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Spatial validation of spectral unmixing results: A systematic review
RM Cavalli - Remote Sensing, 2023 - mdpi.com
The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …
Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction
Blind linear unmixing (BLU) methods decompose multi and hyperspectral datasets into end-
members and abundance maps with an unsupervised perspective. However, due to …
members and abundance maps with an unsupervised perspective. However, due to …
Combinatorial Non-negative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General Norm Regularization
Hyperspectral unmixing (HU), an essential procedure for various environmental
applications, has garnered significant attention within remote sensing communities. Among …
applications, has garnered significant attention within remote sensing communities. Among …
Blind Source Unmixing Algorithm of MEMS Magnetic Signal of Multisource Sensor in PDR Positioning
J Wang, Q Meng, M Li, S Wang, J Hou - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Pedestrian dead reckoning (PDR) positioning with micro-electromechanical system (MEMS)
is currently intelligent autonomous positioning, which is a front research field in indoor …
is currently intelligent autonomous positioning, which is a front research field in indoor …
A Two-step Linear Mixing Model for Unmixing under Hyperspectral Variability
Spectral unmixing is an important task in the research field of hyperspectral image
processing. It can be thought of as a regression problem, where the observed variable (ie …
processing. It can be thought of as a regression problem, where the observed variable (ie …
Blind Hyperspectral Unmixing with Enhanced 2DTV Regularization Term
P Wang, X Shen, Y Kong, X Zhang, L Wang - Remote Sensing, 2023 - mdpi.com
For the problem where the existing hyperspectral unmixing methods do not take full
advantage of the correlations and differences between all these bands, resulting in affecting …
advantage of the correlations and differences between all these bands, resulting in affecting …