Results 61 to 70 of about 152,938 (206)

Spectral Unmixing of Pigments on Surface of Painted Artefacts Considering Spectral Variability [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Painted artefacts, such as murals and paintings, are the treasures of human civilization. Pigment is an important component of their surfaces. It is crucial to study the composition and proportion of pigments on the surface of painted artefacts for the ...
Y. Wang, Y. Wang, S. Lyu, S. Lyu, B. Ning, D. Yan, M. Hou, M. Hou, P. Sun, P. Sun, L. Li   +10 more
doaj   +1 more source

Spectral and Photometric Studies of NGC 4151 in the Optical Range: Current Results

Universe
We present the results of long-term photometric and spectroscopic monitoring of the Seyfert galaxy NGC 4151 based on new observational data complemented by archival material spanning several decades. NGC 4151 is one of the most extensively studied active
Nazim Huseynov, Saule Shomshekova, Alexander Serebryanskiy, Luydmila Kondratyeva, Samira Rahimli, Gabit Nazymbekov, Inna Reva, Gaukhar Aimanova   +7 more
doaj   +1 more source

Seasonal and interannual variability of North American isoprene emissions as determined by formaldehyde column measurements from space [PDF]

, 2003
Formaldehyde (HCHO) columns measured from space by solar UV backscatter allow mapping of reactive hydrocarbon emissions. The principal contributor to these emissions during the growing season is the biogenic hydrocarbon isoprene, which is of great ...
Chance, K. V., Abbot, Dorian S, Palmer, Paul I, Guenther, Alex, Palmer, P. I., Jacob, Daniel J, Guenther, A., Martin, Randall V, Chance, Kelly V, Abbot, D. S., Martin, R. V., Jacob, D. J.   +11 more
core   +1 more source

Target Detection Adapting to Spectral Variability in Multi-Temporal Hyperspectral Images Using Implicit Contrastive Learning

Remote Sensing
Hyperspectral target detection (HTD) is a crucial aspect of remote sensing applications, aiming to identify targets in hyperspectral images (HSIs) based on their known prior spectral signatures.
Xiaodian Zhang, Kun Gao, Junwei Wang, Pengyu Wang, Zibo Hu, Zhijia Yang, Xiaobin Zhao, Wei Li   +7 more
doaj   +1 more source

Variability of updated finite element models and their predictions consistent with vibration measurements

, 2011
A case study on a small-scale laboratory vehicle frame is used to investigate the variability of the updated finite element (FE) models that arises from model and measurement errors and demonstrate the effect of this variability on response predictions ...
Natsiavas, S., Evangelos Ntotsios, Ntotsios, Evangelos, Natsiavas, Sotirios, Sotirios Natsiavas, Giagopoulos, Dimitrios, Ntotsios, E., Papadimitriou, Costas, Giagopoulos, D., Dimitrios Giagopoulos, Papadimitriou, C., Costas Papadimitriou   +11 more
core   +1 more source

AD-HKFCM: A Robust Nonlinear Spectral Variability-Aware Unmixing via Intra/Inter-Class Affinity Cohesion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral variability and nonlinear mixing interactions critically degrade spectral unmixing accuracy, especially in heterogeneous environments. To address these challenges, this study proposes a robust nonlinear spectral variability-aware unmixing model,
Jie Yu, Xin Chen, Yi Lin, Yu Rong, Junbo Lv, Yuxuan Yang, Daiqi Zhong, Yiyuan Tian, Yi Jing, Xiaonan Yang   +9 more
doaj   +1 more source

The spectral analysis of motion: An "open field" activity test example [PDF]

Acta Veterinaria, 2013
In this work we have described the new mathematical approach, with spectral analysis of the data to evaluate position and motion in the „„open field““ experiments.
Obradović Z., Pantović Suzana, Ilić V., Jorgovanović N., Čolić Maja, Gajović Olgica, Stojanović Jelica, Rosić M.   +7 more
doaj   +1 more source

On the Fast Spectral Variability of GRBs [PDF]

, 2003
3 pages with 2 figures; to appear in the Proceedings of the workshop "Gamma-Ray Bursts in the Afterglow Era: 2nd Workshop", held in Rome, October 17-20 ...
Mazets, E. P., Aptekar, R. L., Butterworth, P. S., Cline, T. L., Frederiks, D. D., Golenetskii, S. V., Il'inskii, V. N., Pal'shin, V. D.   +7 more
openaire   +2 more sources

CPMFFormer: Class-Aware Progressive Multiscale Fusion Transformer for Hyperspectral Image Classification

Remote Sensing
Hyperspectral image (HSI) classification is a basic and significant task in remote sensing, the aim of which is to assign a class label to each pixel in an image. Recently, deep learning networks have been widely applied in HSI classification.
Meng Zhang, Yi Yang, Sixian Zhang, Pengbo Mi, Deqiang Han   +4 more
doaj   +1 more source

Spectral Variability of Light-Emitting Diodes with Angle

Conference on Colour in Graphics, Imaging, and Vision, 2010
Multispectral systems allow the spectral characterization of the scene through several acquisition channels with different spectral features. The spectral sampling can be done by using transmittance filters and a white light source or illuminating the scene using light sources with different spectral emission characteristics.
Martínez, Óscar, Vilaseca Ricart, Meritxell, Pizarro Bondia, Carlos, Ferrer, Edgard, Arjona Carbonell, Mª Montserrat, Pujol Ramo, Jaume   +5 more
openaire   +3 more sources