Results 261 to 270 of about 45,417 (317)

Analysis and Predictive Modeling of In Vitro Digestive Stability of Tea Polyphenols in 24 Tea Varieties

Food Frontiers, Volume 7, Issue 4, July 2026.
This study investigated the dynamic changes of tea polyphenols (TP) during in vitro digestion of 24 representative tea varieties. Electronic nose and color difference technology were employed to construct predictive models, enabling estimation of TP content before and after digestion.
Xinyi Li, Jingling Kang, Weiyao Wu, Huifan Liu, Yuming Zhong   +4 more
wiley   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Synthesis, Characterization, and Optical Properties of Undoped and Te‐Doped W(SxSe(1−x))2 and Core‐Shell WS2@W(SxSe(1−x))2 Nanotubes

Israel Journal of Chemistry, Volume 66, Issue 4, July 2026.
W(SxSe1−x)2, Te:WSSe, and WS2@WSSe nanotubes were synthesized through controlled precursor composition. The W(SxSe1−x)2 and Te:WSSe nanotubes exhibit small‐diameter (<30 nm), high‐yield, and well‐defined excitonic transitions. Composition tuning via S/Se ratios increases interlayer spacing with higher Se content. The incorporation of Te remains limited
Philip Nathaniel Immanuel, Neena Prasad, Akshay Puravankara, Stepan Kusak, Rita Rosentsveig, Yishay Feldman, Anna Eden‐Kossoy, Ifat Kaplan‐Ashiri, Vojtech Kundrat, Raul Arenal, Reshef Tenne, Lena Yadgarov   +11 more
wiley   +1 more source

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Watermarking of hyperspectral data

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Watermarking is drawing the interest of researchers in many areas due to developments in sharing resources. Watermarked data helps protect ownership rights and provides a means of detecting illegal use. In this paper, an adaptive watermarking method based on the Redundant Discrete Wavelet Transform (RDWT) is proposed and applied to hyperspectral ...
Hrishikesh Tamhankar, Lori M. Bruce, Nicolas H. Younan   +2 more
openaire   +1 more source

Robust classification of hyperspectral data

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
High dimensionality and highly correlated features are two important characteristics of hyperspectral data that leads to poor performance of conventional classification methods. Furthermore, hyperspectral sensors usually provide relatively low optical resolution, which implies that pixels are bound to cover a mixture of objects with different ...
Asbjørn Berge, Anne H. Schistad Solberg
openaire   +1 more source

Signal Processing for Hyperspectral Data

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
Hyperspectral data form a data-cube consisting of images of an object collected at several hundred, closely spaced wavelengths. They have been found to be of significant potential benefit in areas such as remote sensing of the Earth, medicine, and non-destructive evaluation.
Pramod K. Varshney, Manoj K. Arora, Raghuveer M. Rao   +2 more
openaire   +1 more source

Symbolic representation of hyperspectral data

Applied Optics, 1987
We have developed a symbolic representation of hyperspectral data using the scale space techniques of Witkin. We created a scale space image of hyperspectral data from convolution with Gaussian masks and then a fingerprint that extracts individual features from the original data.
M A, Piech, K R, Piech
openaire   +2 more sources

Temporal Mapping of Hyperspectral Data

2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019
The increasing popularity of hyperspectral sensors is dramatically increasing the temporal availability of data. To date, algorithms struggle to compare hyperspectral data collected across dates due to different environmental conditions during collection.
Ronald Fick, Paul D. Gader, Alina Zare, Susan Meerdink   +3 more
openaire   +1 more source

BRDF Normalization of Hyperspectral Image Data

IEEE International Geoscience and Remote Sensing Symposium, 2002
Monitoring vegetative areas with airborne hyperspectral sensors is being more frequently used to relate at-canopy spectral reflectance to canopy condition. Increased application of these techniques is expected with the advent of space borne hyperspectral systems (such as EO-1 Hyperion and CHRIS-PROBA).
H P White, L Sun, C Champagne, K Staenz, S G Leblanc   +4 more
openaire   +1 more source

Hyperspectral image data analysis

IEEE Signal Processing Magazine, 2002
The fundamental basis for space-based remote sensing is that information is potentially available from the electromagnetic energy field arising from the Earth's surface and, in particular, from the spatial, spectral, and temporal variations in that field.
openaire   +1 more source