Creation of Ersatz Ground Reference Data for Validating Improvements in the Modis Snow and Ice Product Suite
نویسندگان
چکیده
We reported earlier [1] on efforts to reduce the so-called “cloud fringe” problem. Here the fringes of certain snow fields are labeled as “cloud” whereas close inspection of the data indicates that the correct labeling is a non-cloud category such as snow or land. Noting that the labeling of image pixels as cloud is done without any regard to spatial context, we investigated utilizing image segmentation for providing a spatial context through which the MODIS Cloud Mask Product determination of cloud can be overridden whenever appropriate.
منابع مشابه
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