"of":[3,19,24,28,36,81,91,97,113,150,207,221,237,251],"the":[4,25,29,52,60,75,111,119,148,162,166,177,183,188,196,210,226,240,259,282],"Chinese":[5],"high":[6],"spatial":[7,43,79,89,190,261],"resolution":[8,80,90,191,262],"hyperspectral":[9,53,107,185,264],"satellite":[10,21,184,263],"TianGong-1":[11],"(TG-1)":[12],"opens":[13],"up":[14],"new":[15],"possibilities":[16],"for":[17,63,110,181],"applications":[18],"remotely-sensed":[20],"imagery.":[22],"One":[23],"main":[26],"goals":[27],"TG-1":[30,61,76,98,194,266],"mission":[31],"is":[32,267],"to":[33,45,58,84,176],"provide":[34],"observations":[35],"surface":[37],"attributes":[38],"at":[39],"local":[40],"and":[41,135,165],"landscape":[42],"scales":[44],"map":[46],"urban":[47,64,114,152,198,212,228,242,272],"land":[48,153],"cover":[49,154],"accurately":[50],"using":[51,67,276],"technique.":[54],"This":[55],"study":[56],"attempted":[57],"evaluate":[59],"datasets":[62],"feature":[65,96],"analysis,":[66],"existing":[68],"data":[69,265],"over":[70],"Beijing,":[71],"China,":[72],"by":[73],"comparing":[74],"(with":[77,87],"a":[78,88],"10":[82],"m)":[83],"EO-1":[85],"Hyperion":[86,224],"30":[92],"m).":[93],"spectral":[95],"was":[99,170,200,214,230,244],"first":[100],"analyzed":[101],"and,":[102],"thus,":[103],"finding":[104],"out":[105],"optimal":[106],"wavebands":[108],"useful":[109],"discrimination":[112],"areas.":[115],"Based":[116],"on":[117],"this,":[118],"pixel-based":[120,125,163,179,197,227],"maximum":[121,131],"likelihood":[122,132],"classifier":[123,133,158,164],"(PMLC),":[124],"support":[126,137],"vector":[127,138],"machine":[128,139],"(PSVM),":[129],"hybrid":[130,136,157,211,241,283],"(HMLC),":[134],"(HSVM)":[140],"were":[141],"implemented,":[142],"as":[143,145,172,281],"well":[144],"compared":[146],"in":[147,269],"application":[149],"mapping":[151],"types.":[155],"approach,":[159,169],"which":[160],"integrates":[161],"object-based":[167],"segmentation":[168],"demonstrated":[171],"an":[173,203,217,233,247,277],"effective":[174],"alternative":[175],"conventional":[178],"classifiers":[180],"processing":[182],"data,":[186],"especially":[187,274],"fine":[189,260],"data.":[192],"For":[193,223],"imagery,":[195,225],"classification":[199,213,229,243],"obtained":[201,215,231,245],"with":[202,216,232,246],"average":[204,218,234,248],"overall":[205,219,235,249],"accuracy":[206,220,236,250],"89.1%,":[208],"whereas":[209,239],"91.8%.":[222],"85.9%,":[238],"86.7%.":[252],"Overall,":[253],"it":[254],"can":[255],"be":[256],"concluded":[257],"that":[258],"promising":[268],"delineating":[270],"complex":[271],"scenes,":[273],"when":[275],"appropriate":[278],"classifier,":[279],"such":[280],"classifier.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2016-06-24T00:00:00"}