Class3Dp: A supervised classifier of vegetation species from point clouds
[EN] Recognizing the species composition of an ecosystem is essential for conservation and land management. This study presents the software Class3Dp, a supervised classifier of vegetation species for coloured point clouds. Class3Dp is run through a graphical user interface (GUI) that allows for the...
| Autores: | ; ; ; ; ; |
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| Tipo de documento: | Artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Lenguaje: | Inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/205205 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/205205 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | Bare-earth extraction Machine learning Coloured point cloud Unmanned Aerial Vehicles (UAVs) Digital aerial Photogrammetry (DAP) INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica |
| _version_ | 1878741867347050496 |
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| author | Carbonell-Rivera, Juan Pedro|||0000-0002-6724-6780 |
| author2 | Estornell Cremades, Javier|||0000-0003-0854-5358 Ruiz Fernández, Luis Ángel|||0000-0003-0073-7259 Crespo-Peremarch, Pablo|||0000-0003-2241-4493 Torralba, Jesús|||0000-0001-8644-8604 Almonacid-Caballer, Jaime |
| author2_role | author author author author author |
| author_browse | Almonacid-Caballer, Jaime Carbonell-Rivera, Juan Pedro|||0000-0002-6724-6780 Crespo-Peremarch, Pablo|||0000-0003-2241-4493 Estornell Cremades, Javier|||0000-0003-0854-5358 Ruiz Fernández, Luis Ángel|||0000-0003-0073-7259 Torralba, Jesús|||0000-0001-8644-8604 |
| author_facet | Carbonell-Rivera, Juan Pedro|||0000-0002-6724-6780 Estornell Cremades, Javier|||0000-0003-0854-5358 Ruiz Fernández, Luis Ángel|||0000-0003-0073-7259 Crespo-Peremarch, Pablo|||0000-0003-2241-4493 Torralba, Jesús|||0000-0001-8644-8604 Almonacid-Caballer, Jaime |
| author_role | author |
| collection | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| description | [EN] Recognizing the species composition of an ecosystem is essential for conservation and land management. This study presents the software Class3Dp, a supervised classifier of vegetation species for coloured point clouds. Class3Dp is run through a graphical user interface (GUI) that allows for the selection of training samples from RGB or MS (multispectral) clouds and their classification based on geometric, spectral and neighbourhood features, along with different machine learning methods, obtaining the point cloud classified according to the classes (species) introduced. A case study is shown where a classification of ground and vegetation is carried out, obtaining an overall accuracy (OA) of 0.94 in the RGB classification and 0.95 in the MS. Points classified as vegetation were re-classified in the species Anthyllis cytisoides L., Chamaerops humilis L., Cistus monspeliensis L., Pistacia lentiscus L. and Quercus coccifera L., obtaining an OA of 0.86 in the RGB classification and 0.87 in the MS. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_ec9ee0471a9db8561d33f3b92a0f06fd |
| institution | Universitat Politècnica de València (UPV) |
| instname_str | Universitat Politècnica de València (UPV) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:riunet.upv.es:10251/205205 |
| publishDate | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| reponame_str | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| spelling | Class3Dp: A supervised classifier of vegetation species from point clouds Carbonell-Rivera, Juan Pedro|||0000-0002-6724-6780 Estornell Cremades, Javier|||0000-0003-0854-5358 Ruiz Fernández, Luis Ángel|||0000-0003-0073-7259 Crespo-Peremarch, Pablo|||0000-0003-2241-4493 Torralba, Jesús|||0000-0001-8644-8604 Almonacid-Caballer, Jaime Bare-earth extraction Machine learning Coloured point cloud Unmanned Aerial Vehicles (UAVs) Digital aerial Photogrammetry (DAP) INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica [EN] Recognizing the species composition of an ecosystem is essential for conservation and land management. This study presents the software Class3Dp, a supervised classifier of vegetation species for coloured point clouds. Class3Dp is run through a graphical user interface (GUI) that allows for the selection of training samples from RGB or MS (multispectral) clouds and their classification based on geometric, spectral and neighbourhood features, along with different machine learning methods, obtaining the point cloud classified according to the classes (species) introduced. A case study is shown where a classification of ground and vegetation is carried out, obtaining an overall accuracy (OA) of 0.94 in the RGB classification and 0.95 in the MS. Points classified as vegetation were re-classified in the species Anthyllis cytisoides L., Chamaerops humilis L., Cistus monspeliensis L., Pistacia lentiscus L. and Quercus coccifera L., obtaining an OA of 0.86 in the RGB classification and 0.87 in the MS. This research has been supported by the grants BES-2017-081920 and PID2020-117808RB-C21 funded by MCIN/AEI/10.13039/501100011033 and by ESF Investing in your future. Funding for open access charge: Universitat Politècnica de València. Elsevier https://riunet.upv.es/handle/10251/205205 |
| spellingShingle | Class3Dp: A supervised classifier of vegetation species from point clouds Carbonell-Rivera, Juan Pedro|||0000-0002-6724-6780 Bare-earth extraction Machine learning Coloured point cloud Unmanned Aerial Vehicles (UAVs) Digital aerial Photogrammetry (DAP) INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica |
| title | Class3Dp: A supervised classifier of vegetation species from point clouds |
| title_full | Class3Dp: A supervised classifier of vegetation species from point clouds |
| title_fullStr | Class3Dp: A supervised classifier of vegetation species from point clouds |
| title_full_unstemmed | Class3Dp: A supervised classifier of vegetation species from point clouds |
| title_short | Class3Dp: A supervised classifier of vegetation species from point clouds |
| title_sort | Class3Dp: A supervised classifier of vegetation species from point clouds |
| topic | Bare-earth extraction Machine learning Coloured point cloud Unmanned Aerial Vehicles (UAVs) Digital aerial Photogrammetry (DAP) INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica |
| topic_facet | Bare-earth extraction Machine learning Coloured point cloud Unmanned Aerial Vehicles (UAVs) Digital aerial Photogrammetry (DAP) INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica |
| url | https://riunet.upv.es/handle/10251/205205 |