Invention Grant
- Patent Title: Advanced cloud detection using neural networks and optimization techniques
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Application No.: US16140052Application Date: 2018-09-24
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Publication No.: US10685253B2Publication Date: 2020-06-16
- Inventor: Michael Aschenbeck
- Applicant: DIGITALGLOBE, INC.
- Applicant Address: US CO Westminster
- Assignee: DigitalGlobe, Inc.
- Current Assignee: DigitalGlobe, Inc.
- Current Assignee Address: US CO Westminster
- Agency: Snell & Wilmer L.L.P.
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06N3/08 ; G06K9/62 ; G06T7/162 ; G06K9/00 ; G06T7/11 ; G06T7/143 ; G06F16/901

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.
Public/Granted literature
- US20190034754A1 ADVANCED CLOUD DETECTION USING NEURAL NETWORKS AND OPTIMIZATION TECHNIQUES Public/Granted day:2019-01-31
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