{"id":"https://openalex.org/W2078183677","doi":"https://doi.org/10.1109/tgrs.2013.2257604","title":"Progressive Band Selection of Spectral Unmixing for Hyperspectral Imagery","display_name":"Progressive Band Selection of Spectral Unmixing for Hyperspectral Imagery","publication_year":2013,"publication_date":"2013-07-04","ids":{"openalex":"https://openalex.org/W2078183677","doi":"https://doi.org/10.1109/tgrs.2013.2257604","mag":"2078183677"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2257604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2257604","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011994790","display_name":"Keng-Hao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210141710","display_name":"Institute of Statistical Science, Academia Sinica","ror":"https://ror.org/044gv5910","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210141710","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Keng-Hao Liu","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210141710"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7078,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.97445816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"4","first_page":"2002","last_page":"2017"},"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":0.9961000084877014,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9582114815711975},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9262915849685669},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.7225388288497925},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6377577185630798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5880413055419922},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5820097327232361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549834966659546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.529015302658081},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4923437833786011},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4751957654953003},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.412313848733902},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2569647431373596}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9582114815711975},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9262915849685669},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.7225388288497925},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6377577185630798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5880413055419922},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5820097327232361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549834966659546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.529015302658081},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4923437833786011},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4751957654953003},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.412313848733902},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2569647431373596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2013.2257604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2257604","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1968589019","https://openalex.org/W1972293418","https://openalex.org/W1974780125","https://openalex.org/W1984675385","https://openalex.org/W1985773859","https://openalex.org/W1992347734","https://openalex.org/W2015420370","https://openalex.org/W2030237258","https://openalex.org/W2034274945","https://openalex.org/W2040648638","https://openalex.org/W2047029347","https://openalex.org/W2057978375","https://openalex.org/W2072994047","https://openalex.org/W2074527119","https://openalex.org/W2076263407","https://openalex.org/W2099111195","https://openalex.org/W2109115094","https://openalex.org/W2109836508","https://openalex.org/W2124834959","https://openalex.org/W2127062304","https://openalex.org/W2137205624","https://openalex.org/W2138038253","https://openalex.org/W2138875020","https://openalex.org/W2143130611","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2155359044","https://openalex.org/W2160907264","https://openalex.org/W2163547919","https://openalex.org/W2165755981","https://openalex.org/W2295820431","https://openalex.org/W3135327530","https://openalex.org/W3195212285","https://openalex.org/W4205778870","https://openalex.org/W4233760599","https://openalex.org/W4248253651","https://openalex.org/W6791559106"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W2798328034","https://openalex.org/W2791078257","https://openalex.org/W2099703033","https://openalex.org/W2127934268","https://openalex.org/W2890371384","https://openalex.org/W2120480074","https://openalex.org/W2036412792","https://openalex.org/W2039721451","https://openalex.org/W2889956472"],"abstract_inverted_index":{"A":[0],"new":[1,117],"band":[2,120,140,143,154],"selection":[3],"(BS),":[4],"called":[5],"progressive":[6],"BS":[7,25,183,194],"(PBS)":[8],"of":[9,35,52,70,96,108,119,153,190],"spectral":[10,44,85,165],"unmixing":[11,166],"for":[12,43,57,125,138,175],"hyperspectral":[13],"imagery":[14],"is":[15,19,94,113],"being":[16],"presented.":[17],"It":[18],"quite":[20],"different":[21,65,173],"from":[22],"the":[23,27,30,33,47,50,62,111,181],"traditional":[24,182],"in":[26,72],"sense":[28],"that":[29,64,180],"former":[31],"adapts":[32],"number":[34],"selected":[36],"bands,":[37],"p":[38,53,93],"to":[39,61,82,89,105,123,131,135,147,151,157],"various":[40,68,176],"endmembers":[41,66,109],"used":[42,137],"unmixing,":[45],"while":[46],"latter":[48],"fixes":[49],"value":[51,100],"at":[54],"a":[55,116,163,178],"constant":[56],"all":[58],"endmembers.":[59,128],"Due":[60],"fact":[63],"post":[67],"levels":[69],"difficulty":[71],"discrimination,":[73],"each":[74,107],"endmember":[75],"should":[76],"have":[77],"its":[78,84],"own":[79],"custom-selected":[80],"bands":[81,134,149,174],"specify":[83],"characteristics.":[86],"In":[87,129],"order":[88,130],"address":[90],"this":[91],"issue,":[92],"composed":[95],"two":[97],"values,":[98],"one":[99],"determined":[101,114],"by":[102,115,171,198],"virtual":[103],"dimensionality":[104,121],"accommodate":[106],"and":[110,142,156,188],"other":[112],"concept":[118],"allocation":[122],"account":[124],"discrminability":[126],"among":[127],"find":[132],"appropriate":[133],"be":[136,168],"PBS,":[139],"prioritization":[141],"de-correlation":[144],"are":[145,195],"included":[146],"rank":[148],"according":[150],"significance":[152],"information":[155],"remove":[158],"interband":[159],"redundancy,":[160],"respectively.":[161],"As":[162],"result,":[164],"can":[167],"performed":[169],"progressively":[170],"selecting":[172],"endmembers,":[177],"task":[179],"cannot":[184],"accomplish.":[185],"The":[186],"effectiveness":[187],"advantages":[189],"using":[191],"PBS":[192],"over":[193],"also":[196],"demonstrated":[197],"experiments.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}