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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3199208
Abstract: In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral images (HSIs) classification. However, 2-D CNN, 3-D CNN, and even the newly emerged hybrid CNN (HCNN) all require multiple or deep CNN…
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Keywords:
hcnn;
classification;
hybrid cnn;
based global ... See more keywords
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2886758
Abstract: The availability of large-scale annotated data and the uneven separability of different data categories have become two major impediments of deep learning for image classification. In this paper, we present a semi-supervised hierarchical convolutional neural…
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Keywords:
hcnn;
cnns;
semi supervised;
image classification ... See more keywords