Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image

Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image

Hyperspectral imageries are often degraded by systematic sensor-based errors known as “striping noises”. This study implements a spectral-based regression algorithm from highly correlated consecutive bands, i.e. left band, right band or both, to model and reconstruct the abnormal pixel values, strip...

Full description

Bibliographic Details
Main Authors: Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Francesco Pilla
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:European Journal of Remote Sensing
Subjects:
Destriping
hyperspectral image
PRISMA
spectral-based regression
stripe noise
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2022.2141659

Internet

https://www.tandfonline.com/doi/10.1080/22797254.2022.2141659

Similar Items