Cascaded hybrid convolutional autoencoder network for spectral-spatial nonlinear hyperspectral unmixing

Due to the complex interaction of photons between materials, linear hyperspectral unmixing (HU) is limited in real scenarios, making nonlinear unmixing a promising alternative. With the advancement of deep learning (DL), nonlinear unmixing methods based on the convolutional autoencoder (CAE) have ga...

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Vydané v:	International journal of remote sensing Ročník 45; číslo 24; s. 9267 - 9286
Hlavní autori:	Wu, Jinbin, Zhao, Jiankang, Long, Haihui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 16.12.2024 Taylor & Francis Ltd
Predmet:	data collection Hybrid convolution hybrids hyperspectral image (HSI) Image reconstruction nonlinear unmixing Perception Self image self-perception Spatial data Traction
ISSN:	0143-1161, 1366-5901, 1366-5901
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