{"id":"https://openalex.org/W1993550872","doi":"https://doi.org/10.1109/igarss.2013.6721335","title":"A novel endmember extraction method using modified maximum spectral screening","display_name":"A novel endmember extraction method using modified maximum spectral screening","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1993550872","doi":"https://doi.org/10.1109/igarss.2013.6721335","mag":"1993550872"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["Intelligent Sense, Nanjing University of Science and Technology, China","School of Earth Science and Engineering, Hohai University , Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Sense, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Earth Science and Engineering, Hohai University , Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, China","[Jiangsu Provincial Key Lab. of Geographic Inf. Sci. & Technol., Nanjing Univ., Nanjing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"[Jiangsu Provincial Key Lab. of Geographic Inf. Sci. & Technol., Nanjing Univ., Nanjing, China]","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1015","last_page":"1018"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9939783811569214},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8683733940124512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7403032779693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891767740249634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583151638507843},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5604248642921448},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45975303649902344},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4148537218570709},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3345652222633362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22978609800338745}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9939783811569214},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8683733940124512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7403032779693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891767740249634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583151638507843},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5604248642921448},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45975303649902344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4148537218570709},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3345652222633362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22978609800338745}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6721335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2051369786","https://openalex.org/W2107222994","https://openalex.org/W2109836508","https://openalex.org/W2139206670","https://openalex.org/W2143277109","https://openalex.org/W2147043781","https://openalex.org/W2184771919","https://openalex.org/W2295820431","https://openalex.org/W4233760599","https://openalex.org/W4248253651","https://openalex.org/W6686393729"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Endmember":[0],"extraction":[1,26],"is":[2,47],"an":[3],"important":[4],"task":[5],"for":[6],"hyperspectral":[7],"analysis;":[8],"the":[9,21,64,75],"accurate":[10],"identification":[11],"of":[12,60],"endmembers":[13,50],"enables":[14],"efficient":[15],"spectral":[16],"unmixing":[17],"and":[18,42,78],"classification.":[19],"In":[20],"paper,":[22],"a":[23,30],"new":[24],"endmember":[25],"algorithm":[27],"based":[28],"on":[29],"modified":[31,53],"MSS":[32,54,61,77],"approach":[33],"with":[34],"LP":[35],"error":[36],"as":[37,45],"initial":[38],"spectrum":[39],"selection":[40],"algorithm,":[41],"OPD":[43],"measure":[44],"similarity":[46],"proposed.":[48],"The":[49],"extracted":[51],"by":[52],"are":[55],"more":[56],"similar":[57],"than":[58],"that":[59,70],"algorithm;":[62],"from":[63],"experiments":[65],"results,":[66],"it":[67],"has":[68],"proved":[69],"our":[71],"proposed":[72],"method":[73],"outperforms":[74],"existed":[76],"N-FINDR":[79],"algorithms.":[80]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
