CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data

Kalina Borkiewicz,Viraj Shah,J. P. Naiman,Chuanyue Shen,Stuart Levy,Jeff Carpenter

2021 IEEE Visualization Conference (VIS)（2021）

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摘要

Artifact removal is an integral component of cinematic scientific visualization, and is especially challenging with big datasets in which artifacts are difficult to define. In this paper, we describe a method for creating cloud artifact masks which can be used to remove artifacts from satellite imagery using a combination of traditional image processing together with deep learning based on U-Net. ...

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关键词

cinematic scientific visualization,science communication,public outreach,broad impact,data visualization,data processing,machine learning,deep learning,u net,image processing,data preparation

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