{"id":"https://openalex.org/W2149324654","doi":"https://doi.org/10.1109/igarss.2011.6050214","title":"Detection of vehicles in shadow areas using combined hyperspectral and lidar data","display_name":"Detection of vehicles in shadow areas using combined hyperspectral and lidar data","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2149324654","doi":"https://doi.org/10.1109/igarss.2011.6050214","mag":"2149324654"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6050214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6050214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","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/A5070306117","display_name":"Michal Shimoni","orcid":"https://orcid.org/0000-0001-5487-6137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Shimoni","raw_affiliation_strings":["Department of Electrical Engineering (SIC-RMA), Signal and Image Centre, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (SIC-RMA), Signal and Image Centre, Brussels, Belgium","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004494204","display_name":"Gustav Tolt","orcid":null},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"funder","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"G. Tolt","raw_affiliation_strings":["FOI Swedish Defence Research Agency, Linkoping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FOI Swedish Defence Research Agency, Linkoping, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038825428","display_name":"Christiaan Perneel","orcid":null},"institutions":[{"id":"https://openalex.org/I150517870","display_name":"Royal Military Academy","ror":"https://ror.org/02vmnye06","country_code":"BE","type":"education","lineage":["https://openalex.org/I150517870"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"C. Perneel","raw_affiliation_strings":["Department of Mathematics, Royal Military Academy, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Royal Military Academy, Brussels, Belgium","institution_ids":["https://openalex.org/I150517870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066797894","display_name":"J\u00f6rgen Ahlberg","orcid":"https://orcid.org/0000-0002-6763-5487"},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"funder","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"J. Ahlberg","raw_affiliation_strings":["FOI Swedish Defence Research Agency, Linkoping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FOI Swedish Defence Research Agency, Linkoping, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0582,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87822259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4427","last_page":"4430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8975264430046082},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8331212997436523},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7780401706695557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844063997268677},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6151779294013977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613998293876648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.588249683380127},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5586378574371338},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5332327485084534},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5041860342025757},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4517969787120819},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41565078496932983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3807358145713806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3275109827518463},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23381516337394714}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8975264430046082},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8331212997436523},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7780401706695557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844063997268677},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6151779294013977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613998293876648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.588249683380127},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5586378574371338},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5332327485084534},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5041860342025757},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4517969787120819},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41565078496932983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3807358145713806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3275109827518463},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23381516337394714},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2011.6050214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6050214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1968558840","https://openalex.org/W1981536098","https://openalex.org/W2028681882","https://openalex.org/W2047870694","https://openalex.org/W2109064591","https://openalex.org/W2117187825","https://openalex.org/W2132532785","https://openalex.org/W2142552707","https://openalex.org/W2149469620","https://openalex.org/W2161523895","https://openalex.org/W6642210018","https://openalex.org/W6683516926"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W3034375524"],"abstract_inverted_index":{"In":[0],"an":[1],"effort":[2],"to":[3,20,42,65,89,105,109],"overcome":[4],"the":[5,44,98],"limitations":[6],"of":[7,46,100],"small":[8],"target":[9,112],"detection":[10,45,91,113],"in":[11,48,71,114],"complex":[12,115],"urban":[13,116],"scene,":[14],"complementary":[15],"data":[16,64,95],"sets":[17],"are":[18],"combined":[19],"provide":[21],"additional":[22],"insight":[23],"about":[24],"a":[25,31,93,107],"particular":[26],"scene.":[27],"This":[28],"paper":[29],"presents":[30],"method":[32],"based":[33],"on":[34],"shape/spectral":[35],"integration":[36],"(SSI)":[37],"decision":[38,83],"level":[39,84],"fusion":[40,85],"algorithm":[41,86],"improve":[43],"vehicles":[47,70],"semi":[49],"and":[50,62,77,97],"deep":[51],"shadow":[52,67],"areas.":[53],"A":[54],"four":[55],"steps":[56],"process":[57],"combines":[58],"high":[59],"resolution":[60],"LIDAR":[61,72],"hyperspectral":[63],"classify":[66],"areas,":[68],"segment":[69],"data,":[73],"detect":[74],"spectral":[75,111],"anomalies":[76],"improves":[78],"vehicle":[79],"detection.":[80],"The":[81],"SSI":[82],"was":[87,103],"shown":[88,104],"outperform":[90],"using":[92],"single":[94],"set":[96],"utility":[99],"shape":[101],"information":[102],"be":[106],"way":[108],"enhance":[110],"scenes.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
