Cascade Residual Capsule Network for Hyperspectral Image Classification

Theconvolution neural network (CNN) has recently shown the good performance in hyperspectral image (HSI) classification tasks. Many CNN-based methods crop image patches from original HSI as inputs. However, the input HSI cubes usually contain background and many hyperspectral pixels with different l...

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Hlavní autoři:	Zhiming Mei, Zengshan Yin, Xinwei Kong, Long Wang, Han Ren
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Cascade residual capsule network (CRCN) convolution neural network (CNN) high-level spatial–spectral feature extraction hyperspectral image (HSI) classification spatial context orientation representations
On-line přístup:	https://ieeexplore.ieee.org/document/9756347/
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