Rethinking Monocular Height Estimation From a Classification Task Perspective Leveraging the Vision Transformer
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DOI: 10.1109/lgrs.2022.3222457
Abstract: Height estimation from a single remote sensing image has great potential in generating digital surface models (DSMs) efficiently for a quick Earth surface reconstruction. Recently, convolutional neural networks (CNNs) have emerged as a powerful method… read more here.
Keywords: estimation; classification task; bin subdivision; height estimation ... See more keywords