Spectral variability in hyperspectral data unmixing: A comprehensive review
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
Endmember variability in spectral mixture analysis: A review
The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and mapping of targeted …
spectral features and hampers the detailed identification and mapping of targeted …
An augmented linear mixing model to address spectral variability for hyperspectral unmixing
Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from
spectral variability, making it difficult for spectral unmixing to accurately estimate abundance …
spectral variability, making it difficult for spectral unmixing to accurately estimate abundance …
Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous
field view in hundreds or thousands of spectral channels with higher spectral resolution than …
field view in hundreds or thousands of spectral channels with higher spectral resolution than …
Total variation spatial regularization for sparse hyperspectral unmixing
MD Iordache, JM Bioucas-Dias… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Spectral unmixing aims at estimating the fractional abundances of pure spectral signatures
(also called endmembers) in each mixed pixel collected by a remote sensing hyperspectral …
(also called endmembers) in each mixed pixel collected by a remote sensing hyperspectral …
Sparse unmixing of hyperspectral data
MD Iordache, JM Bioucas-Dias… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Linear spectral unmixing is a popular tool in remotely sensed hyperspectral data
interpretation. It aims at estimating the fractional abundances of pure spectral signatures …
interpretation. It aims at estimating the fractional abundances of pure spectral signatures …
uDAS: An untied denoising autoencoder with sparsity for spectral unmixing
Linear spectral unmixing is the practice of decomposing the mixed pixel into a linear
combination of the constituent endmembers and the estimated abundances. This paper …
combination of the constituent endmembers and the estimated abundances. This paper …
The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing
S Van der Linden, A Rabe, M Held, B Jakimow… - Remote Sensing, 2015 - mdpi.com
The EnMAP-Box is a toolbox that is developed for the processing and analysis of data
acquired by the German spaceborne imaging spectrometer EnMAP (Environmental …
acquired by the German spaceborne imaging spectrometer EnMAP (Environmental …
A review on spectral processing methods for geological remote sensing
S Asadzadeh, CR de Souza Filho - International journal of applied earth …, 2016 - Elsevier
In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …