Happy New Year everybody.
I started this year off with a paper presentation for the TWiML&AI EMEA Meetup titled “Deep Learning for Remote Sensing Applications”. A brief intro to optical and radar-based remote sensing and a deep learning application for generating optimal images based on radar and previous time-step images by He and Yokoya (2018). It’s a nice application illustrating the use of CNN and cGAN and data fusion based on auxiliary radar images to generate optical images that might be compromised by clouds or missing-data.
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