Noisy Remote Sensing Image Fusion Based on JSR

Noisy Remote Sensing Image Fusion Based on JSR

Compressed sensing has shown great potential and power in image representation, especially in image reconstruction by sparse representation. Due to complementary information and unavoidable noise existing in synthetic aperture radar (SAR) and other source images, joint sparse representation (JSR) is...

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Bibliographic Details
Main Authors: Xiaole Ma, Shaohai Hu, Shuaiqi Liu, Jie Wang, Shuwen Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Remote sensing image fusion
joint sparse representation
pulse coupled neural network
SAR image processing
Online Access:https://ieeexplore.ieee.org/document/8995486/

Internet

https://ieeexplore.ieee.org/document/8995486/

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