Imagery Time Series Cloud Removal and Classification Using Long Short Term Memory Neural Networks
Francisco Alonso-Sarria,
Carmen Valdivieso-Ros,
Francisco Gomariz-Castillo
Abstract:The availability of high spatial and temporal resolution imagery, such as that provided by the Sentinel satellites, allows the use of image time series to classify land cover. Recurrent neural networks (RNNs) are a clear candidate for such an approach; however, the presence of clouds poses a difficulty. In this paper, random forest (RF) and RNNs are used to reconstruct cloud-covered pixels using data from other next in time images instead of pixels in the same image. Additionally, two RNN architectures are tes… Show more
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