{"id":"https://openalex.org/W2110038947","doi":"https://doi.org/10.1109/igarss.2009.5417859","title":"Multiple techniques for lunar surface minerals mapping using simulated data","display_name":"Multiple techniques for lunar surface minerals mapping using simulated data","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2110038947","doi":"https://doi.org/10.1109/igarss.2009.5417859","mag":"2110038947"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2009.5417859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5100903448","display_name":"Haixia He","orcid":null},"institutions":[{"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":"Haixia He","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"institutions":[{"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":"Bing Zhang","raw_affiliation_strings":["Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006192682","display_name":"Zhengchao Chen","orcid":"https://orcid.org/0000-0003-4293-6459"},"institutions":[{"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":"Zhengchao Chen","raw_affiliation_strings":["Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697663","display_name":"Ru Li","orcid":"https://orcid.org/0000-0002-9756-793X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Li","raw_affiliation_strings":["Institute of Space and earth information science, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Space and earth information science, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100903448"],"corresponding_institution_ids":["https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11609545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"III","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12073","display_name":"Isotope Analysis in Ecology","score":0.9907000064849854,"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/T10406","display_name":"Planetary Science and Exploration","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.7533950805664062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552663803100586},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5121114253997803},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5093413591384888},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4317547678947449},{"id":"https://openalex.org/keywords/geologic-map","display_name":"Geologic map","score":0.4117332398891449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4073615074157715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3504272699356079},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32898426055908203}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.7533950805664062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552663803100586},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5121114253997803},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5093413591384888},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4317547678947449},{"id":"https://openalex.org/C82586738","wikidata":"https://www.wikidata.org/wiki/Q193842","display_name":"Geologic map","level":2,"score":0.4117332398891449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4073615074157715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3504272699356079},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32898426055908203},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2009.5417859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2009.5417859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2009539575","https://openalex.org/W2037980631","https://openalex.org/W2053030350","https://openalex.org/W2064513574","https://openalex.org/W2074878011","https://openalex.org/W2078222544","https://openalex.org/W2081085736","https://openalex.org/W2090504047","https://openalex.org/W2155660701","https://openalex.org/W2464550912","https://openalex.org/W6719290125"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W2053213469","https://openalex.org/W939486154","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W2771741613"],"abstract_inverted_index":{"Lunar":[0,10],"minerals":[1,33],"mapping":[2,23,34,118,122,132],"is":[3,74],"one":[4],"of":[5,8,15,68,79,94],"basic":[6],"aims":[7],"China's":[9],"Exploration":[11],"Program.":[12],"The":[13,56,84,98],"goal":[14],"this":[16],"paper":[17],"was":[18,46,87],"to":[19,116],"use":[20],"multiple":[21],"mineral":[22],"techniques":[24],"including":[25],"classification":[26,71,85],"and":[27,35,62,147],"spectral":[28,81,103,112],"matching":[29,82],"for":[30,89],"lunar":[31,50,137,141],"surface":[32],"choose":[36],"the":[37,42,69,80,90,95,117,121,131,136,140,144,148],"effective":[38,76],"methods":[39],"based":[40],"on":[41],"image":[43],"data":[44,149],"which":[45,128],"simulated":[47],"by":[48,54],"76":[49],"samples":[51,93,99],"spectra":[52],"supplied":[53],"LSCC.":[55],"results":[57],"indicated":[58],"that":[59],"Mahalanobis":[60],"Distance":[61],"support":[63],"vector":[64],"machine":[65],"performs":[66],"best":[67],"supervised":[70],"methods.":[72,83],"SAM":[73],"more":[75],"than":[77],"SID":[78],"capability":[86],"different":[88,91],"size":[92,146],"same":[96],"materials.":[97],"with":[100],"obvious":[101],"diagnosed":[102,111],"characteristic":[104,113],"can":[105],"be":[106],"identified":[107],"effectively.":[108],"Those":[109],"without":[110],"are":[114,125],"sensitive":[115],"method.":[119],"Besides":[120],"methods,":[123],"there":[124],"other":[126],"factors":[127],"may":[129],"affect":[130],"results,":[133],"such":[134],"as":[135],"soil":[138,142],"component,":[139],"maturity,":[143],"particle":[145],"preprocessing":[150],"procedure.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
