{"id":"https://openalex.org/W2955486712","doi":"https://doi.org/10.1109/whispers.2018.8747234","title":"Investigation of Spectral Assignments from Airborne HRS Sensor to Model Friction Deterioration in Asphaltic Roads","display_name":"Investigation of Spectral Assignments from Airborne HRS Sensor to Model Friction Deterioration in Asphaltic Roads","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2955486712","doi":"https://doi.org/10.1109/whispers.2018.8747234","mag":"2955486712"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2018.8747234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5081864359","display_name":"Nimrod Carmon","orcid":"https://orcid.org/0000-0002-9211-2290"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I4210107917","display_name":"Exact Sciences (United States)","ror":"https://ror.org/01kc31v38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107917"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Nimrod Carmon","raw_affiliation_strings":["Porter School of Environmental Studies, Faculty of Exact Sciences, Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Porter School of Environmental Studies, Faculty of Exact Sciences, Tel-Aviv University","institution_ids":["https://openalex.org/I4210107917","https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111392166","display_name":"Eyal Ben\u2010Dor","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eyal Ben-Dor","raw_affiliation_strings":["School of Earth Sciences, Faculty of Exact Sciences, Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Faculty of Exact Sciences, Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033847196","display_name":"Csaba L\u00e9n\u00e1rt","orcid":"https://orcid.org/0000-0002-1483-8723"},"institutions":[{"id":"https://openalex.org/I120832542","display_name":"Eszterhazy Karoly Catholic University","ror":"https://ror.org/004gfgx38","country_code":"HU","type":"education","lineage":["https://openalex.org/I120832542"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Csaba Lenart","raw_affiliation_strings":["Research Institute of Remote Sensing and Rural Development, Eszterh\u00e1zy K\u00e1roly University, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Remote Sensing and Rural Development, Eszterh\u00e1zy K\u00e1roly University, Hungary","institution_ids":["https://openalex.org/I120832542"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1618,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50471814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8903518915176392},{"id":"https://openalex.org/keywords/asphalt","display_name":"Asphalt","score":0.6974465250968933},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5570030212402344},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47137153148651123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4232589602470398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38708898425102234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37531399726867676},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36513519287109375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36460167169570923},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34442389011383057},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.337429940700531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26468586921691895},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.26026588678359985},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19039833545684814},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09751361608505249}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8903518915176392},{"id":"https://openalex.org/C168056786","wikidata":"https://www.wikidata.org/wiki/Q202251","display_name":"Asphalt","level":2,"score":0.6974465250968933},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5570030212402344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47137153148651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4232589602470398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38708898425102234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37531399726867676},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36513519287109375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36460167169570923},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34442389011383057},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.337429940700531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26468586921691895},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.26026588678359985},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19039833545684814},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09751361608505249},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2018.8747234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334906","display_name":"Porter School of Environmental Studies, Tel Aviv University","ror":"https://ror.org/04mhzgx49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1975727962","https://openalex.org/W1996195892","https://openalex.org/W2007547215","https://openalex.org/W2016023958","https://openalex.org/W2021873216","https://openalex.org/W2102270813","https://openalex.org/W2106090966","https://openalex.org/W2131531901","https://openalex.org/W2155278882","https://openalex.org/W2321998745","https://openalex.org/W2586813976","https://openalex.org/W2762679981","https://openalex.org/W2766058305","https://openalex.org/W2790080658","https://openalex.org/W6623043969"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2022383765"],"abstract_inverted_index":{"In":[0],"this":[1,29],"work,":[2],"we":[3],"propose":[4],"a":[5,110],"spectral":[6,22,85],"assignment":[7],"analysis":[8],"(SAA)":[9],"oriented":[10],"partial":[11],"least":[12],"squares":[13],"regression":[14],"(PLS-R)":[15],"modeling":[16],"approach,":[17],"designed":[18],"to":[19,72,98,143,147],"provide":[20],"descriptive":[21],"assignments":[23,153],"of":[24,35,79],"proxy":[25],"models.":[26],"We":[27],"applied":[28],"method":[30,51,133],"on":[31,109],"airborne":[32],"HSR":[33],"data":[34,55,115],"asphalt":[36,127,144],"roads":[37,128],"combined":[38],"with":[39],"the":[40,50,54,77,80,95,100,105,119,137,151],"dynamic":[41],"friction":[42,156],"coefficient":[43],"(m)":[44],"that":[45],"were":[46],"measured":[47],"independently.":[48],"Accordingly,":[49],"automatically":[52],"subgroups":[53],"into":[56],"high":[57],"and":[58,139,150],"low":[59],"values":[60],"clusters":[61],"under":[62],"an":[63],"iterative":[64],"segmentation":[65],"process.":[66],"A":[67,84],"PLS-R":[68],"model":[69],"is":[70,89],"fitted":[71],"each":[73,92],"group,":[74],"followed":[75],"by":[76],"extraction":[78],"B":[81],"Coefficient":[82],"spectrum.":[83],"angle":[86],"(SA)":[87],"value":[88],"calculated":[90],"in":[91,129],"iteration":[93],"between":[94,104],"two":[96,106],"spectra":[97],"find":[99],"most":[101],"pronounced":[102],"difference":[103],"segments,":[107],"pointing":[108],"significant":[111],"group":[112],"separation.":[113],"Hyperspectral":[114],"was":[116],"acquired":[117],"using":[118],"AisaFenix":[120],"1k":[121],"hyperspectral":[122],"imaging":[123],"system":[124],"over":[125],"several":[126],"central":[130],"Israel.":[131],"This":[132],"provided":[134],"insights":[135],"regarding":[136],"physical":[138],"chemical":[140],"processes":[141],"occurring":[142],"pavement":[145],"due":[146],"aging":[148],"effects,":[149],"different":[152,155],"for":[154],"levels.":[157]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
