{"id":"https://openalex.org/W3014552097","doi":"https://doi.org/10.3390/rs12071078","title":"Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features","display_name":"Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features","publication_year":2020,"publication_date":"2020-03-27","ids":{"openalex":"https://openalex.org/W3014552097","doi":"https://doi.org/10.3390/rs12071078","mag":"3014552097"},"language":"en","primary_location":{"id":"doi:10.3390/rs12071078","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071078","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1078/pdf?version=1585617424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/7/1078/pdf?version=1585617424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002540574","display_name":"Zhenyu Ma","orcid":"https://orcid.org/0000-0001-6597-2298"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Zhenyu Ma","raw_affiliation_strings":["Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany","Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":"https://orcid.org/0000-0001-6597-2298","affiliations":[{"raw_affiliation_string":"Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008417937","display_name":"Yong Pang","orcid":"https://orcid.org/0000-0002-9760-6580"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Pang","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":"https://orcid.org/0000-0002-9760-6580","affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003870232","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-0232-8862"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["Department of Built Environment, Aalto University, 00076 Aalto, Finland"],"raw_orcid":"https://orcid.org/0000-0003-0232-8862","affiliations":[{"raw_affiliation_string":"Department of Built Environment, Aalto University, 00076 Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102745927","display_name":"Xiaojun Liang","orcid":"https://orcid.org/0000-0002-1617-6655"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Liang","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679036","display_name":"Bowei Chen","orcid":"https://orcid.org/0000-0002-6377-1094"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowei Chen","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0002-6377-1094","affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085440681","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0002-3083-4909"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-3083-4909","affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018331454","display_name":"Holger Weinacker","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Weinacker","raw_affiliation_strings":["Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032548899","display_name":"Barbara Koch","orcid":"https://orcid.org/0000-0002-1579-4064"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Barbara Koch","raw_affiliation_strings":["Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environment and Natural Resource, University of Freiburg, 79104 Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008417937"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":1421,"currency":"EUR","value_usd":1532},"fwci":2.4316,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.88089202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"7","first_page":"1078","last_page":"1078"},"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":0.9966999888420105,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9936000108718872,"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/segmentation","display_name":"Segmentation","score":0.6705568432807922},{"id":"https://openalex.org/keywords/larch","display_name":"Larch","score":0.6703693270683289},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.6238328218460083},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5822024941444397},{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.5650749206542969},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.549774706363678},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5357232689857483},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5058040618896484},{"id":"https://openalex.org/keywords/larix-kaempferi","display_name":"Larix kaempferi","score":0.48052868247032166},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47226110100746155},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3676171898841858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35763347148895264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35286158323287964},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3045945167541504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23644548654556274},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.14015927910804749},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12722769379615784},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.11541309952735901},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0851028561592102},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08126780390739441}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6705568432807922},{"id":"https://openalex.org/C2778551664","wikidata":"https://www.wikidata.org/wiki/Q25618","display_name":"Larch","level":2,"score":0.6703693270683289},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.6238328218460083},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5822024941444397},{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.5650749206542969},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.549774706363678},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5357232689857483},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5058040618896484},{"id":"https://openalex.org/C2778954545","wikidata":"https://www.wikidata.org/wiki/Q147439","display_name":"Larix kaempferi","level":3,"score":0.48052868247032166},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47226110100746155},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3676171898841858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35763347148895264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35286158323287964},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3045945167541504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23644548654556274},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.14015927910804749},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12722769379615784},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.11541309952735901},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0851028561592102},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08126780390739441},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs12071078","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071078","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1078/pdf?version=1585617424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/43677","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/97b6e9f7-e6ed-431f-965a-3aee0c8ef6e3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:f337ea0b39fb4626b64dc807d4aa3b55","is_oa":true,"landing_page_url":"https://doaj.org/article/f337ea0b39fb4626b64dc807d4aa3b55","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 7, p 1078 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/7/1078/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12071078","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 7; Pages: 1078","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12071078","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12071078","pdf_url":"https://www.mdpi.com/2072-4292/12/7/1078/pdf?version=1585617424","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1398365724","display_name":null,"funder_award_id":"2017YFD0600404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014552097.pdf","grobid_xml":"https://content.openalex.org/works/W3014552097.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W172260869","https://openalex.org/W1492020934","https://openalex.org/W1584308190","https://openalex.org/W1982788959","https://openalex.org/W1984956136","https://openalex.org/W1991540202","https://openalex.org/W1994823743","https://openalex.org/W1995262955","https://openalex.org/W1998634253","https://openalex.org/W2002326497","https://openalex.org/W2008031272","https://openalex.org/W2010371988","https://openalex.org/W2030359906","https://openalex.org/W2032413422","https://openalex.org/W2033827163","https://openalex.org/W2034933046","https://openalex.org/W2040827641","https://openalex.org/W2061427081","https://openalex.org/W2076712994","https://openalex.org/W2094605604","https://openalex.org/W2096579040","https://openalex.org/W2098084344","https://openalex.org/W2101907415","https://openalex.org/W2122920344","https://openalex.org/W2131058553","https://openalex.org/W2132097058","https://openalex.org/W2137933418","https://openalex.org/W2146974384","https://openalex.org/W2153785132","https://openalex.org/W2158411533","https://openalex.org/W2161746820","https://openalex.org/W2165148193","https://openalex.org/W2169059815","https://openalex.org/W2325115425","https://openalex.org/W2383860596","https://openalex.org/W2425812835","https://openalex.org/W2528637070","https://openalex.org/W2567416927","https://openalex.org/W2588926339","https://openalex.org/W2885035168","https://openalex.org/W3041319445","https://openalex.org/W4236521824","https://openalex.org/W6606982846","https://openalex.org/W6635269506","https://openalex.org/W6645820828","https://openalex.org/W6678293961","https://openalex.org/W6998817079"],"related_works":["https://openalex.org/W2361279732","https://openalex.org/W1492480533","https://openalex.org/W4237824937","https://openalex.org/W1994157518","https://openalex.org/W2777367420","https://openalex.org/W4292764132","https://openalex.org/W4309866973","https://openalex.org/W2978773352","https://openalex.org/W2317418618","https://openalex.org/W1487424150"],"abstract_inverted_index":{"The":[0,46,74,157],"detection":[1,31],"of":[2,51,61,71,81,93,105,112,121,124,130,153,163,190],"individual":[3,22],"trees":[4,125],"in":[5,141,161,170],"a":[6,20,87,154],"larch":[7,39],"plantation":[8,40],"could":[9],"improve":[10],"the":[11,52,62,67,82,100,116,122,127,136,150,180,193,198,208],"management":[12],"efficiency":[13],"and":[14,32,55,66,110,135,144,168,207],"production":[15],"prediction.":[16],"This":[17],"study":[18],"introduced":[19],"two-stage":[21,47],"tree":[23,72,117,137],"crown":[24],"(ITC)":[25],"segmentation":[26,48,147],"method":[27,49,182],"for":[28],"airborne":[29],"light":[30],"ranging":[33],"(LiDAR)":[34],"point":[35,151],"clouds,":[36],"focusing":[37],"on":[38,99,115],"forests":[41],"with":[42,173,188],"different":[43,174],"stem":[44,175],"densities.":[45,176],"consists":[50],"region":[53,63,88,194],"growing":[54,64,89,195],"morphology":[56,69],"segmentation,":[57],"which":[58],"combines":[59],"advantages":[60],"characteristics":[65],"detailed":[68],"structures":[70],"crowns.":[73],"framework":[75],"comprises":[76],"five":[77],"steps:":[78],"(1)":[79],"determination":[80,120],"initial":[83],"dominant":[84],"segments":[85,94],"using":[86,126,191],"algorithm,":[90,196],"(2)":[91],"identification":[92],"to":[95,148,205,214],"be":[96],"redefined":[97],"based":[98,114],"2D":[101],"hull":[102],"convex":[103],"area":[104],"each":[106,142],"segment,":[107],"(3)":[108],"establishment":[109],"selection":[111],"profiles":[113],"structures,":[118],"(4)":[119],"number":[123],"correlation":[128],"coefficient":[129],"residuals":[131],"between":[132],"Gaussian":[133],"fitting":[134],"canopy":[138],"shape":[139],"described":[140],"profile,":[143],"(5)":[145],"k-means":[146],"obtain":[149],"cloud":[152],"single":[155],"tree.":[156],"accuracy":[158],"was":[159],"evaluated":[160],"terms":[162],"correct":[164,199],"matching,":[165],"recall,":[166],"precision,":[167],"F-score":[169],"eight":[171],"plots":[172],"Results":[177],"showed":[178],"that":[179,189],"proposed":[181],"significantly":[183],"increased":[184,202,211],"ITC":[185],"detections":[186],"compared":[187],"only":[192],"where":[197],"matching":[200],"rate":[201],"from":[203,212],"73.5%":[204],"86.1%,":[206],"recall":[209],"value":[210],"0.78":[213],"0.89.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2020-04-10T00:00:00"}