{"id":"https://openalex.org/W4414199001","doi":"https://doi.org/10.1109/mmar65820.2025.11151062","title":"Lossless Compression of Hyperheight LiDAR Forested Landscapes Data","display_name":"Lossless Compression of Hyperheight LiDAR Forested Landscapes Data","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4414199001","doi":"https://doi.org/10.1109/mmar65820.2025.11151062"},"language":"en","primary_location":{"id":"doi:10.1109/mmar65820.2025.11151062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar65820.2025.11151062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR)","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/A5052610818","display_name":"\u0412\u0456\u043a\u0442\u043e\u0440 \u041c\u0430\u043a\u0430\u0440\u0456\u0447\u0435\u0432","orcid":"https://orcid.org/0000-0003-1481-9132"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Viktor Makarichev","raw_affiliation_strings":["National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":["National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112398099","display_name":"Irina Vasilyeva","orcid":null},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Irina Vasilyeva","raw_affiliation_strings":["National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University “KhAI”,Dept. of Information-Communication Technologies,Kharkiv,Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075075434","display_name":"Krzysztof Okarma","orcid":"https://orcid.org/0000-0002-6721-3241"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology in Szczecin","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Okarma","raw_affiliation_strings":["West Pomeranian University of Technology in Szczecin,Dept. of Signal Processing and Multimedia Engineering,Szczecin,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Pomeranian University of Technology in Szczecin,Dept. of Signal Processing and Multimedia Engineering,Szczecin,Poland","institution_ids":["https://openalex.org/I155313962"]}]},{"author_position":"middle","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":"Andres Ramirez-Jaime","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering,Newark,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering,Newark,USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","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":"Gonzalo R. Arce","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering,Newark,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering,Newark,USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19437756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9969000220298767,"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":0.9969000220298767,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/lossless-compression","display_name":"Lossless compression","score":0.8185999989509583},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6525999903678894},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6410999894142151},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6266999840736389},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5752000212669373},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.49079999327659607},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.47920000553131104},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.47269999980926514},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4223000109195709},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4174000024795532}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8185999989509583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843000054359436},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6525999903678894},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6410999894142151},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6266999840736389},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5752000212669373},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5593000054359436},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4174000024795532},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C2778864079","wikidata":"https://www.wikidata.org/wiki/Q173285","display_name":"Digital data","level":3,"score":0.3610999882221222},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33739998936653137},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C120938966","wikidata":"https://www.wikidata.org/wiki/Q5275845","display_name":"Digital Earth","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C66656319","wikidata":"https://www.wikidata.org/wiki/Q2638","display_name":"Golomb coding","level":5,"score":0.29100000858306885},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.2800000011920929},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C99695388","wikidata":"https://www.wikidata.org/wiki/Q350514","display_name":"Raised-relief map","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2547000050544739},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar65820.2025.11151062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar65820.2025.11151062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2974632372","display_name":null,"funder_award_id":"2023/05/Y/ST6/00197","funder_id":"https://openalex.org/F4320322650","funder_display_name":"Narodowym Centrum Nauki"},{"id":"https://openalex.org/G3510984865","display_name":null,"funder_award_id":"2404740","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322650","display_name":"Narodowym Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1970342366","https://openalex.org/W2023899670","https://openalex.org/W2141607694","https://openalex.org/W2568967893","https://openalex.org/W3003509779","https://openalex.org/W3025716207","https://openalex.org/W3035965352","https://openalex.org/W3156216502","https://openalex.org/W3186131558","https://openalex.org/W4200407972","https://openalex.org/W4214671570","https://openalex.org/W4225320889","https://openalex.org/W4313130090","https://openalex.org/W4385863980","https://openalex.org/W4391305861","https://openalex.org/W4391676180","https://openalex.org/W4391711299","https://openalex.org/W4393523743","https://openalex.org/W4397011628","https://openalex.org/W4397026453","https://openalex.org/W4399894838","https://openalex.org/W4400641600","https://openalex.org/W4401809840","https://openalex.org/W4403601927","https://openalex.org/W4403916690","https://openalex.org/W4404132941","https://openalex.org/W4405241901"],"related_works":[],"abstract_inverted_index":{"Light":[0],"detection":[1],"and":[2,14,18,59,81,102,110,140],"ranging":[3],"remote":[4],"sensing":[5],"technologies":[6],"have":[7],"a":[8,66,90,161,184],"lot":[9],"of":[10,27,41,56,69,74,78,84,93,123,149,186,205],"applications,":[11],"including":[12,134],"robotics":[13],"autonomous":[15],"vehicles,":[16],"archeology":[17],"meteorology,":[19],"geospatial":[20],"mapping,":[21],"etc.":[22],"They":[23],"provide":[24],"the":[25,39,53,79,82,85,121,147,157,190,199,202,206],"generation":[26],"3D":[28],"models,":[29],"in":[30],"particular,":[31],"forested":[32],"landscapes.":[33],"In":[34],"this":[35],"research,":[36],"we":[37,163],"consider":[38],"representation":[40],"objects":[42],"by":[43],"coined":[44],"hyper-height":[45],"data":[46,51,112],"cubes":[47],"(HHDCs).":[48],"HHDCs":[49,187],"contain":[50],"ensuring":[52],"simple":[54],"extraction":[55],"canopy":[57],"height":[58],"digital":[60,87],"terrain":[61],"models.":[62],"Each":[63],"HHDC":[64],"is":[65,170,209],"three-dimensional":[67],"tensor":[68],"non-negative":[70],"integers.":[71],"The":[72],"description":[73],"even":[75],"small":[76],"regions":[77],"Earth":[80],"construction":[83],"corresponding":[86],"model":[88],"use":[89],"significant":[91],"number":[92],"such":[94],"structures.":[95],"This":[96,127],"leads":[97],"to":[98],"great":[99],"memory,":[100],"time,":[101],"traffic":[103],"expenses":[104],"that":[105,172],"are":[106],"required":[107],"for":[108,156],"storing":[109],"transferring":[111],"via":[113],"communication":[114],"channels.":[115],"Data":[116],"compression":[117,132,207],"algorithms":[118],"frequently":[119],"address":[120],"issue":[122],"high":[124],"resource":[125],"costs.":[126],"paper":[128],"analyzes":[129],"several":[130],"lossless":[131],"methods,":[133],"bit":[135],"packing,":[136],"Golomb":[137],"codes":[138],"(GC),":[139],"run-length":[141],"encoding":[142],"(RLE),":[143],"as":[144,146],"well":[145],"possibility":[148],"their":[150],"combination,":[151],"together":[152],"with":[153,167],"experimental":[154],"verification":[155],"considered":[158,180],"application.":[159],"As":[160],"result,":[162],"suggest":[164],"combining":[165],"GC":[166],"RLE.":[168],"It":[169],"shown":[171],"it":[173],"ensures":[174],"higher":[175],"memory":[176],"savings":[177],"than":[178,211],"other":[179],"methods":[181],"when":[182],"compressing":[183],"set":[185],"simulated":[188],"using":[189],"Smithsonian":[191],"Environmental":[192],"Research":[193],"Center":[194],"NEON":[195],"data.":[196],"Depending":[197],"on":[198],"source":[200],"data,":[201],"median":[203],"value":[204],"ratio":[208],"greater":[210],"28.":[212]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}