Spatial Supervised Learning seeks to learn how to assign a label to each pixel in a spatial grid
such as the pixels of remote-sensed images. The standard approach is to treat each grid cell
separately and to use only the measured features of the grid cell to determine the assigned...
Spatial Supervised Learning seeks to learn how to assign a label to each pixel in a spatial grid
such as the pixels of remote-sensed images. The standard approach is to treat each grid cell
separately and to use only the measured features of the grid cell to determine the assigned...
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Spatial Supervised Learning
Using Recurrent Sliding Window Classifiers
Dan
Landslides are ubiquitous within the state of Oregon, imposing an annual estimated cost of more than $10 million. Weak, saturated soils at steep slopes combined with persistent rainfall throughout most of the year provide a dangerous environment for this natural disaster, particularly in western Oregon. This grim situation is intensified...
Landslides are ubiquitous within the state of Oregon, imposing an annual estimated cost of more than $10 million. Weak, saturated soils at steep slopes combined with persistent rainfall throughout most of the year provide a dangerous environment for this natural disaster, particularly in western Oregon. This grim situation is intensified...
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into the probability
chain and performed using Newmark`s sliding block method. In order to
estimate
