Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN
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DOI: 10.1109/lgrs.2018.2799232
Abstract: In this letter, we propose a pseudo-siamese convolutional neural network architecture that enables to solve the task of identifying corresponding patches in very high-resolution optical and synthetic aperture radar (SAR) remote sensing imagery. Using eight… read more here.
Keywords: network; identifying corresponding; pseudo siamese; corresponding patches ... See more keywords