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Molecular Oncology, Volume 20, Issue S1, Page 1-692, August 2026.Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley +1 more source
HYPERSPECTRAL CHANGE DETECTION BY SPARSE UNMIXING WITH DICTIONARY PRUNING
, 2015 Hyperspectral change detection is used in many applications ranging from environmental monitoring to city planning and military surveillance. Change detection by unmixing has the potential of not only providing the locations of the changes, but also the ...
Iordache, Marian-Daniel +2 more
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Blind Hyperspectral Unmixing With Integrated Nonsmooth and CEM Spatial Constraints
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral blind unmixing serves as a key technique in remote sensing image processing. Its core value lies in the ability to extract endmember spectral signatures and invert abundance fractions from mixed pixels without relying on prior endmember ...
Shaoquan Zhang +7 more
doaj +1 more source
Temperature scaling unmixing framework based on convolutional autoencoder
International Journal of Applied Earth Observations and GeoinformationHyperspectral 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 +4 more
doaj +1 more source
MathematicsSparse 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 +3 more
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A Theory-Guided Transformer for Interpretable Hyperspectral Unmixing
Remote SensingHyperspectral unmixing (HU) is fundamental for conducting quantitative analyses in remote sensing, yet existing methods face a persistent tradeoff between model performance and physical interpretability.
Hongyue Cao +4 more
doaj +1 more source
Hyperspectral unmixing with Sparse Group Lasso
, 2011 Sparse unmixing has been recently introduced as a mecha-nism to characterize mixed pixels in remotely sensed hyper-spectral images. It assumes that the observed image signa-tures can be expressed in the form of linear combinations of a number of pure ...
Marian-daniel Iordache +3 more
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Manifold regularization for sparse unmixing of hyperspectral images. [PDF]
Springerplus, 2016 Liu J, Zhang C, Zhang J, Li H, Gao Y.
europepmc +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 SensingHyperspectral 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
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Spectral Separation of Quantum Dots within Tissue Equivalent Phantom Using Linear Unmixing Methods in Multispectral Fluorescence Reflectance Imaging [PDF]
Introduction Non-invasive Fluorescent Reflectance Imaging (FRI) is used for accessing physiological and molecular processes in biological media. The aim of this article is to separate the overlapping emission spectra of quantum dots within tissue ...
نجف زاده, ابراهیم +3 more
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