Results 41 to 50 of about 255,777 (278)

Compressed sensing of monostatic and multistatic SAR [PDF]

, 2009
In this paper we study the impact of sparse aperture data collection of a SAR sensor on reconstruction quality of a scene of interest. Different mono and multi-static SAR measurement configurations produce different Fourier sampling patterns.
Cetin, Mujdat, Karl, W. Clem, Stojanovic, Ivana, Çetin, Müjdat   +3 more
core   +1 more source

Spectral surface reconstruction from noisy point clouds [PDF]

Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing, 2004
We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each tetrahedron is inside or outside the original object.
Kolluri, Ravikrishna, Shewchuk, Jonathan Richard, O'Brien, James F   +2 more
openaire   +4 more sources

Inverse spectral problems for energy-dependent Sturm-Liouville equations

, 2012
We study the inverse spectral problem of reconstructing energy-dependent Sturm-Liouville equations from their Dirichlet spectra and sequences of the norming constants.
Ablowitz M J, Adamjan V, Albeverio S, Albeverio S, Albeverio S, Engel K-J, Gasymov M G, Gasymov M G, Gel'fand I, Gohberg I, Gohberg I C, Gusei˘nov G S, Gusei˘nov I M, Hryniv R O, Hryniv R O, Jaulent M, Jaulent M, Jaulent M, Jonas P, Kamimura Y, Kappeler T, Kato T, Levitan B M, Maksudov F G, Maksudov F G, Markus A S, Nabiev A A, Nabiev A A, Nabiev I M, Nabiev I M, Nataliya Pronska, Pronska N, Pronska N, Pronska N, Riesz F, Rostyslav Hryniv, Sattinger D H, Savchuk A M, Savchuk A M, Savchuk A M, Savchuk A M, Serier F, Yamamoto M   +42 more
core   +1 more source

Spectral perturbation and reconstructability of complex networks

Physical Review E, 2010
In recent years, many network perturbation techniques, such as topological perturbations and service perturbations, were employed to study and improve the robustness of complex networks. However, there is no general way to evaluate the network robustness. In this paper, we propose a new global measure for a network, the reconstructability coefficient
Liu, D. (author), Wang, H. (author), Van Mieghem, P. (author)   +2 more
openaire   +6 more sources

A Novel Hyperspectral Image Simulation Method Based on Nonnegative Matrix Factorization

Remote Sensing, 2019
Hyperspectral (HS) images can provide abundant and fine spectral information on land surface. However, their applications may be limited by their narrow bandwidth and small coverage area.
Zehua Huang, Qi Chen, Qihao Chen, Xiuguo Liu, Hao He   +4 more
doaj   +1 more source

Voyager 2 solar plasma and magnetic field spectral analysis for intermediate data sparsity [PDF]

, 2015
The Voyager probes are the furthest, still active, spacecraft ever launched from Earth. During their 38-year trip, they have collected data regarding solar wind properties (such as the plasma velocity and magnetic field intensity).
Fosson, Sophie M., Fraternale, Federico, Gallana, Luca, Iovieno, Michele, Magli, Enrico, Opher, Merav, Richardson, John D., Tordella, Daniela   +7 more
core   +3 more sources

Femtosecond spectral electric field reconstruction using coherent transients [PDF]

, 2005
We have implemented a new approach for measuring the time-dependent intensity and phase of ultrashort optical pulses. It is based on the interaction between shaped pulses and atoms, leading to coherent transients.Comment: 4 pages Accepted in Optics ...
Chatel, Béatrice, Girard, Bertrand, Monmayrant, Antoine   +2 more
core   +1 more source

A Recurrent Feedback Hyperspectral Image Super-Resolution Reconstruction Method by Using Self-Attention-Based Pixel Awareness

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images (HSIs) contain abundant spectral information, while the spatial resolution is usually limited. To obtain high-spatial-resolution HSIs, various HSI super-resolution (SR) methods are proposed.
Ruyi Feng, Zhongyu Guo, Xiaofeng Wang
doaj   +1 more source

Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

, 2018
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i.e., the data usability is greatly reduced.
Li, Xinghua, Wei, Yancong, Yuan, Qiangqiang, Zeng, Chao, Zhang, Qiang   +4 more
core   +1 more source

Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging [PDF]

, 2013
This paper presents several strategies for spectral de-noising of hyperspectral images and hypercube reconstruction from a limited number of tomographic measurements.
Aeron, Shuchin, Ely, Gregory, Miller, Eric L.   +2 more
core   +1 more source