convLSTM

Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction

In underground mining process, the evolution of fissures, fractures, and breakages in overlying rock strata can lead to water inrush and many other serious risks including rock bursts, roof collapses, and ground subsidence. Since directly observing strata behavior is challenging, downscaled similar material simulations are often relied upon as a proven effective method for strata pattern analysis.

Categories:: Geoscience and Remote Sensing

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Data for Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks

This is the images and the image masks used in the paper "Z. Petrou and Y. Tian, Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks,IEEE Transactions on Geoscience and Remote Sensing."

Categories:: Remote Sensing

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