Results 121 to 130 of about 1,362 (207)

Alteration of a Mantle‐Derived Dunite Boulder in Jezero Crater, Mars

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract In 2023, the Mars 2020 Perseverance rover explored the youngest preserved deposits on the Western fan of Jezero crater, Mars: a field of meter‐scale boulders dispersed above the previously explored sandstone and siltstone units. Reflectance spectra of the boulders delineated two classes, one olivine‐bearing and one pyroxene‐bearing.
E. L. Moreland, M. Bramble, K. L. Siebach, A. C. Pascuzzo, M. Morris, S. J. VanBommel, M. Jones, S. Siljeström, A. Srivastava, A. H. Treiman, J. Hurowitz   +10 more
wiley   +1 more source

Unmixing of hyperspectral data by incorporating spectral variability and spatial information [PDF]

, 2016
Spectral unmixing enables quantitative information on the abundances of cover types to be estimated within each image pixel. Although many spectral unmixing methods have been developed, many of these cannot consider endmember variability, nor do they ...
Uezato, Tatsumi
core  

Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability [PDF]

Given a hyperspectral image, the problem of hyperspectral unmixing (HU) is to identify the endmembers (or materials) and the abundance (or endmembers' contributions on pixels) that underlie the image. HU can be seen as a matrix factorization problem with
Liu, Junbin, Ma, Wing-Kin, Li, Yuening
core   +1 more source

A Spectral Variability and Class-Constrained Diffusion Model for Unsupervised Hyperspectral Unmixing

Remote Sensing
Hyperspectral remote sensing is increasingly utilized due to its high spectral resolution and broad observational capabilities, and hyperspectral unmixing aims to decompose mixed pixels into their constituent endmembers with corresponding classes.
Mingwei Wang, Kaiyuan Yang, Jingyan Lu, Wei Liu, Tian Zeng   +4 more
doaj   +1 more source

A Global-to-Local Spectral-Spatial Attention-Based Nonlinearity and Scaled Endmember Variability Parametric Learning Network for Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing has attracted increasing attention in remote sensing applications. Unfortunately, significant unmixing residuals often arise from the coupled nonlinear mixing effects and spectral variability (SV), bringing challenges for reliably ...
Yi Zhao, Bin Yang
doaj   +1 more source

Assessing the discrepancies and uncertainties of regional shared and pixel-specific trapezoidal feature spaces using a Priestley-Taylor-based evapotranspiration model

GIScience & Remote Sensing
The vegetation index–land surface temperature (VI–LST) feature space method is widely used for regional evapotranspiration (ET) estimation, linking vegetation cover with the temperature–ET response while balancing model complexity and efficiency. The key
Lu Yang, Huade Guan, Songhao Shang
doaj   +1 more source

Holocene Aeolian Variability in Central Asia Inferred from Grain-Size End-Member Modeling of Sayram Lake Sediments

Quaternary
Arid Central Asia (ACA) is a major source of atmospheric dust in the Northern Hemisphere; however, the evolutionary models and driving mechanisms of Holocene aeolian activity in this region remain debated.
Shuang Yang, Yuchen Xu, Longjuan Cheng, Dongliang Ning, Dejun Wan, Qingfeng Jiang   +5 more
doaj   +1 more source

Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability [PDF]

, 2015
International audienceThe Linear Mixing Model is often used to perform Hyperspec-tral Unmixing because of its simplicity, but it assumes that a single spectral signature can be completely representative of an endmember.
Henrot, Simon, Drumetz, Lucas, Veganzones, Miguel Angel, Jutten, Christian, Chanussot, Jocelyn   +4 more
core  

Endmember extraction algorithms from hyperspectral images [PDF]

, 2006
During the last years, several high-resolution sensors have been developed for hyperspectral remote sensing applications. Some of these sensors are already available on space-borne devices. Space-borne sensors are currently acquiring a continual stream
Aguilar, P. L., Cantero, M. C., Plaza, A., Martínez, P. J., Pérez, R. M., Plaza, J.   +5 more
core  

Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy. [PDF]

Anal Chem
Hahn J, Gune P, Hein S, Holtkamp W, Schulz MH, Matheis W, Öppling V, Kamp C.   +7 more
europepmc   +1 more source