Results 101 to 110 of about 6,322 (191)

SCSU–GDO: Superpixel Collaborative Sparse Unmixing with Graph Differential Operator for Hyperspectral Imagery

Remote Sensing
In recent years, remarkable advancements have been achieved in hyperspectral unmixing (HU). Sparse unmixing, in which models mix pixels as linear combinations of endmembers and their corresponding fractional abundances, has become a dominant paradigm in ...
Kaijun Yang, Zhixin Zhao, Qishen Yang, Ruyi Feng   +3 more
doaj   +1 more source

A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications [PDF]

, 2013
Demixing problems in many areas such as hyperspectral imaging and differential optical absorption spectroscopy (DOAS) often require finding sparse nonnegative linear combinations of dictionary elements that match observed data.
Esser, Ernie, Lou, Yifei, Xin, Jack
core  

A Multiscale Hierarchical Model for Sparse Hyperspectral Unmixing

Remote Sensing, 2019
Due to the complex background and low spatial resolution of the hyperspectral sensor, observed ground reflectance is often mixed at the pixel level.
Jinlin Zou, Jinhui Lan
doaj   +1 more source

Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Impervious surface abundance (ISA) is an important indicator for monitoring urbanization and environmental disaster management processes. Commonly used spectral unmixing techniques extract ISA in the form of mixed pixels; however, in previous ...
Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma   +4 more
doaj   +1 more source

Spectral Unmixing of Pigments on Surface of Painted Artefacts Considering Spectral Variability [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Painted artefacts, such as murals and paintings, are the treasures of human civilization. Pigment is an important component of their surfaces. It is crucial to study the composition and proportion of pigments on the surface of painted artefacts for the ...
Y. Wang, Y. Wang, S. Lyu, S. Lyu, B. Ning, D. Yan, M. Hou, M. Hou, P. Sun, P. Sun, L. Li   +10 more
doaj   +1 more source

Temperature scaling unmixing framework based on convolutional autoencoder

International Journal of Applied Earth Observations and Geoinformation
Hyperspectral unmixing is a key technology in the development of remote sensing applications. However, since both endmembers and abundances are unknown, unmixing is a non-convex problem with a large solution space. To solve this, existing methods usually
Jin Xu, Mingming Xu, Shanwei Liu, Hui Sheng, Zhiru Yang   +4 more
doaj   +1 more source

A Novel Sub-Abundance Map Regularized Sparse Unmixing Framework Based on Dynamic Abundance Subspace Awareness

Mathematics
Sparse unmixing (SU) has become a research hotspot in hyperspectral image (HSI) analysis in recent years due to its interpretable physical mechanisms and engineering practicality.
Kewen Qu, Fangzhou Luo, Huiyang Wang, Wenxing Bao   +3 more
doaj   +1 more source

Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj   +1 more source

NMF-based sparse unmixing of complex mixtures

, 2019
In this work, we are interested in unmixing complex mixtures based on Nuclear Magnetic Resonance spectroscopy spectra. More precisely, we propose to solve a 2D blind source separation problem where signals (spectra) are highly sparse. The separation is formulated as a nonnegative matrix factorization problem that is solved using a block coordinate ...
Cherni, Afef, Piersanti, Elena, Chaux, Caroline   +2 more
openaire   +1 more source

Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors. [PDF]

Biomed Opt Express
Black D, Liquet B, Di Ieva A, Stummer W, Suero Molina E.   +4 more
europepmc   +1 more source