Results 111 to 120 of about 423,442 (225)

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  

Multitask Diffusion Adaptation over Networks [PDF]

, 2013
Adaptive networks are suitable for decentralized inference tasks, e.g., to monitor complex natural phenomena. Recent research works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum ...
Chen, Jie, Richard, Cédric, Sayed, Ali. H.   +2 more
core  

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

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

Unmixing biological fluorescence image data with sparse and low-rank Poisson regression. [PDF]

Bioinformatics, 2023
Wang R, Lemus AA, Henneberry CM, Ying Y, Feng Y, Valm AM.   +5 more
europepmc   +1 more source

Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications. [PDF]

Vis Comput Ind Biomed Art
Wang L, Zeng W, Long K, Chen H, Lan R, Liu L, Siok WT, Wang N.   +7 more
europepmc   +1 more source

Assessing Changes in Grassland Species Distribution at the Landscape Scale Using Hyperspectral Remote Sensing. [PDF]

Sensors (Basel)
Ohiaeri O, Portillo-Quintero C, Laza H.
europepmc   +1 more source

Highly accurate image registration for 3D multiplexed cyclic imaging using dense labeling in expandable tissue gels. [PDF]

PLoS Biol
Kim H, Kim JG, Sim J, Nam H, Cho I, Shin H, Kwon J, Song DH, Bae S, Yoon YG, Ku T, Chang JB.   +11 more
europepmc   +1 more source