Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
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In this paper, we aim at tackling a general but interesting cross-modality feature learning question in remote sensing community-can a limited amount of highly-discriminative (e.g., hyperspectral) training data improve the performance of a classification task ... ...
