{"id":"https://openalex.org/W4415147779","doi":"https://doi.org/10.1145/3748777.3748806","title":"Entropy-based Pre-filtering of High-density Forest Point Clouds for Individual Tree Detection Algorithms","display_name":"Entropy-based Pre-filtering of High-density Forest Point Clouds for Individual Tree Detection Algorithms","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4415147779","doi":"https://doi.org/10.1145/3748777.3748806"},"language":"en","primary_location":{"id":"doi:10.1145/3748777.3748806","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748777.3748806","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748777.3748806","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3748777.3748806","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025503902","display_name":"Kasparas Karlauskas","orcid":null},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":true,"raw_author_name":"Kasparas Karlauskas","raw_affiliation_strings":["Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania"],"raw_orcid":"https://orcid.org/0009-0007-1483-307X","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032107920","display_name":"Povilas Treigys","orcid":"https://orcid.org/0000-0002-6608-5508"},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Povilas Treigys","raw_affiliation_strings":["Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania"],"raw_orcid":"https://orcid.org/0000-0002-6608-5508","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025503902"],"corresponding_institution_ids":["https://openalex.org/I173212132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24881853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"140"},"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/T11880","display_name":"Forest ecology and management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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":0.9854000210762024,"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/point","display_name":"Point (geometry)","score":0.38960000872612},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.3824000060558319},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.29980000853538513},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.2937999963760376},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2842000126838684},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2671999931335449}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5310999751091003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4819999933242798},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44429999589920044},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33739998936653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3124000132083893},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2770000100135803},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748777.3748806","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748777.3748806","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748777.3748806","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748777.3748806","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748777.3748806","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748777.3748806","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415147779.pdf"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2188738748","https://openalex.org/W2884197231","https://openalex.org/W2913475014","https://openalex.org/W3196446346","https://openalex.org/W4399097381","https://openalex.org/W4405227657"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-14T00:00:00"}
