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Sequential Recurrent Encoders for Land Cover Mapping in the Brazilian Amazon using MODIS Imagery and Auxiliary Datasets

To test an existing sequential recurrent encoders model based on convolutional variants of RNNs for the task of LUC classification across the Brazilian Amazon and to compare different arrangements of input features and their impact on the classifier performance

Main Authors: Coca-Castro, Alejandro, Rußwurm, Marc, Reymondin, Louis, Mulligan, Mark
Format: Poster
Language:Inglés
Published: 2019
Subjects:
mapping
land use
cells
spectral analysis
kernels
Online Access:https://hdl.handle.net/10568/103747
Summary:To test an existing sequential recurrent encoders model based on convolutional variants of RNNs for the task of LUC classification across the Brazilian Amazon and to compare different arrangements of input features and their impact on the classifier performance

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