Toward Tightness of Scalable Neighborhood Component Analysis for Remote-Sensing Image Characterization
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DOI: 10.1109/lgrs.2022.3150722
Abstract: Deep metric learning methods have recently drawn significant attention in the field of remote sensing (RS), owing to their prominent capabilities for modeling relations among RS images based on their semantic contents. In the context… read more here.
Keywords: metric learning; image; scalable neighborhood; remote sensing ... See more keywords