Endmember variability - Open Access .click

Results 131 to 140 of about 1,244,965 (221)

Dark endmember in spectral feature space under variable atmosphere [PDF]

, 2005
One of the most important assumptions in most multispectral image transformation methods is that the position of the dark endmember is placed at the origin of the n-D spectral feature space regardless of the target spectral signature. A series of field experiments under varying illumination resulted that ‘shadowlines’, which hypothetically pass through
Choi, K.Y., Milton, E.J.
openaire

Autonomous single-pass endmember approximation using lattice auto-associative memories [PDF]

, 2009
We propose a novel method for the autonomous determination of endmembers that employs recent results from the theory of lattice based auto-associative memories.
GONZALO JORGE URCID SERRANO
core

Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability

, 2015
International audienceThe Linear Mixing Model is often used to perform Hyperspec-tral Unmixing because of its simplicity, but it assumes that a single spectral signature can be completely representative of an endmember.
Henrot, Simon +4 more
core

An Abundance-Guided Mamba Network for Hyperspectral Unmixing. [PDF]

Entropy (Basel)
Tang Z, Wang X, Li B.
europepmc +1 more source

A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images [PDF]