Results 91 to 100 of about 423,442 (225)
Hyperspectral Unmixing with Robust Collaborative Sparse Regression
Remote Sensing, 2016 Recently, sparse unmixing (SU) of hyperspectral data has received particular attention for analyzing remote sensing images. However, most SU methods are based on the commonly admitted linear mixing model (LMM), which ignores the possible nonlinear ...
Chang Li +4 more
doaj +1 more source
Robust Linear Spectral Unmixing using Anomaly Detection
, 2015 This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data. The model proposed assumes that the pixel reflectances are linear mixtures of unknown endmembers, corrupted by ...
Altmann, Yoann +2 more
core +1 more source
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization
, 2013 Incorporating spatial information into hyperspectral unmixing procedures has been shown to have positive effects, due to the inherent spatial-spectral duality in hyperspectral scenes.
Chen, Jie +2 more
core +1 more source
Hyperspectral change detection by sparse unmixing with dictionary pruning
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 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 nature of the change, and sub-pixel level information.
Ertiirk, Alp +2 more
openaire +3 more sources
Journal of Quaternary Science, Volume 41, Issue 1, Page 4-24, January 2026.ABSTRACT The sediment signature of glacial erosion products exported from Hudson Strait to the Labrador Sea during Hudson Strait Heinrich (HS‐H) events is evaluated using four distinct proxies: paired δ18Ο and δ13C data on the carbonate fraction, εNd and U–Pb isotopes in the silicate fraction, the mineral composition of the <2 mm bulk sediment fraction,
John T. Andrews +3 more
wiley +1 more source
Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning
Remote Sensing, 2019 Spectral unmixing extracts subpixel information by decomposing observed pixel spectra into a collection of constituent spectra signatures and their associated fractions.
Zeng Li, Jie Chen, Susanto Rahardja
doaj +1 more source
Geochemistry, Geophysics, Geosystems, Volume 27, Issue 1, January 2026.Abstract Natural volcanic glasses are well represented in the geologic record, and typically contain near‐ideal single‐domain particles required for standard Thellier‐type absolute paleointensity experiments. Young (<∼50–100 ka) glasses have been demonstrated to reliably record Earth's magnetic field.
Julie A. Bowles +3 more
wiley +1 more source
Double Reweighted Sparse Regression and Graph Regularization for Hyperspectral Unmixing
Remote Sensing, 2018 Hyperspectral unmixing, aiming to estimate the fractional abundances of pure spectral signatures in each mixed pixel, has attracted considerable attention in analyzing hyperspectral images.
Si Wang +4 more
doaj +1 more source
Generalized linear mixing model accounting for endmember variability
, 2017 Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images.
Bermudez, José Carlos Moreira +2 more
core +1 more source
New Phytologist, Volume 249, Issue 1, Page 448-459, January 2026.Summary Mycorrhizal associations between fungi and plants are a fundamental aspect of terrestrial ecosystems. Mycorrhizas occur in c. 85% of extant plants, yet their geological record remains sparse. Rare fossil evidence from early terrestrial environments offers crucial insights into these ancient symbioses, but visualizing fossil fungi at the ...
Christine Strullu‐Derrien +7 more
wiley +1 more source