{"id":"https://openalex.org/W4387829036","doi":"https://doi.org/10.1109/igarss52108.2023.10281718","title":"HyperHeight Lidar Compressive Sampling and Machine Learning Reconstruction of Forested Landscapes","display_name":"HyperHeight Lidar Compressive Sampling and Machine Learning Reconstruction of Forested Landscapes","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387829036","doi":"https://doi.org/10.1109/igarss52108.2023.10281718"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281718","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5070614665","display_name":"Andr\u00e9s Ram\u00edrez-Jaime","orcid":"https://orcid.org/0000-0002-9215-5426"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Ramirez-Jaime","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033581148","display_name":"Karelia Pena-Pena","orcid":"https://orcid.org/0000-0001-8214-6852"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Pena-Pena","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005357824","display_name":"Gonzalo R. Arce","orcid":"https://orcid.org/0000-0001-7163-7111"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. R. Arce","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102860548","display_name":"David J. Harding","orcid":"https://orcid.org/0000-0002-9342-6777"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Harding","raw_affiliation_strings":["NASA's Goddard Space Flight Center (GSFC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA's Goddard Space Flight Center (GSFC)","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030413923","display_name":"Mark Stephen","orcid":"https://orcid.org/0009-0007-9898-2688"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Stephen","raw_affiliation_strings":["NASA's Goddard Space Flight Center (GSFC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA's Goddard Space Flight Center (GSFC)","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056058577","display_name":"James MacKinnon","orcid":null},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. MacKinnon","raw_affiliation_strings":["NASA's Goddard Space Flight Center (GSFC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA's Goddard Space Flight Center (GSFC)","institution_ids":["https://openalex.org/I1306266525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2272,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51183265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"4974","last_page":"4977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9901000261306763,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.931929349899292},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.8249673247337341},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6518685817718506},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.6425119638442993},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.641693651676178},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6344557404518127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5664671063423157},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5148162245750427},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46525436639785767},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33089083433151245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.291953980922699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2599700391292572},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24729570746421814},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20326918363571167},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.13300228118896484},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11671295762062073}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.931929349899292},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8249673247337341},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6518685817718506},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.6425119638442993},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.641693651676178},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6344557404518127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5664671063423157},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5148162245750427},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46525436639785767},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33089083433151245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.291953980922699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2599700391292572},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24729570746421814},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20326918363571167},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.13300228118896484},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11671295762062073},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281718","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1979449170","https://openalex.org/W1983385967","https://openalex.org/W2119667497","https://openalex.org/W2151700361","https://openalex.org/W2504508893","https://openalex.org/W3159299770","https://openalex.org/W4308348223","https://openalex.org/W4312756355"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W2956374172","https://openalex.org/W1964041166","https://openalex.org/W4210818033","https://openalex.org/W4221065211","https://openalex.org/W1969266378"],"abstract_inverted_index":{"Low-altitude":[0],"airborne":[1,161],"lidars":[2,21],"deliver":[3],"high":[4],"spatial":[5,51],"resolution":[6,30,52],"swath":[7,84,121],"mapping":[8],"using":[9],"dense":[10,72,114],"laser":[11],"footprint":[12,73],"sampling":[13,24],"but":[14,25],"only":[15],"in":[16],"limited":[17],"areas,":[18],"while":[19],"satellite":[20,42,166],"offer":[22,129],"global":[23],"are":[26,103,126],"hampered":[27],"by":[28,53],"low":[29,50],"due":[31],"to":[32,41,47,64,89,105,112],"sparse":[33],"footprints.":[34],"This":[35],"work":[36],"presents":[37],"a":[38,65,83,86,117,130,139],"novel":[39],"approach":[40],"lidar":[43,69,109,182],"remote":[44],"sensing":[45,59,76],"designed":[46],"address":[48],"the":[49,55,78,91,98,107,135,149,174,177,180],"leveraging":[54],"principles":[56],"of":[57,71,80,93,132,138,152,165,179],"compressive":[58,108],"and":[60,116,148,163],"machine":[61],"learning":[62,101],"applied":[63],"highly":[66],"efficient,":[67],"adaptive":[68],"capable":[70],"sampling.":[74],"Compressive":[75],"enables":[77],"distribution":[79],"footprints":[81],"across":[82,173],"with":[85],"density":[87],"appropriate":[88],"recover":[90],"features":[92],"interest,":[94],"without":[95],"unnecessarily":[96],"oversampling":[97],"terrain.":[99],"Machine":[100],"techniques":[102],"employed":[104],"reconstruct":[106],"measurements,":[110],"leading":[111],"high-resolution,":[113],"coverage,":[115],"broad":[118],"field-of-view":[119],"per":[120],"pass.":[122],"HyperHeight":[123],"Data":[124],"Cubes":[125],"introduced,":[127],"which":[128],"wealth":[131],"information":[133],"about":[134],"3D":[136],"structure":[137],"scene,":[140],"including":[141],"digital":[142],"surface":[143],"models,":[144],"canopy":[145],"height":[146],"models":[147],"internal":[150],"organization":[151],"canopies.":[153],"Training":[154],"data":[155],"was":[156],"obtained":[157],"from":[158],"NASA's":[159],"G-LiHT":[160],"lidar,":[162],"simulations":[164],"observations":[167],"performed":[168],"on":[169],"various":[170],"forest":[171],"types":[172],"US":[175],"demonstrate":[176],"efficacy":[178],"new":[181],"imaging":[183],"approach.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}