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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Veröffentlicht in:	International journal of remote sensing Jg. 45; H. 24; S. 9267 - 9286
Hauptverfasser:	Wu, Jinbin, Zhao, Jiankang, Long, Haihui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 16.12.2024 Taylor & Francis Ltd
Schlagworte:	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
Online-Zugang:	Volltext
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