Hyperspectral detection of citrus damage with Mahalanobis kernel classifier
Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. The method is based on the combined use of hyperspectral images and the Mahalanobis kernel classifier. More accurate and reliable results compared to other methods are obtained in sever...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://hdl.handle.net/20.500.11939/5293 |
| _version_ | 1855491900782411776 |
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| author | Gómez-Sanchís, Juan Blasco, José Moltó, Enrique Camps-Valls, G. |
| author_browse | Blasco, José Camps-Valls, G. Gómez-Sanchís, Juan Moltó, Enrique |
| author_facet | Gómez-Sanchís, Juan Blasco, José Moltó, Enrique Camps-Valls, G. |
| author_sort | Gómez-Sanchís, Juan |
| collection | ReDivia |
| description | Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. The method is based on the combined use of hyperspectral images and the Mahalanobis kernel classifier. More accurate and reliable results compared to other methods are obtained in several scenarios and acquired images. |
| format | Artículo |
| id | ReDivia5293 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | ReDivia52932025-04-25T14:41:55Z Hyperspectral detection of citrus damage with Mahalanobis kernel classifier Gómez-Sanchís, Juan Blasco, José Moltó, Enrique Camps-Valls, G. Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. The method is based on the combined use of hyperspectral images and the Mahalanobis kernel classifier. More accurate and reliable results compared to other methods are obtained in several scenarios and acquired images. 2017-06-01T10:12:05Z 2017-06-01T10:12:05Z 2007 SEP 27 2007 article acceptedVersion Gomez, J., Blasco, J., Moltó, E., Camps-Valls, G. (2007). Hyperspectral detection of citrus damage with Mahalanobis kernel classifier. Electronics Letters, 43(20), 1082-1084. 0013-5194 http://hdl.handle.net/20.500.11939/5293 10.1049/el:20070906 en openAccess Impreso |
| spellingShingle | Gómez-Sanchís, Juan Blasco, José Moltó, Enrique Camps-Valls, G. Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title | Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title_full | Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title_fullStr | Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title_full_unstemmed | Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title_short | Hyperspectral detection of citrus damage with Mahalanobis kernel classifier |
| title_sort | hyperspectral detection of citrus damage with mahalanobis kernel classifier |
| url | http://hdl.handle.net/20.500.11939/5293 |
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