Results 81 to 90 of about 828,208 (170)

Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]

, 2013
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James, Soori, Umair, Hong, Kan, Ibrahim, Izzati, Richardson, Mark A., Yuen, Peter W. T., Chen, Tong   +6 more
core   +1 more source

SSTNT: A Spatial–Spectral Similarity Guided Transformer-in-Transformer for Hyperspectral Unmixing

Photonics
Vision Transformers (ViTs), owing to their strong capability in modeling global contextual dependencies, have been widely adopted in hyperspectral image unmixing (HU).
Xinyu Cui, Xinyue Zhang, Aoran Dai, Da Sun   +3 more
doaj   +1 more source

Deep Half-Siamese Networks for Hyperspectral Unmixing

, 2021
International audienceOver the past decades, numerous methods have been proposed to solve the linear or nonlinear mixing problems in hyperspectral unmixing (HU).
Hong, Danfeng, Zhang, Bing, Gao, Lianru, Chanussot, Jocelyn, Han, Zhu   +4 more
core   +1 more source

Unsupervised Bayesian linear unmixing of gene expression microarrays [PDF]

, 2013
Background: This paper introduces a new constrained model and the corresponding algorithm, called unsupervised Bayesian linear unmixing (uBLU), to identify biological signatures from high dimensional assays like gene expression microarrays. The basis for
Ginsburg, Geoffrey S, Hero, Alfred O., Bazot, Cécile, Dobigeon, Nicolas, Tourneret, Jean-Yves, O Hero III, Alfred, Zaas, Aimee K., Zaas, Aimee K, Ginsburg, Geoffrey S.   +8 more
core   +1 more source

An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]

, 2010
: Straightforward mapping of detailed heathland habitat patches and their quality using remote sensing is hampered by (1) the intrinsic property of a high heterogeneity in habitat species composition (i.e.
Spanhove, T., Scheunders, Paul, Scheunders, P., Haest, B., Thoonen, G., Bertels, L., Kooistra, L., Thoonen, Guy, Vanden Borre, J., Mücher, C.A., Delalieux, S., Mucher, C. A.   +11 more
core  

Multimodal Hyperspectral Unmixing: Insights From Attention Networks

, 2022
International audienceDeep learning (DL) has aroused wide attention in hyperspectral unmixing (HU) owing to its powerful feature representation ability.
Hong, Danfeng, Zhang, Bing, Gao, Lianru, Yao, Jing, Chanussot, Jocelyn, Han, Zhu   +5 more
core   +1 more source

Abstracts

Molecular Oncology, Volume 19, Issue S1, Page 1-940, June 2025.
Abstracts submitted to the ‘EACR 2025 Congress: Innovative Cancer Science’, from 16–19 June 2025 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

Adaptive Multiorder Graph Regularized NMF With Dual Sparsity for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing (HU) is a critical yet challenging task in remote sensing. However, existing nonnegative matrix factorization (NMF) methods with graph learning mostly focus on first-order or second-order nearest neighbor relationships and usually ...
Hui Chen, Liangyu Liu, Xianchao Xiu, Wanquan Liu   +3 more
doaj   +1 more source

Efficient Blind Hyperspectral Unmixing Framework Based on CUR Decomposition (CUR-HU)

Remote Sensing
Hyperspectral imaging captures detailed spectral data for remote sensing. However, due to the limited spatial resolution of hyperspectral sensors, each pixel of a hyperspectral image (HSI) may contain information from multiple materials.
Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan   +2 more
doaj   +1 more source

Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General $\ell _{q}$ Norm Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, nonnegative matrix factorization (NMF)-based ones have
Saeid Gholinejad, Alireza Amiri-Simkooei
doaj   +1 more source