{"id":"https://openalex.org/W7169100718","doi":"https://doi.org/10.5281/zenodo.21379785","title":"DL4Lidar model weights - Mask R-CNN Based Model Weights for Atmospheric Semantic Segmentation Using Lidar Range-Corrected Signal Measurements","display_name":"DL4Lidar model weights - Mask R-CNN Based Model Weights for Atmospheric Semantic Segmentation Using Lidar Range-Corrected Signal Measurements","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7169100718","doi":"https://doi.org/10.5281/zenodo.21379785"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.21379785","doi":"https://doi.org/10.5281/zenodo.21379785","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21379785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Model"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.21379785","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001908829","display_name":"Adri\u00e1n Canella-Ortiz","orcid":"https://orcid.org/0009-0005-8949-1364","observed_orcids":["https://orcid.org/0009-0005-8949-1364"]},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Canella-Ortiz, Adri\u00e1n","raw_affiliation_strings":["Andalusian Institute for Earth System Research (IISTA)","Department of Applied Physics, University of Granada","Department of Computer Science and Artificial Intelligence, University of Granada"],"raw_orcid":"https://orcid.org/0009-0005-8949-1364","affiliations":[{"raw_affiliation_string":"Andalusian Institute for Earth System Research (IISTA)","institution_ids":[]},{"raw_affiliation_string":"Department of Applied Physics, University of Granada","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057876711","display_name":"Siham Tabik","orcid":"https://orcid.org/0000-0003-4093-5356","observed_orcids":["https://orcid.org/0000-0003-4093-5356"]},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Tabik, Siham","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada","Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada"],"raw_orcid":"https://orcid.org/0000-0003-4093-5356","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081837646","display_name":"Ana del \u00c1guila","orcid":"https://orcid.org/0000-0001-9006-9631","observed_orcids":["https://orcid.org/0000-0001-9006-9631"]},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"del \u00c1guila, Ana","raw_affiliation_strings":["Andalusian Institute for Earth System Research (IISTA)","Department of Applied Physics, University of Granada"],"raw_orcid":"https://orcid.org/0000-0001-9006-9631","affiliations":[{"raw_affiliation_string":"Andalusian Institute for Earth System Research (IISTA)","institution_ids":[]},{"raw_affiliation_string":"Department of Applied Physics, University of Granada","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.6714000105857849,"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"}},"topics":[{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.6714000105857849,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.26170000433921814,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.01549999974668026,"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/aerosol-detection","display_name":"aerosol detection","score":0.9330000281333923},{"id":"https://openalex.org/keywords/cloud-detection","display_name":"cloud detection","score":0.9900000095367432},{"id":"https://openalex.org/keywords/ground-based-lidar","display_name":"ground-based lidar","score":0.9120000004768372},{"id":"https://openalex.org/keywords/mask-r-cnn","display_name":"Mask R-CNN","score":0.9919999837875366},{"id":"https://openalex.org/keywords/deep-learning-model-weights","display_name":"deep learning model weights","score":0.6299999952316284}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8489999771118164},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7009000182151794},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6243000030517578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190999746322632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525000095367432},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.34860000014305115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3431999981403351},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.21379785","doi":"https://doi.org/10.5281/zenodo.21379785","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21379785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Model"},{"id":"doi:10.5281/zenodo.21379786","doi":"https://doi.org/10.5281/zenodo.21379786","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21379786","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Model"}],"best_oa_location":{"id":"doi:10.5281/zenodo.21379785","doi":"https://doi.org/10.5281/zenodo.21379785","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21379785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Model"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G120205872","display_name":null,"funder_award_id":"PID2023.151668OB.I00","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G122652679","display_name":null,"funder_award_id":"PID2023-151817OA-I00","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G1456629036","display_name":null,"funder_award_id":"DGP_PIDI_2024_01698","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"},{"id":"https://openalex.org/G5064323324","display_name":null,"funder_award_id":"PID2023\u2013147483OB-I00","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G8823932297","display_name":null,"funder_award_id":"RED2024-153891-E","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"}],"funders":[{"id":"https://openalex.org/F4320309764","display_name":"Fundaci\u00f3n BBVA","ror":"https://ror.org/01jzs3b90"},{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7165802377","https://openalex.org/W7166095774","https://openalex.org/W7135220834","https://openalex.org/W6894055049","https://openalex.org/W7169795052","https://openalex.org/W4413128236","https://openalex.org/W7140236513","https://openalex.org/W6902141184","https://openalex.org/W3002594015","https://openalex.org/W7211924323"],"abstract_inverted_index":{"This":[0],"record":[1],"contains":[2,56],"the":[3,8,31,48,60,67,73,90,102,105,113],"trained":[4,46],"model":[5,100],"weights":[6,28],"for":[7,13,134],"Mask":[9],"R-CNN":[10],"architecture":[11],"optimized":[12],"atmospheric":[14],"semantic":[15],"segmentation":[16],"(aerosol":[17],"and":[18,37,62,81,127,136,141,149],"cloud":[19],"detection)":[20],"in":[21,39,108,139],"ground-based":[22],"lidar":[23,64],"range-corrected":[24],"signal":[25],"images.":[26],"These":[27],"correspond":[29],"to":[30],"deep":[32],"learning":[33],"models":[34],"presented,":[35],"validated,":[36],"evaluated":[38],"Canella-Ortiz":[40],"et":[41],"al.":[42],"(2026).":[43],"They":[44],"were":[45],"using":[47],"companion":[49],"DL4Lidar":[50],"dataset":[51],"(available":[52],"at":[53,66,94],"https://zenodo.org/records/20156234),":[54],"which":[55],"data":[57],"collected":[58],"from":[59],"ALHAMBRA":[61],"MULHACEN":[63],"instruments":[65],"UGR":[68],"station":[69],"(Granada,":[70],"Spain).":[71],"For":[72],"complete":[74],"source":[75],"code,":[76],"training":[77],"workflows,":[78],"configuration":[79],"files,":[80],"inference":[82],"scripts":[83],"associated":[84],"with":[85],"these":[86,99],"weights,":[87,101],"please":[88,111],"visit":[89],"official":[91],"GitHub":[92],"repository":[93,106],"https://github.com/acanort/DL4Lidar.":[95],"If":[96],"you":[97],"use":[98],"dataset,":[103],"or":[104],"code":[107],"your":[109],"research,":[110],"cite":[112],"corresponding":[114],"journal":[115],"article:":[116],"A.":[117,128],"Canella-Ortiz,":[118],"S.":[119,121],"Tabik,":[120],"Fern\u00e1ndez-Carvelo,":[122],"O.":[123],"Rodr\u00edguez-Navarro,":[124],"L.":[125],"Alados-Arboledas":[126],"del":[129],"\u00c1guila,":[130],"\"Generalizable":[131],"Deep":[132],"Learning":[133],"Aerosol":[135],"Cloud":[137],"Segmentation":[138],"Ground-Based":[140],"Spaceborne":[142],"Lidar":[143],"Observations\",":[144],"IEEE":[145],"Transactions":[146],"on":[147],"Geoscience":[148],"Remote":[150],"Sensing,":[151],"DOI:":[152],"10.1109/TGRS.2026.3707646.":[153]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-17T00:00:00"}