Results 81 to 90 of about 6,103 (201)

Study on the Effect of Surface Roughness on the Spectral Unmixing of Mixed Pixels

Journal of Spectroscopy, 2020
In the spectrum measurement experiment, the roughness of the object surface is an essential factor that cannot be ignored. In this experiment, a group of mixed pixel samples with different mixing ratios were designed, and these samples were printed on ...
Haonan Zhang, Xingping Wen, Junlong Xu, Dayou Luo, Ping He   +4 more
doaj   +1 more source

High‐resolution deuterium metabolic imaging of the human brain at 9.4 T using phase‐cycled balanced SSFP spectral–spatial acquisitions

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1304-1322, March 2026.
Abstract Purpose The aim was to improve the sensitivity and robustness against B0 inhomogeneities of deuterium metabolic imaging (DMI) using phase‐cycled balanced SSFP (bSSFP) methods at 9.4 T. Methods We investigated two variants of phase‐cycled bSSFP acquisitions, namely uniformly weighted multi‐echo and acquisition‐weighted chemical shift imaging ...
Praveen Iyyappan Valsala, Rolf Pohmann, Rahel Heule, Georgiy A. Solomakha, Nikolai I. Avdievich, Jörn Engelmann, Laura Kuebler, André F. Martins, Klaus Scheffler   +8 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

Remote Sensing Sediment–Albedo Feedbacks Affecting Ice Thickness on Taylor Valley Lakes, Antarctica

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract The McMurdo Dry Valleys are the largest unglaciated region in Antarctica and home to perennially frozen lakes. Thirty years of ice thickness measurements reveal meter‐scale fluctuations over decadal time scales. In this paper, we hypothesize that changing surface sediment dynamics alter ice albedo, changing the heat balance and thickness of ...
C. E. Dougherty, H. A. Dugan, P. T. Doran, L. Zoet, M. Salvatore   +4 more
wiley   +1 more source

SSF-Net: A Spatial–Spectral Features Integrated Autoencoder Network for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, deep learning has received tremendous attention in the field of hyperspectral unmixing (HU) due to its powerful learning capabilities.
Bin Wang, Huizheng Yao, Dongmei Song, Jie Zhang, Han Gao   +4 more
doaj   +1 more source

Noise Effect on Linear Spectral Unmixing

Annals of GIS, 1999
Abstract Using hyperspectral reflectance data collected from six types of surface covers, we synthesized linear mixtures and used them to test the sensitivity of two linear unmixing algorithms to simulated additive noise. We found both algorithms were highly sensitive to noise. This may considerably limit their use in remote sensing.
P. Gong, A. Zhang
openaire   +1 more source

Impact of Spatial Scale on Optical Earth Observation‐Derived Seasonal Surface Water Extents

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Landsat‐derived products are the most prominent, publicly available sources of large‐scale surface water extent data. However, few studies have assessed the limitations of spatial scale on such products. Here, we mapped seasonal surface water extents utilizing high‐resolution (4.77 m) PlanetScope Basemap imagery and machine learning.
Mollie D. Gaines, Mirela G. Tulbure, Vinicius Perin, Darcy Boast, Henry Castellanos Quiroz, Rebecca Composto, Varun Tiwari, Júlio Canieta   +7 more
wiley   +1 more source

DMAE-HU: A novel deep multitasking autoencoder for hybrid hyperspectral unmixing in remote sensing

ICT Express
Hyperspectral unmixing (HU) is crucial for extracting material information from hyperspectral images (HSI) obtained through remote sensing. Although linear unmixing methods are widely used due to their simplicity, they only address linear mixing effects.
Suresh Aala, Prudhvi Krishna Pavuluri, Anuj Deshpande, Sravan Kumar Sikhakolli, Karthikeyan Elumalai, Sunil Chinnadurai, Eswar Panchakarla, Md. Abdul Latif Sarker, Dong Seog Han   +8 more
doaj   +1 more source

Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals. [PDF]

Biol Open, 2023
Gándara L, Durrieu L, Wappner P.
europepmc   +1 more source

Facile Bottom‐Up Assembly of Photonic Micropatterns via Surface‐Guided Colloidal Crystallization

Advanced Materials, Volume 38, Issue 7, 2 February 2026.
High‐resolution photonic micropatterns with vivid structural colors are fabricated through bottom‐up assembly, guided by surface‐dependent regioselective heterogeneous nucleation and crystal growth of colloidal particles. Full‐spectrum color tunability is achieved by controlling particle size and interparticle attraction, while in situ color mixing is ...
Yongseok Jung, Sehee Yang, Sanghyuk Park, Shin‐Hyun Kim   +3 more
wiley   +1 more source