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US 2021/0103758 A1Published application
Advanced cloud detection using neural networks and optimization techniques
AssigneeDigitalGlobe, Inc.
InventorMICHAEL ASCHENBECK
Life of this patent
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Abstract
Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a Neural Network, making an initial determination of cloud or ground by using the Neural Network, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.
Claims9
A computer-implemented process for determining whether given imagery in an overhead image is cloud imagery or ground imagery, comprising:
- for multiple portions of an overhead image, making an initial determination about whether each of the multiple portions primarily contains cloud imagery or primarily contains ground imagery by, with a processor, utilizing a neural network to classify each of the multiple portions of the overhead image as one of cloud or ground;
- and
- with a processor, performing an optimization technique on the multiple portions of the overhead image using the initial determination to determine which portions of the overhead image include cloud imagery or ground imagery.
9-20. (canceled)
Dependencies are inferred from the claim text.