A New Deep Convolutional Network for Effective Hyperspectral Unmixing

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorithms to complete the abundance estimation step. Due...

Full description

Bibliographic Details
Main Authors: Xuanwen Tao, Mercedes E. Paoletti, Lirong Han, Zhaoyue Wu, Peng Ren, Javier Plaza, Antonio Plaza, Juan M. Haut
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks (CNNs)
cross convolution
deep learning
hyperspectral unmixing
Online Access:https://ieeexplore.ieee.org/document/9864242/

Internet

https://ieeexplore.ieee.org/document/9864242/

Similar Items