{"id":"https://openalex.org/W4313174946","doi":"https://doi.org/10.1109/igarss46834.2022.9883109","title":"Plant Species Classification Using Hyperspectral LiDAR with Convolutional Neural Network","display_name":"Plant Species Classification Using Hyperspectral LiDAR with Convolutional Neural Network","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4313174946","doi":"https://doi.org/10.1109/igarss46834.2022.9883109"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883109","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101444597","display_name":"Wenxin Tian","orcid":"https://orcid.org/0000-0003-4536-3430"},"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/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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Tian","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106404228","display_name":"Lingli Tang","orcid":"https://orcid.org/0009-0003-8443-9597"},"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/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":"Lingli Tang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374346","display_name":"Yuwei Chen","orcid":"https://orcid.org/0000-0003-0148-3609"},"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/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]},{"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","FI"],"is_corresponding":false,"raw_author_name":"Yuwei Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","Department of Photogrammetry and Remote Sensing, Finnish Geospatial Research Institute (FGI), Masala, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Department of Photogrammetry and Remote Sensing, Finnish Geospatial Research Institute (FGI), Masala, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422860","display_name":"Ziyang Li","orcid":"https://orcid.org/0000-0002-6064-8875"},"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/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":"Ziyang Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807535","display_name":"Shi Qiu","orcid":"https://orcid.org/0000-0001-8127-7594"},"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/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":"Shi Qiu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338539","display_name":"Xiaohui Li","orcid":"https://orcid.org/0000-0002-5600-3820"},"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/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":"Xiaohui Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085235755","display_name":"Jiajia Zhu","orcid":"https://orcid.org/0000-0001-6231-6244"},"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/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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Zhu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074175188","display_name":"Changhui Jiang","orcid":"https://orcid.org/0000-0002-4788-2464"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Changhui Jiang","raw_affiliation_strings":["Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005470113","display_name":"Peilun Hu","orcid":"https://orcid.org/0000-0001-8477-4983"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Peilun Hu","raw_affiliation_strings":["Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430","University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430","institution_ids":["https://openalex.org/I33876163"]},{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084735407","display_name":"Jianxin Jia","orcid":"https://orcid.org/0000-0003-4366-4547"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jianxin Jia","raw_affiliation_strings":["Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892979","display_name":"Haohao Wu","orcid":"https://orcid.org/0000-0003-2718-114X"},"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/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":"Haohao Wu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051363984","display_name":"Linsheng Chen","orcid":"https://orcid.org/0000-0003-2964-9850"},"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/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":"Linsheng Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS),Key Laboratory of Quantitative Remote Sensing Information Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033042071","display_name":"Juha Hyypp\u00e4","orcid":"https://orcid.org/0000-0001-5360-4017"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juha Hyyppa","raw_affiliation_strings":["Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Geospatial Research Institute (FGI),Department of Photogrammetry and Remote Sensing,Masala,Finland,FI-02430","institution_ids":["https://openalex.org/I33876163"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"1740","last_page":"1743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9937000274658203,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9847999811172485,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9168654680252075},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8181851506233215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430150508880615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7306535840034485},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7154249548912048},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6615787744522095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6506532430648804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6329805254936218},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6324395537376404},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43673276901245117},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3897892236709595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14574268460273743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13985660672187805},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08471262454986572}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9168654680252075},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8181851506233215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430150508880615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7306535840034485},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7154249548912048},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6615787744522095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6506532430648804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6329805254936218},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6324395537376404},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43673276901245117},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3897892236709595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14574268460273743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13985660672187805},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08471262454986572},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883109","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6700000166893005,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1774123611","display_name":null,"funder_award_id":"336145,343678","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6357041820","display_name":"\u591a\u7ec4\u5206\u7279\u5f81\u878d\u5408\u7684\u5c0f\u5149\u6591\u5168\u6ce2\u5f62\u6fc0\u5149\u96f7\u8fbe\u9690\u853d\u76ee\u6807\u63d0\u53d6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771456","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"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1819141188","https://openalex.org/W2013747178","https://openalex.org/W2114397851","https://openalex.org/W2467791686","https://openalex.org/W2556460662","https://openalex.org/W2767651786","https://openalex.org/W2789886710","https://openalex.org/W2822065499","https://openalex.org/W2900316983","https://openalex.org/W2905027076","https://openalex.org/W2930255786","https://openalex.org/W2972789182","https://openalex.org/W2998182321","https://openalex.org/W3019614656","https://openalex.org/W3041733463","https://openalex.org/W6767965691"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W4387678054","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNN)":[3],"are":[4,82],"capable":[5],"of":[6,27],"extracting":[7],"features":[8,26,71],"with":[9,72],"high":[10],"accuracy,":[11],"which":[12,67],"is":[13,40,95],"dominant":[14],"in":[15,30],"visual-based":[16],"classification.":[17,36,91],"Previous":[18],"researches":[19],"demonstrate":[20,132],"that":[21,47,118,133],"CNN":[22,87,102],"can":[23,48],"extract":[24],"essential":[25],"the":[28,31,69,73,83,108,112,119,134,138],"target":[29],"plant":[32],"feature":[33],"extraction":[34],"and":[35,52,124],"Hyperspectral":[37],"LIDAR":[38],"(HSL)":[39],"a":[41,58],"novel":[42,59],"active":[43],"remote":[44],"sensing":[45],"technology":[46],"simultaneously":[49],"collect":[50],"spectral":[51,70,101],"spatial":[53],"information.":[54],"This":[55],"paper":[56],"proposed":[57],"classification":[60,139],"method":[61],"named":[62],"VI-CNN":[63,135],"for":[64],"hyperspectral":[65],"LiDAR,":[66],"combines":[68],"vegetable":[74],"index(VI).":[75],"As":[76],"far":[77],"as":[78],"we":[79,81],"know,":[80],"first":[84],"to":[85,88],"apply":[86],"HSL":[89],"data":[90],"The":[92,115,129],"VI":[93],"-CNN":[94],"divided":[96],"into":[97],"two":[98],"parts.":[99],"Firstly,":[100],"focuses":[103],"on":[104],"intra-spectral":[105],"correlations;":[106],"secondly,":[107],"vegetation":[109],"indices":[110],"supplement":[111],"biological":[113],"parameters.":[114],"evaluation":[116],"shows":[117],"concatenation":[120],"has":[121],"stronger":[122],"identification":[123],"robustness":[125],"than":[126],"standalone":[127],"methods.":[128,145],"experimental":[130],"results":[131],"significantly":[136],"improves":[137],"accuracy":[140],"against":[141],"other":[142],"traditional":[143],"machine-learning":[144]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}