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A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification
In this article, we propose an end-to-end deep network for the classification of multi-spectral time series and apply them to crop type mapping. Long short-term memory networks (LSTMs) are well established in this regard, thanks to their capacity to capture both long and short term temporal dependen...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321045/ https://www.ncbi.nlm.nih.gov/pubmed/34460661 http://dx.doi.org/10.3390/jimaging6070068 |