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The satellite's capabilities are apparent in the first images of the cyclone. Cyclones such as the one imaged -- an extra-tropical cyclone -- occur when masses of warm air collide with masses of cold air north or south of the tropics. These storm systems can produce rain, snow, ice, high winds, and other severe weather. In these first images, the warm front ahead of the cyclone shows a broad area of precipitation -- in this case, rain -- with a narrower band of precipitation associated with the cold front trailing to the southwest. Snow is seen falling in the northern reaches of the storm.
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where O(), B(), and R() symbolize a rainy image, a clean background, and a rain layer, respectively. Equation (3) utilizes K() to represent a snow image and the concept is similar to that explained in Equation (1) and (2).
MWTG translates clear images into hazy, rainy, or snowy images using three different generators, creating a set of images representing different weather conditions (top row). In contrast, only one generator is needed to translate all three types of adverse weather images into clear ones (bottom row).
Weather removal results for the Cityscapes datasets. Although the MWTG model uses an unpaired training paradigm, the original Cityscapes dataset contains ground truth images for its synthesized weather datasets, in contrast to the RDSBW dataset. The result is that even if objects are occluded by haze, rain, or snowflakes, MWTG still can recover the original Cityscape images to generate clear images. 59ce067264