Deep learning algorithms for hyperspectral remote sensing classifications: an applied review
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DOI: 10.1080/01431161.2023.2297178
Abstract: ABSTRACT Over last decade, hundreds of deep learning algorithms using CNN, ViT, MLP, and deep LSTM are proposed to classify hyperspectral remote sensing images with accuracy reaching to almost 100% with testing samples. Due to… read more here.
Keywords: deep learning; remote sensing; hyperspectral remote; sensing classifications ... See more keywords