{"id":"https://openalex.org/W1964671924","doi":"https://doi.org/10.1109/igarss.2013.6723560","title":"Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery","display_name":"Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1964671924","doi":"https://doi.org/10.1109/igarss.2013.6723560","mag":"1964671924"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5101887104","display_name":"Hongzhou Wang","orcid":"https://orcid.org/0000-0002-3029-851X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhou Wang","raw_affiliation_strings":["University of Houston","University of Houston; Houston, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston; Houston, TX USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034472952","display_name":"Craig Glennie","orcid":"https://orcid.org/0000-0003-1570-0889"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Glennie","raw_affiliation_strings":["University of Houston","University of Houston; Houston, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston; Houston, TX USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["University of Houston","University of Houston; Houston, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston; Houston, TX USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3407","last_page":"3410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":0.9983999729156494,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996999979019165,"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/waveform","display_name":"Waveform","score":0.884372353553772},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6878337860107422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667271852493286},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5561879277229309},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5358738899230957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4776393473148346},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4618571996688843},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4613056778907776},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.44696474075317383},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44599324464797974},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.42735356092453003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4008467197418213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18816179037094116},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13249337673187256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09191441535949707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07234382629394531},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.06351545453071594}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.884372353553772},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6878337860107422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667271852493286},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5561879277229309},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5358738899230957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4776393473148346},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4618571996688843},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4613056778907776},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.44696474075317383},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44599324464797974},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.42735356092453003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4008467197418213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18816179037094116},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13249337673187256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09191441535949707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07234382629394531},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.06351545453071594},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337403","display_name":"Division of Earth Sciences","ror":"https://ror.org/05v01mk25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1976723446","https://openalex.org/W1987367914","https://openalex.org/W1990077509","https://openalex.org/W2001618165","https://openalex.org/W2060588344","https://openalex.org/W2069231830","https://openalex.org/W2143132877","https://openalex.org/W2165796970","https://openalex.org/W2500876844"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4308259661","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"Current":[0],"research":[1],"into":[2,75,86],"the":[3,22,47,53,72,100,110,134,148],"fusion":[4,54,122],"of":[5,31,93,112,119,123],"Hyperspectral":[6],"Imagery":[7],"(HI)":[8],"and":[9,15,77,121],"full":[10,23],"waveform":[11,24,49,73,102,108,129],"LiDAR":[12,25,107],"(Light":[13],"detection":[14],"ranging)":[16],"has":[17],"relied":[18],"on":[19,137],"first":[20],"processing":[21],"(FWL)":[26],"data":[27,67,74,125,136],"to":[28,63],"a":[29,60,84,138],"set":[30],"discrete":[32],"returns":[33],"before":[34],"combining.":[35],"However,":[36],"more":[37],"information":[38],"about":[39],"target":[40],"properties":[41],"can":[42,126,143],"potentially":[43],"be":[44,144],"recovered":[45],"if":[46],"raw":[48,65,128],"is":[50,96],"preserved":[51],"in":[52],"with":[55,68,103,147],"HI.":[56,149],"This":[57],"paper":[58],"proposes":[59],"voxelization":[61],"method":[62,95,118],"fuse":[64],"FWL":[66,124,135],"HI":[69],"by":[70,98],"dividing":[71],"voxels,":[76],"then":[78],"synthesizing":[79],"all":[80],"waveforms":[81],"which":[82],"intersect":[83],"voxel":[85,111],"one":[87],"3D":[88,139],"superposition":[89],"waveform.":[90],"The":[91],"efficacy":[92],"this":[94,117],"evaluated":[97],"comparing":[99],"synthesized":[101],"an":[104],"actual":[105],"nadir":[106],"from":[109],"interest.":[113],"Results":[114],"show":[115],"that":[116,142],"voxelizing":[120],"preserve":[127],"characteristics":[130],"while":[131],"effectively":[132],"representing":[133],"raster":[140],"basis":[141],"directly":[145],"co-registered":[146]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
