{"id":"https://openalex.org/W4386542049","doi":"https://doi.org/10.3390/rs15184420","title":"A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism","display_name":"A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386542049","doi":"https://doi.org/10.3390/rs15184420"},"language":"en","primary_location":{"id":"doi:10.3390/rs15184420","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184420","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4420/pdf?version=1694154896","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/2072-4292/15/18/4420/pdf?version=1694154896","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113276382","display_name":"Lujin Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujin Lv","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060255447","display_name":"Xuejian Li","orcid":"https://orcid.org/0000-0002-7553-2576"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejian Li","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022022551","display_name":"Fangjie Mao","orcid":"https://orcid.org/0000-0003-2005-3452"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjie Mao","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071145197","display_name":"Lv Zhou","orcid":"https://orcid.org/0000-0002-9349-6265"},"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/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Zhou","raw_affiliation_strings":["Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070825794","display_name":"Jie Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xuan","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102216129","display_name":"Yinyin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinyin Zhao","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111245978","display_name":"Jiacong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacong Yu","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112956465","display_name":"Meixuan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixuan Song","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101670806","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-0502-168X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006691049","display_name":"Huaqiang Du","orcid":"https://orcid.org/0000-0002-6765-2279"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaqiang Du","raw_affiliation_strings":["Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5006691049"],"corresponding_institution_ids":["https://openalex.org/I1284762954"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.6026,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95570542,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"18","first_page":"4420","last_page":"4420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8090457916259766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7275606989860535},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.643076479434967},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6007811427116394},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.540250301361084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5279570817947388},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45105165243148804},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4495030641555786},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4289941191673279},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42695847153663635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4164772629737854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3929775059223175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08997419476509094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090457916259766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7275606989860535},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.643076479434967},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6007811427116394},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.540250301361084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5279570817947388},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45105165243148804},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4495030641555786},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4289941191673279},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42695847153663635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4164772629737854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3929775059223175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08997419476509094},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":3,"locations":[{"id":"doi:10.3390/rs15184420","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184420","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4420/pdf?version=1694154896","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:doaj.org/article:eaf06cd5fa9c46eb905896d9fae0d7e4","is_oa":true,"landing_page_url":"https://doaj.org/article/eaf06cd5fa9c46eb905896d9fae0d7e4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 18, p 4420 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/18/4420/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15184420","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15184420","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184420","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4420/pdf?version=1694154896","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3497438061","display_name":null,"funder_award_id":"32201553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3664868932","display_name":null,"funder_award_id":"32171785","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386542049.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1980529944","https://openalex.org/W1994434338","https://openalex.org/W2078073057","https://openalex.org/W2090040236","https://openalex.org/W2098469025","https://openalex.org/W2122511043","https://openalex.org/W2144506857","https://openalex.org/W2151108073","https://openalex.org/W2155714399","https://openalex.org/W2156163116","https://openalex.org/W2165698076","https://openalex.org/W2174505781","https://openalex.org/W2194775991","https://openalex.org/W2418691539","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2752278344","https://openalex.org/W2884585870","https://openalex.org/W2890862129","https://openalex.org/W2892349744","https://openalex.org/W2896206172","https://openalex.org/W2914321566","https://openalex.org/W2917901091","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2964719074","https://openalex.org/W2978985845","https://openalex.org/W2984960453","https://openalex.org/W3008439211","https://openalex.org/W3015352266","https://openalex.org/W3038016698","https://openalex.org/W3042011474","https://openalex.org/W3081291579","https://openalex.org/W3108562857","https://openalex.org/W3124539583","https://openalex.org/W3130671418","https://openalex.org/W3131542065","https://openalex.org/W3132342445","https://openalex.org/W3137256305","https://openalex.org/W3156809691","https://openalex.org/W3159885298","https://openalex.org/W3175739619","https://openalex.org/W3179560844","https://openalex.org/W3191156225","https://openalex.org/W3200676841","https://openalex.org/W3216353953","https://openalex.org/W3216361804","https://openalex.org/W4200608469","https://openalex.org/W4206617687","https://openalex.org/W4213059695","https://openalex.org/W4220957668","https://openalex.org/W4221010126","https://openalex.org/W4225899013","https://openalex.org/W4280576422","https://openalex.org/W4280605039","https://openalex.org/W4283029931","https://openalex.org/W4283383339","https://openalex.org/W4312192694","https://openalex.org/W4367052076","https://openalex.org/W4377022413","https://openalex.org/W4382563624","https://openalex.org/W4382706243","https://openalex.org/W6805295461","https://openalex.org/W6810662934","https://openalex.org/W6839154223","https://openalex.org/W6853628044"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3099765033","https://openalex.org/W2997155179"],"abstract_inverted_index":{"Accurate":[0],"individual":[1,43,142,232,253],"tree":[2,143,233,254],"detection":[3,28,137,144],"by":[4,157],"unmanned":[5],"aerial":[6,149],"vehicles":[7],"(UAVs)":[8],"is":[9,256,259,284],"a":[10,60,94,104,167,208],"critical":[11],"technique":[12],"for":[13,22,117,169,252,294],"smart":[14],"forest":[15,48,210,213],"management":[16],"and":[17,29,41,102,120,139,159,171,193,217,223,262,272],"serves":[18],"as":[19,50,52],"the":[20,33,67,73,81,89,112,126,131,152,160,178,201,224,240,245,280,295,308],"foundation":[21],"evaluating":[23],"ecological":[24],"functions.":[25],"Existing":[26],"object":[27],"segmentation":[30,55,122,226,234,242,281,291,300,313],"methods,":[31],"on":[32,66,200,235],"other":[34],"hand,":[35],"have":[36],"reduced":[37],"accuracy":[38],"when":[39],"detecting":[40],"segmenting":[42],"trees":[44],"in":[45,88,298,314],"complicated":[46],"urban":[47],"landscapes,":[49],"well":[51],"poor":[53],"mask":[54],"quality.":[56],"This":[57],"study":[58,153],"proposes":[59],"novel":[61],"Mask-CSP-attention-coupled":[62],"network":[63,91,115,227,310],"(MCAN)":[64],"based":[65],"Mask":[68,179,268,278],"R-CNN":[69],"algorithm.":[70],"MCAN":[71],"uses":[72],"Cross":[74,96],"Stage":[75,97],"Partial":[76,98],"Net":[77,100],"(CSPNet)":[78],"framework":[79],"with":[80,177],"Sigmoid":[82],"Linear":[83],"Unit":[84],"(SiLU)":[85],"activation":[86],"function":[87],"backbone":[90],"to":[92,111,123,165,230,238,277,304],"form":[93],"new":[95],"Residual":[99],"(CSPResNet)":[101],"employs":[103],"convolutional":[105],"block":[106],"attention":[107],"module":[108],"(CBAM)":[109],"mechanism":[110],"feature":[113,118,127],"pyramid":[114],"(FPN)":[116],"fusion":[119],"multiscale":[121],"further":[124],"improve":[125,140],"extraction":[128],"ability":[129,243],"of":[130,151,244,267,288],"model,":[132],"enhance":[133],"its":[134,141],"detail":[135],"information":[136],"ability,":[138],"accuracy.":[145],"In":[146,204,275],"this":[147],"study,":[148],"photography":[150],"area":[154],"was":[155,175,228],"conducted":[156],"UAVs,":[158],"acquired":[161],"images":[162],"were":[163],"used":[164,229],"produce":[166],"dataset":[168],"training":[170],"validation.":[172],"The":[173,290],"method":[174],"compared":[176],"Region-based":[180,187],"Convolutional":[181,188],"Neural":[182,189],"Network":[183,190],"(Mask":[184],"R-CNN),":[185,192],"Faster":[186,270],"(Faster":[191],"You":[194],"Only":[195],"Look":[196],"Once":[197],"v5":[198],"(YOLOv5)":[199],"test":[202,239],"set.":[203],"addition,":[205],"four":[206,296],"scenes\u2014namely,":[207],"dense":[209],"distribution,":[211],"building":[212],"intersection,":[214],"street":[215],"trees,":[216],"active":[218],"plaza":[219],"vegetation\u2014were":[220],"set":[221],"up,":[222],"improved":[225],"perform":[231],"these":[236],"scenes":[237,297],"large-scale":[241],"model.":[246],"MCAN\u2019s":[247],"average":[248],"precision":[249,293],"(AP)":[250],"value":[251,283],"identification":[255],"92.40%,":[257],"which":[258],"3.7%,":[260],"3.84%,":[261],"12.53%":[263],"better":[264],"than":[265],"that":[266,307],"R-CNN,":[269,271,279],"YOLOv5,":[273],"respectively.":[274],"comparison":[276],"AP":[282],"97.70%,":[285],"an":[286],"increase":[287],"8.9%.":[289],"network\u2019s":[292],"multi-scene":[299],"ranges":[301],"from":[302],"95.55%":[303],"92.33%,":[305],"showing":[306],"proposed":[309],"performs":[311],"high-precision":[312],"many":[315],"contexts.":[316]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":13}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
