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A survey on hyperspectral image restoration: From the view of low-rank tensor approximation
The ability to capture fine spectral discriminative information enables hyperspectral images
(HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the …
(HSIs) to observe, detect and identify objects with subtle spectral discrepancy. However, the …
Spectral enhanced rectangle transformer for hyperspectral image denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. Though witnessing
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
the great power of deep learning, existing HSI denoising methods suffer from limitations in …
Hyperspectral image denoising using a 3-D attention denoising network
Hyperspectral image (HSI) denoising plays an important role in image quality improvement
and related applications. Convolutional neural network (CNN)-based image denoising …
and related applications. Convolutional neural network (CNN)-based image denoising …
Spatial-spectral transformer for hyperspectral image denoising
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure for the
subsequent HSI applications. Unfortunately, though witnessing the development of deep …
subsequent HSI applications. Unfortunately, though witnessing the development of deep …