{"id":"https://openalex.org/W4391171669","doi":"https://doi.org/10.1080/17538947.2024.2307999","title":"An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data","display_name":"An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391171669","doi":"https://doi.org/10.1080/17538947.2024.2307999"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2024.2307999","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2307999","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2307999?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2307999?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101270142","display_name":"Mengni Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengni Fu","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089480059","display_name":"Chi Lu","orcid":"https://orcid.org/0000-0003-2125-6104"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Lu","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-2125-6104","affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053155497","display_name":"Yingwu Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingwu Mao","raw_affiliation_strings":["Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Kunming, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019588529","display_name":"Xiaoli Zhang","orcid":"https://orcid.org/0000-0003-0768-9595"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-0768-9595","affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802614","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0001-6343-4218"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wu","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-6343-4218","affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088009928","display_name":"Hongbin Luo","orcid":"https://orcid.org/0000-0002-9885-3014"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Luo","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-9885-3014","affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382312","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0002-8428-1131"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660455","display_name":"Wenfang Li","orcid":"https://orcid.org/0009-0002-5003-8157"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfang Li","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101506717","display_name":"Guanglong Ou","orcid":"https://orcid.org/0000-0003-1925-6690"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanglong Ou","raw_affiliation_strings":["Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-1925-6690","affiliations":[{"raw_affiliation_string":"Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25399270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101506717"],"corresponding_institution_ids":["https://openalex.org/I25399270"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":3.3126,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91088786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9977999925613403,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9966999888420105,"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/T13568","display_name":"Wood and Agarwood Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8168469667434692},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6778920888900757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107221841812134},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5895035862922668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5541830062866211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5411355495452881},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5393087863922119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3664449453353882},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3422563076019287},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.28094416856765747},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11329337954521179},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08480760455131531}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8168469667434692},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6778920888900757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107221841812134},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5895035862922668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541830062866211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5411355495452881},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5393087863922119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3664449453353882},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3422563076019287},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.28094416856765747},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11329337954521179},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08480760455131531},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2024.2307999","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2307999","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2307999?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a17dce18f8b4685980832ce40ba340e","is_oa":false,"landing_page_url":"https://doaj.org/article/7a17dce18f8b4685980832ce40ba340e","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 17, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2024.2307999","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2307999","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2307999?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G8494101191","display_name":null,"funder_award_id":"YNWR-QNBJ-2018-184","funder_id":"https://openalex.org/F4320329867","funder_display_name":"Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province"}],"funders":[{"id":"https://openalex.org/F4320329867","display_name":"Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391171669.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1496825334","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1985936925","https://openalex.org/W2001832926","https://openalex.org/W2015080572","https://openalex.org/W2016860790","https://openalex.org/W2018027183","https://openalex.org/W2018732570","https://openalex.org/W2028716078","https://openalex.org/W2078347824","https://openalex.org/W2084291846","https://openalex.org/W2098919237","https://openalex.org/W2106488983","https://openalex.org/W2107919956","https://openalex.org/W2109191549","https://openalex.org/W2112796928","https://openalex.org/W2128728535","https://openalex.org/W2139525108","https://openalex.org/W2154874087","https://openalex.org/W2194775991","https://openalex.org/W2242822758","https://openalex.org/W2286929393","https://openalex.org/W2338779854","https://openalex.org/W2412588858","https://openalex.org/W2531409750","https://openalex.org/W2581094540","https://openalex.org/W2581388530","https://openalex.org/W2591466624","https://openalex.org/W2598666589","https://openalex.org/W2600632079","https://openalex.org/W2604870469","https://openalex.org/W2608821828","https://openalex.org/W2612445135","https://openalex.org/W2743601682","https://openalex.org/W2771648944","https://openalex.org/W2803598788","https://openalex.org/W2887936511","https://openalex.org/W2898773251","https://openalex.org/W2908573190","https://openalex.org/W2911261286","https://openalex.org/W2919115771","https://openalex.org/W2921401402","https://openalex.org/W2946948417","https://openalex.org/W2954514467","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2964350391","https://openalex.org/W2970576551","https://openalex.org/W2976210365","https://openalex.org/W2979348177","https://openalex.org/W2981864880","https://openalex.org/W2991201922","https://openalex.org/W2991424587","https://openalex.org/W2991575127","https://openalex.org/W3000415744","https://openalex.org/W3013515824","https://openalex.org/W3014120959","https://openalex.org/W3036016333","https://openalex.org/W3043859127","https://openalex.org/W3097971370","https://openalex.org/W3127319645","https://openalex.org/W3132859298","https://openalex.org/W3173797407","https://openalex.org/W3174415524","https://openalex.org/W3177525997","https://openalex.org/W3196623926","https://openalex.org/W4224229372","https://openalex.org/W4253262907","https://openalex.org/W4286696412","https://openalex.org/W4296363744","https://openalex.org/W4301045096","https://openalex.org/W4309710741","https://openalex.org/W4318824689","https://openalex.org/W4377091581","https://openalex.org/W4387259442"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W3158431807","https://openalex.org/W2530952058","https://openalex.org/W2582836483","https://openalex.org/W4299366318","https://openalex.org/W4297580547","https://openalex.org/W2951583185","https://openalex.org/W4308155352"],"abstract_inverted_index":{"Addressing":[0],"accuracy":[1,52,57,97,133],"and":[2,13,32,35,61,71,82,91,114,117,124,134,177,188,194],"computational":[3],"complexity":[4],"challenges":[5],"in":[6,96,167],"hyperspectral":[7,154],"image":[8],"classification":[9,196],"for":[10,192],"small":[11],"sample":[12],"multi-species":[14],"scenarios,":[15],"we":[16],"developed":[17],"DSC-DC,":[18],"a":[19,138,186],"lightweight":[20],"convolutional":[21],"neural":[22],"network.":[23],"This":[24,183],"model":[25,151],"is":[26],"based":[27],"on":[28],"Depthwise":[29],"Separable":[30],"Convolution":[31,34],"Dilated":[33],"was":[36],"trained":[37],"using":[38],"the":[39,108,118,143,149,153,157,161,168,174],"Teakettle":[40],"Experimental":[41],"Forest":[42,165],"dataset":[43,155],"(USA).":[44],"In":[45],"this":[46,181],"study,":[47],"DSC-DC":[48,93,129,150],"achieved":[49],"an":[50],"overall":[51],"(OA)":[53],"of":[54,59,64,142,148,160,180],"99.83%,":[55],"average":[56],"(AA)":[58],"99.64%,":[60],"Kappa":[62],"coefficient":[63],"0.9996.":[65],"Compared":[66,87],"to":[67,80,85,88,100,104,137,152],"Support":[68],"Vector":[69],"Machine":[70],"K-Nearest":[72],"Neighbors,":[73],"it":[74],"demonstrated":[75,173],"markedly":[76],"higher":[77],"OA":[78],"(3.88%":[79],"7.55%)":[81],"AA":[83],"(30.71%":[84],"34.09%).":[86],"Inception-V3,":[89],"ResNet50,":[90],"MSR-3DCNN,":[92],"marginally":[94],"outperformed":[95],"(OA:":[98],"0.06%":[99],"0.31%;":[101],"AA:":[102],"0.32%":[103],"3.64%)":[105],"while":[106],"reducing":[107],"training":[109],"time":[110,120],"by":[111,121],"3.5,":[112],"5,":[113],"35":[115],"times,":[116,126],"prediction":[119],"2,":[122],"3,":[123],"17":[125],"respectively.":[127],"Moreover,":[128],"exhibits":[130],"slightly":[131],"superior":[132],"efficiency":[135],"compared":[136],"5-layer":[139],"optimal":[140],"structure":[141],"3D-CNN":[144],"model.":[145,182],"The":[146],"application":[147],"from":[156],"Jiepai":[158],"branch":[159],"Gaofeng":[162],"State":[163],"Owned":[164],"Farm":[166],"Guangxi":[169],"province,":[170],"China,":[171],"further":[172],"reliability,":[175],"versatility,":[176],"practical":[178],"potential":[179],"study":[184],"provides":[185],"reliable":[187],"efficient":[189],"reference":[190],"solution":[191],"small-sample":[193],"multi-tree":[195],"tasks.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}