{"id":"https://openalex.org/W2079987982","doi":"https://doi.org/10.1109/igarss.2015.7325696","title":"Hyperspectral and lidar data integration and classification","display_name":"Hyperspectral and lidar data integration and classification","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2079987982","doi":"https://doi.org/10.1109/igarss.2015.7325696","mag":"2079987982"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5048483618","display_name":"Maria Angeles Garcia-Sopo","orcid":null},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Maria Angeles Garcia-Sopo","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Spain","Kraken Research Group, University of Extremadura, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Kraken Research Group, University of Extremadura, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033934185","display_name":"Aurora Cuartero","orcid":"https://orcid.org/0000-0002-0219-9696"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Aurora Cuartero","raw_affiliation_strings":["Kraken Research Group, University of Extremadura, Spain"],"affiliations":[{"raw_affiliation_string":"Kraken Research Group, University of Extremadura, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052193156","display_name":"Pablo G. Rodr\u00edguez","orcid":"https://orcid.org/0000-0001-8168-7892"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Garcia Rodriguez","raw_affiliation_strings":["Media Engineering Group (GIM), University of Extremadura, Spain"],"affiliations":[{"raw_affiliation_string":"Media Engineering Group (GIM), University of Extremadura, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048483618"],"corresponding_institution_ids":["https://openalex.org/I80606768"],"apc_list":null,"apc_paid":null,"fwci":0.4146,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68272452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9987999796867371,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9535195231437683},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.9421449303627014},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7383414506912231},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.680923342704773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582881569862366},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5544572472572327},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5203532576560974},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5183081030845642},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.495112806558609},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.48933738470077515},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4360865354537964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30455005168914795},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2802124619483948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1966353952884674},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.19101062417030334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06879916787147522}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9535195231437683},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9421449303627014},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7383414506912231},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.680923342704773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582881569862366},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5544572472572327},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5203532576560974},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5183081030845642},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.495112806558609},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.48933738470077515},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4360865354537964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30455005168914795},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2802124619483948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1966353952884674},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.19101062417030334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06879916787147522},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2007796998","https://openalex.org/W2114397851","https://openalex.org/W2131697388","https://openalex.org/W2165796970"],"related_works":["https://openalex.org/W4386427838","https://openalex.org/W2889956472","https://openalex.org/W2911259277","https://openalex.org/W1982418987","https://openalex.org/W3178760882","https://openalex.org/W2908721991","https://openalex.org/W1556234160","https://openalex.org/W2039721451","https://openalex.org/W2053822900","https://openalex.org/W2766231676"],"abstract_inverted_index":{"Light":[0],"Detection":[1],"and":[2,66,79,137],"Ranging":[3],"(LiDAR)":[4],"is":[5],"a":[6],"technology":[7],"used":[8],"in":[9,26,30,89,102,123,130],"different":[10],"topic":[11],"(mapping,":[12],"urban":[13],"land":[14],"cover,":[15],"agriculture,":[16],"forestry,":[17],"etc.).":[18],"The":[19],"great":[20],"potential":[21],"of":[22,33,40,50,126],"LiDAR":[23,67,72,138],"data":[24,68,77,87,100,118],"lies":[25],"its":[27],"high":[28],"accuracy":[29],"the":[31,71,75,81,90,95,107,112,131,135],"measurement":[32],"heights.":[34],"Hyperspectral":[35],"images,":[36],"which":[37],"comprise":[38],"hundreds":[39],"(nearly":[41],"contiguous)":[42],"spectral":[43],"channels,":[44],"can":[45],"also":[46],"have":[47],"spatial":[48],"resolution":[49,109],"up":[51],"to":[52,62,74,104],"1-5":[53],"meters":[54],"per":[55],"pixel.":[56],"In":[57],"this":[58],"work,":[59],"we":[60,93],"propose":[61],"integrate":[63],"both":[64,86],"hyperspectral":[65,76,136],"by":[69],"adding":[70],"information":[73],"cube":[78],"correcting":[80],"geometric":[82],"distortions.":[83],"After":[84],"arranging":[85],"sets":[88],"same":[91],"format,":[92],"analyzed":[94],"errors":[96],"obtained":[97],"for":[98,116],"each":[99],"source":[101],"order":[103],"determine":[105],"if":[106],"final":[108],"adopted":[110],"was":[111],"most":[113],"appropriate":[114],"one":[115],"performing":[117],"fusion.":[119],"Our":[120],"experimental":[121],"results,":[122],"an":[124],"area":[125],"Extremadura,":[127],"indicate":[128],"improvements":[129],"classification":[132],"after":[133],"integrating":[134],"data.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}