{"id":"https://openalex.org/W2140868313","doi":"https://doi.org/10.1109/lgrs.2013.2247022","title":"Radiometric Correction of Terrestrial LiDAR Point Cloud Data for Individual Maize Plant Detection","display_name":"Radiometric Correction of Terrestrial LiDAR Point Cloud Data for Individual Maize Plant Detection","publication_year":2013,"publication_date":"2013-03-20","ids":{"openalex":"https://openalex.org/W2140868313","doi":"https://doi.org/10.1109/lgrs.2013.2247022","mag":"2140868313"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2247022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2247022","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/6658878/06482592.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/8859/6658878/06482592.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073592854","display_name":"Bernhard H\u00f6fle","orcid":"https://orcid.org/0000-0001-5849-1461"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Bernhard Hofle","raw_affiliation_strings":["Chair of GIScience, University of Heidelberg, Heidelberg, Germany","Department of GIScience, University of Heidelberg, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of GIScience, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"Department of GIScience, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5073592854"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.2493,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98594445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"94","last_page":"98"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8446296453475952},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7595010995864868},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6598522067070007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.53041011095047},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.5145177841186523},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45525041222572327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33877259492874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3383070230484009},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1761951744556427}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8446296453475952},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7595010995864868},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6598522067070007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53041011095047},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5145177841186523},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45525041222572327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33877259492874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3383070230484009},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1761951744556427},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2247022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2247022","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/6658878/06482592.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lgrs.2013.2247022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2247022","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/6658878/06482592.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320881","display_name":"Universit\u00e4t Heidelberg","ror":"https://ror.org/038t36y30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2140868313.pdf","grobid_xml":"https://content.openalex.org/works/W2140868313.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1966308269","https://openalex.org/W1970325907","https://openalex.org/W1984792953","https://openalex.org/W1992216528","https://openalex.org/W1993457928","https://openalex.org/W2001431520","https://openalex.org/W2006305514","https://openalex.org/W2022414935","https://openalex.org/W2025226910","https://openalex.org/W2033908379","https://openalex.org/W2037282532","https://openalex.org/W2046497274","https://openalex.org/W2049768161","https://openalex.org/W2069619122","https://openalex.org/W2086461898","https://openalex.org/W2089915976","https://openalex.org/W2093385295","https://openalex.org/W2094699110","https://openalex.org/W2097808025","https://openalex.org/W2123986772","https://openalex.org/W2144144787","https://openalex.org/W2148900376","https://openalex.org/W2162456434","https://openalex.org/W2738801284","https://openalex.org/W2794150781","https://openalex.org/W6642683422","https://openalex.org/W6674325081","https://openalex.org/W6741526280","https://openalex.org/W6750084823","https://openalex.org/W6899340217"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W3011451421","https://openalex.org/W2012196540","https://openalex.org/W196913356","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Detailed":[0],"geoinformation":[1],"on":[2,111],"in-field":[3],"variations":[4],"of":[5,51,62,65,70,79,117],"plant":[6,23,44,84],"properties":[7],"(e.g.,":[8],"density,":[9],"height)":[10],"is":[11,97],"required":[12],"in":[13],"precision":[14],"agriculture":[15],"and":[16,26,48,74,95,107,152],"serves":[17],"as":[18],"a":[19,33,60,76,105],"valuable":[20],"input":[21],"for":[22,36,41],"growth":[24],"models":[25],"crop":[27],"management":[28],"strategies.":[29],"This":[30],"letter":[31],"presents":[32],"novel":[34],"workflow":[35,132],"object-based":[37],"point":[38,92,113,142,155],"cloud":[39,93],"analysis":[40],"individual":[42],"maize":[43,83],"mapping,":[45],"using":[46],"radiometric":[47,57],"geometric":[49],"features":[50],"terrestrial":[52],"laser":[53],"scanning.":[54],"The":[55,87,126],"performed":[56],"correction":[58],"achieves":[59],"reduction":[61],"amplitude":[63],"variation":[64,73],"homogeneous":[66,154],"areas":[67],"to":[68,99,135],"1/3":[69],"the":[71,80,130],"original":[72],"offers":[75],"distinct":[77],"separability":[78],"target":[81],"class":[82],"from":[85],"soil.":[86],"developed":[88,131],"procedure,":[89],"including":[90],"3-D":[91],"filtering":[94],"segmentation,":[96],"able":[98],"reliably":[100],"detect":[101],"single":[102],"plants":[103],"with":[104,140,148],"completeness":[106],"correctness":[108],".":[109],"Experiments":[110],"reduced":[112],"densities":[114],"show":[115],"stability":[116],"detection":[118,138],"rates":[119],"above":[120],"100":[121],"points":[122],"per":[123],"0.01":[124],"m2.":[125],"results":[127],"indicate":[128],"that":[129],"will":[133],"lead":[134],"even":[136],"higher":[137],"accuracy":[139],"LiDAR":[141],"clouds":[143],"captured":[144],"by":[145],"mobile":[146],"platforms,":[147],"less":[149],"occlusion":[150],"effects":[151],"more":[153],"density.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}