{"id":"https://openalex.org/W4390470518","doi":"https://doi.org/10.3390/rs16010172","title":"Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms","display_name":"Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms","publication_year":2023,"publication_date":"2023-12-31","ids":{"openalex":"https://openalex.org/W4390470518","doi":"https://doi.org/10.3390/rs16010172"},"language":"en","primary_location":{"id":"doi:10.3390/rs16010172","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010172","pdf_url":"https://www.mdpi.com/2072-4292/16/1/172/pdf?version=1704015588","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/2072-4292/16/1/172/pdf?version=1704015588","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102727250","display_name":"Mohammad Ali Olyaei","orcid":"https://orcid.org/0000-0001-7574-3763"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammadali Olyaei","raw_affiliation_strings":["Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084725110","display_name":"Ardeshir Ebtehaj","orcid":"https://orcid.org/0000-0001-5960-4958"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ardeshir Ebtehaj","raw_affiliation_strings":["Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102727250"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7173,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84544394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"1","first_page":"172","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9889000058174133,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9889000058174133,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9873999953269958,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9854999780654907,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.796820878982544},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7448523044586182},{"id":"https://openalex.org/keywords/wavelength","display_name":"Wavelength","score":0.6478621959686279},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5954525470733643},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5410183668136597},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5079007744789124},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.4811631143093109},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46865835785865784},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4590616822242737},{"id":"https://openalex.org/keywords/absorption","display_name":"Absorption (acoustics)","score":0.44970083236694336},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3994832932949066},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.34177452325820923},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2664707899093628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23143574595451355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1628749668598175},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1325502097606659}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.796820878982544},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7448523044586182},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.6478621959686279},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5954525470733643},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5410183668136597},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5079007744789124},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.4811631143093109},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46865835785865784},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4590616822242737},{"id":"https://openalex.org/C125287762","wikidata":"https://www.wikidata.org/wiki/Q1758948","display_name":"Absorption (acoustics)","level":2,"score":0.44970083236694336},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3994832932949066},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.34177452325820923},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2664707899093628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23143574595451355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1628749668598175},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1325502097606659},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16010172","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010172","pdf_url":"https://www.mdpi.com/2072-4292/16/1/172/pdf?version=1704015588","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:4bbbfd388c924b80afae81b6a2178304","is_oa":true,"landing_page_url":"https://doaj.org/article/4bbbfd388c924b80afae81b6a2178304","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 1, p 172 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16010172","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010172","pdf_url":"https://www.mdpi.com/2072-4292/16/1/172/pdf?version=1704015588","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1673391379","display_name":null,"funder_award_id":"80NSSC2","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G5449017812","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G8090792099","display_name":null,"funder_award_id":"M.L.2021 E812RSM","funder_id":"https://openalex.org/F4320314252","funder_display_name":"Legislative-Citizen Commission on Minnesota Resources"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320314252","display_name":"Legislative-Citizen Commission on Minnesota Resources","ror":null},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390470518.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W842886668","https://openalex.org/W1817841038","https://openalex.org/W1890834058","https://openalex.org/W1932531222","https://openalex.org/W1978305832","https://openalex.org/W1986142393","https://openalex.org/W1991050696","https://openalex.org/W1994508789","https://openalex.org/W1995581599","https://openalex.org/W2008957755","https://openalex.org/W2014268383","https://openalex.org/W2025522544","https://openalex.org/W2035057253","https://openalex.org/W2047742085","https://openalex.org/W2057495411","https://openalex.org/W2067136514","https://openalex.org/W2077509829","https://openalex.org/W2101590145","https://openalex.org/W2101678239","https://openalex.org/W2108982210","https://openalex.org/W2120753776","https://openalex.org/W2134325623","https://openalex.org/W2134877526","https://openalex.org/W2135046866","https://openalex.org/W2140856955","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2155782014","https://openalex.org/W2158703410","https://openalex.org/W2165835468","https://openalex.org/W2168444508","https://openalex.org/W2276439978","https://openalex.org/W2344485560","https://openalex.org/W2478496062","https://openalex.org/W2572810799","https://openalex.org/W2625479840","https://openalex.org/W2789438661","https://openalex.org/W2795807980","https://openalex.org/W2911010442","https://openalex.org/W2950325582","https://openalex.org/W2964253263","https://openalex.org/W2969832099","https://openalex.org/W2985301758","https://openalex.org/W3013238415","https://openalex.org/W3018351936","https://openalex.org/W3026191479","https://openalex.org/W3055327921","https://openalex.org/W3093066926","https://openalex.org/W3094176698","https://openalex.org/W3104689168","https://openalex.org/W3122119529","https://openalex.org/W3134347438","https://openalex.org/W3147644407","https://openalex.org/W3150214740","https://openalex.org/W3157286560","https://openalex.org/W3158309011","https://openalex.org/W3164352504","https://openalex.org/W3178226645","https://openalex.org/W3180336490","https://openalex.org/W3197734968","https://openalex.org/W3198810143","https://openalex.org/W4211145606","https://openalex.org/W4220690128","https://openalex.org/W4225681684","https://openalex.org/W4230902634","https://openalex.org/W4233762729","https://openalex.org/W4235145261","https://openalex.org/W4235713725","https://openalex.org/W4285113998","https://openalex.org/W4303427396","https://openalex.org/W4310177749","https://openalex.org/W4312770409","https://openalex.org/W4316590524","https://openalex.org/W4385284925","https://openalex.org/W6797426884","https://openalex.org/W6801016180"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041"],"abstract_inverted_index":{"This":[0],"article":[1],"provides":[2],"insights":[3],"into":[4],"the":[5,65,68,74,78,98,131,135,148,155,158,168,185,196,212,219,223,230,237,246,254,261,265,274,285],"optical":[6],"signatures":[7,224],"of":[8,21,67,73,77,101,113,134,137,150,157,173,179,184,199,206,211,222,248,264,276],"plastic":[9,25,139,278,296],"litter":[10,297],"based":[11],"on":[12,64],"a":[13,56,177,180,291],"published":[14],"laboratory-scale":[15],"reflectance":[16,95,132,186,279],"data":[17,79],"set":[18],"(350\u20132500":[19],"nm)":[20,175],"dry":[22],"and":[23,29,44,70,88,108,124,143,227,288],"wet":[24,102,138,277],"debris":[26],"under":[27],"clear":[28,142],"turbid":[30,144],"waters":[31],"using":[32],"different":[33],"band":[34,114],"selection":[35,49,115,239],"techniques,":[36],"including":[37],"sparse":[38],"variable":[39,48,238],"selection,":[40],"density":[41,72,183],"peak":[42,162],"clustering,":[43],"hierarchical":[45,190],"clustering.":[46],"The":[47,111,209],"method":[50],"identifies":[51,164],"important":[52,119,152,255],"wavelengths":[53,153,166,194],"by":[54,236,267,280],"minimizing":[55],"reconstruction":[57],"error":[58],"metric,":[59],"while":[60],"clustering":[61,163,191,213],"approaches":[62],"rely":[63],"strengths":[66],"correlation":[69],"local":[71,182],"spectra.":[75],"Analyses":[76],"reveal":[80],"three":[81,118],"distinct":[82],"absorption":[83],"lines":[84],"at":[85],"560,":[86],"740,":[87],"980":[89],"nm":[90,126,201],"that":[91,127,245],"produce":[92],"relatively":[93],"broad":[94],"peaks":[96,133,226],"in":[97,167,195,229,260],"measured":[99],"spectra":[100,140],"plastics":[103],"around":[104],"475\u2013490,":[105],"635\u2013650,":[106],"810\u2013815,":[107],"1070":[109,299],"nm.":[110,302],"results":[112,156,210],"consistently":[116],"identify":[117],"regions":[120],"across":[121,284],"450\u2013470,":[122],"650\u2013690,":[123],"1050\u20131100":[125],"are":[128,215,233],"close":[129],"to":[130,203,282,300],"mean":[136],"over":[141],"waters.":[145],"However,":[146],"as":[147,176,225],"number":[149],"isolated":[151],"increases,":[154],"methodologies":[159],"diverge.":[160],"Density":[161],"additional":[165],"short-wave":[169],"infrared":[170],"(SWIR)":[171],"region":[172],"1170\u20131180":[174],"result":[178],"high":[181],"points.":[187],"In":[188],"contrast,":[189],"isolates":[192],"more":[193],"visible":[197,262],"range":[198],"365\u2013400":[200],"due":[202],"weak":[204],"correlations":[205],"nearby":[207],"wavelengths.":[208],"methods":[214],"not":[216],"consistent":[217],"with":[218,295],"visual":[220],"inspection":[221],"valleys":[228],"spectra,":[231],"which":[232],"effectively":[234],"captured":[235],"method.":[240],"It":[241],"is":[242],"also":[243],"found":[244],"presence":[247],"suspended":[249],"sediments":[250],"can":[251],"(i)":[252],"shift":[253],"wavelength":[256],"towards":[257],"higher":[258],"values":[259],"part":[263],"spectrum":[266],"less":[268],"than":[269],"50":[270],"nm,":[271],"(ii)":[272],"attenuate":[273],"magnitude":[275],"up":[281],"80%":[283],"entire":[286],"spectrum,":[287],"(iii)":[289],"manifest":[290],"similar":[292],"spectral":[293],"signature":[294],"from":[298],"1100":[301]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
