{"id":"https://openalex.org/W2137342083","doi":"https://doi.org/10.1109/igarss.2004.1370222","title":"The preprocessing of TM images towards the destination of endmember retrieving","display_name":"The preprocessing of TM images towards the destination of endmember retrieving","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2137342083","doi":"https://doi.org/10.1109/igarss.2004.1370222","mag":"2137342083"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1370222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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/A5014023304","display_name":"Shuisen Chen","orcid":"https://orcid.org/0000-0002-1204-9624"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shui-sen Chen","raw_affiliation_strings":["IRSA, Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"IRSA, Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018009227","display_name":"Qinhuo Liu","orcid":"https://orcid.org/0000-0002-3713-9511"},"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":false,"raw_author_name":"Qin-huo Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588562","display_name":"Liangfu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]},{"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":"Liang-fu Chen","raw_affiliation_strings":["Geography and Environment College, Jiangxi Normal University, Nanchang, China","State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Geography and Environment College, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056733015","display_name":"Bo Zhong","orcid":"https://orcid.org/0000-0002-3128-9914"},"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":false,"raw_author_name":"Bo Zhong","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102841926","display_name":"Lin Sun","orcid":"https://orcid.org/0000-0003-0002-6780"},"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":false,"raw_author_name":"Lin Sun","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014023304"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14231449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"4758","last_page":"4761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9850000143051147,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/endmember","display_name":"Endmember","score":0.9674639701843262},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7063825130462646},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6648765206336975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565037190914154},{"id":"https://openalex.org/keywords/modtran","display_name":"MODTRAN","score":0.5593457221984863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47474366426467896},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42574745416641235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4166271984577179},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30360639095306396},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26593485474586487},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.16722798347473145},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06534844636917114}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9674639701843262},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7063825130462646},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6648765206336975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565037190914154},{"id":"https://openalex.org/C2776445388","wikidata":"https://www.wikidata.org/wiki/Q6716998","display_name":"MODTRAN","level":3,"score":0.5593457221984863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47474366426467896},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42574745416641235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4166271984577179},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30360639095306396},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26593485474586487},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.16722798347473145},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06534844636917114},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1370222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W830278688","https://openalex.org/W1969753529","https://openalex.org/W1991209595","https://openalex.org/W2042112467","https://openalex.org/W2117098900"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2018409903","https://openalex.org/W2122965290","https://openalex.org/W2039688465","https://openalex.org/W2051369786","https://openalex.org/W2046112629","https://openalex.org/W4214827030","https://openalex.org/W4388538982","https://openalex.org/W2548760649","https://openalex.org/W2353456014"],"abstract_inverted_index":{"Due":[0],"to":[1,31,47],"the":[2,33,42,49,57],"failure":[3],"of":[4,36,41,52,74,79],"Landstat":[5,8],"7":[6],"ETM+,":[7],"5":[9],"images":[10,38],"are":[11],"widely":[12],"used":[13,30],"in":[14,82],"many":[15],"fields":[16],"again":[17],"since":[18],"May":[19],"2003.":[20],"In":[21],"this":[22],"letter,":[23],"a":[24],"method,":[25],"based":[26],"MODTRAN+TM+topographical":[27],"maps,":[28],"was":[29,68,85],"solve":[32],"preprocessing":[34],"problems":[35],"TM":[37],"towards":[39],"retrieving":[40,80],"endmembers.":[43],"It":[44],"proved":[45],"effective":[46],"retrieve":[48],"reflectance":[50,73],"values":[51],"surface":[53,59,75],"substances":[54],"and":[55],"confirm":[56],"pure":[58],"endmembers":[60,81],"before":[61],"an":[62],"in-site":[63],"spectral":[64],"experiment.":[65],"The":[66],"result":[67],"also":[69],"consistent":[70],"with":[71],"actual":[72],"substances.":[76],"A":[77],"case":[78],"Luancheng,":[83],"China":[84],"too":[86],"demonstrated.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
