1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Learning Endmember Dynamics In Multitemporal Hyperspectral Data Using A State-Space Model Formulation

Learning Endmember Dynamics In Multitemporal Hyperspectral Data Using A State-Space Model Formulation

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

Hyperspectral image unmixing is an inverse problem aiming at recovering the spectral signatures of pure materials of interest (called endmembers) and estimating their proportions (called abundances) in every pixel of the image. However, in spite of a trem

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Learning Endmember Dynamics In Multitemporal Hyperspectral Data Using A State-Space Model Formulation

00:12:29

0 views

Hyperspectral image unmixing is an inverse problem aiming at recovering the spectral signatures of pure materials of interest (called endmembers) and estimating their proportions (called abundances) in every pixel of the image. However, in spite of a trem