{"id":"https://openalex.org/W3008390414","doi":"https://doi.org/10.1109/bigdata47090.2019.9005548","title":"Learning and Recognizing Archeological Features from LiDAR Data","display_name":"Learning and Recognizing Archeological Features from LiDAR Data","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008390414","doi":"https://doi.org/10.1109/bigdata47090.2019.9005548","mag":"3008390414"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.02099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034296562","display_name":"Conrad M Albrecht","orcid":"https://orcid.org/0009-0009-2422-7289"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Conrad M Albrecht","raw_affiliation_strings":["TJ Watson Research Center, IBM Research Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"TJ Watson Research Center, IBM Research Yorktown Heights, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073487080","display_name":"Chris Fisher","orcid":null},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Fisher","raw_affiliation_strings":["Department of Antropology & Geography, Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Department of Antropology & Geography, Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004915957","display_name":"Marcus Freitag","orcid":"https://orcid.org/0009-0009-0356-7057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcus Freitag","raw_affiliation_strings":["TJ Watson Research Center, IBM Research Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"TJ Watson Research Center, IBM Research Yorktown Heights, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048701479","display_name":"Hendrik F. Hamann","orcid":"https://orcid.org/0000-0001-9049-1330"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hendrik F Hamann","raw_affiliation_strings":["TJ Watson Research Center, IBM Research Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"TJ Watson Research Center, IBM Research Yorktown Heights, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112452536","display_name":"Sharathchandra Pankanti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharathchandra Pankanti","raw_affiliation_strings":["TJ Watson Research Center, IBM Research Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"TJ Watson Research Center, IBM Research Yorktown Heights, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083883283","display_name":"Florencia Pezzutti","orcid":null},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florencia Pezzutti","raw_affiliation_strings":["Department of Antropology & Geography, Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Department of Antropology & Geography, Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030075938","display_name":"Francesca Rossi","orcid":"https://orcid.org/0000-0003-1928-9193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesca Rossi","raw_affiliation_strings":["TJ Watson Research Center, IBM Research Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"TJ Watson Research Center, IBM Research Yorktown Heights, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034296562"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8194,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97240341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5630","last_page":"5636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12364","display_name":"Archaeological Research and Protection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12364","display_name":"Archaeological Research and Protection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12981","display_name":"Conservation Techniques and Studies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8208274841308594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7673102617263794},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6970565915107727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779024958610535},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.529766857624054},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4792644679546356},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47907787561416626},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4416664242744446},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42618703842163086},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41476017236709595},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15371137857437134}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8208274841308594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673102617263794},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6970565915107727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779024958610535},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.529766857624054},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4792644679546356},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47907787561416626},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4416664242744446},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42618703842163086},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41476017236709595},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15371137857437134},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.02099","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.02099","pdf_url":"https://arxiv.org/pdf/2004.02099","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.02099","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.02099","pdf_url":"https://arxiv.org/pdf/2004.02099","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1976526581","https://openalex.org/W1996648577","https://openalex.org/W2017167989","https://openalex.org/W2038184042","https://openalex.org/W2064186449","https://openalex.org/W2074471048","https://openalex.org/W2083281122","https://openalex.org/W2102182969","https://openalex.org/W2136396015","https://openalex.org/W2152482502","https://openalex.org/W2202100984","https://openalex.org/W2213196136","https://openalex.org/W2323766051","https://openalex.org/W2406282705","https://openalex.org/W2514594497","https://openalex.org/W2583417742","https://openalex.org/W2738606944","https://openalex.org/W2793222099","https://openalex.org/W2893644756","https://openalex.org/W2920372440","https://openalex.org/W3008390414","https://openalex.org/W3085610768","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W4312958259","https://openalex.org/W2103009189","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4388446985"],"abstract_inverted_index":{"We":[0,66,132],"present":[1],"a":[2,68,85,113,142],"remote":[3],"sensing":[4],"pipeline":[5,71],"that":[6,72],"processes":[7],"LiDAR":[8,52,121],"(Light":[9],"Detection":[10],"And":[11],"Ranging)":[12],"data":[13,29,53],"through":[14],"machine":[15],"&":[16],"deep":[17],"learning":[18],"for":[19,61],"the":[20,43,64,89,146],"application":[21],"of":[22,45,50,59,79,88,116,129],"archeological":[23,139],"feature":[24],"detection":[25],"on":[26,63,105,154],"big":[27],"geo-spatial":[28,136],"platforms":[30],"such":[31],"as":[32],"e.g.":[33],"IBM":[34],"PAIRS":[35],"Geoscope":[36],"[1],":[37],"[2].Today,":[38],"archeologists":[39],"get":[40],"overwhelmed":[41],"by":[42,112],"task":[44],"visually":[46],"surveying":[47],"huge":[48],"amounts":[49],"(raw)":[51],"in":[54,74,77,96,141],"order":[55],"to":[56,124,149],"identify":[57],"areas":[58,137],"interest":[60],"inspection":[62],"ground.":[65],"showcase":[67],"software":[69],"system":[70],"results":[73],"significant":[75],"savings":[76],"terms":[78],"expert":[80,148],"productivity":[81],"while":[82],"missing":[83],"only":[84],"small":[86],"fraction":[87],"artifacts.Our":[90],"work":[91],"employs":[92],"artificial":[93],"neural":[94],"networks":[95],"conjunction":[97],"with":[98,138],"an":[99],"efficient":[100],"spatial":[101],"segmentation":[102],"procedure":[103],"based":[104,153],"domain":[106,147],"knowledge.":[107],"Data":[108],"processing":[109],"is":[110],"constraint":[111],"limited":[114],"amount":[115],"training":[117],"labels":[118],"and":[119,127],"noisy":[120],"signals":[122],"due":[123],"vegetation":[125],"cover":[126],"decay":[128],"ancient":[130],"structures.":[131],"aim":[133],"at":[134],"identifying":[135],"artifacts":[140],"supervised":[143],"fashion":[144],"allowing":[145],"flexibly":[150],"tune":[151],"parameters":[152],"her":[155],"needs.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}