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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3179446
Abstract: Convolutional neural networks have garnered increasing interest for the supervised classification of hyperspectral imagery. However, images with a wide variety ofspatial land-cover sizes can hinder the feature-extraction ability of traditional convolutional networks. Consequently, many approaches…
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Keywords:
network;
spatial spectral;
feature;
feature extraction ... See more keywords
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recommendations!
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185743
Abstract: Due to the complex environment of hyperspectral image (HSI) gathering area, it is difficult to obtain a large number of labeled samples for HSI. Therefore, how to effectively achieve the HSI few-shot classification is a…
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Keywords:
shot classification;
spatial spectral;
hsi;
multiscale spatial ... See more keywords