Results 11 to 20 of about 5,333 (191)
Solution of the inverse spectral problem for differential operators on a finite interval with complex weights [PDF]
Non-self-adjoint second-order ordinary differential operators on a finite interval with complex weights are studied. Properties of spectral characteristics are established, and the inverse problem of recovering operators from their spectral ...
Yurko, Vjacheslav Anatol'evich
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Inverse Spectral Problems for Arbitrary-Order Differential Operators with Distribution Coefficients
In this paper, we propose an approach to inverse spectral problems for the n-th order (n≥2) ordinary differential operators with distribution coefficients.
Natalia P. Bondarenko
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An Inverse Spectral Problem for Sturm – Liouville Operators with Singular Potentials on Graphs with a Cycle [PDF]
This paper is devoted to the solution of inverse spectral problems for Sturm – Liouville operators with singular potentials from class W2−1 on graphs with a cycle.
Vasilev, Sergei V.
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Water body mapping is an effective way to monitor dynamic changes in surface water, which is of great significance for water resource management. Super-resolution mapping is a valid method to generate high-resolution dynamic water body maps from low ...
Xiaohong Yang +3 more
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Hyperspectral image classification is essential for satellite Internet of Things (IoT) to build a large scale land-cover surveillance system. After acquiring real-time land-cover information, the edge of the network transmits all the hyperspectral images
Ning Lv +6 more
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We consider the non-self-adjoint Sturm–Liouville operator on a finite interval. The inverse spectral problem is studied, which consists in recovering this operator from its eigenvalues and generalized weight numbers.
Natalia P. Bondarenko
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On Recovering Differential Operators on a Closed Set from Spectra [PDF]
The Sturm – Liouville differential operators on closed sets of the real line are considered. Properties of their spectral characteristics are obtained and the inverse problem of recovering the operators from their spectra is studied. An algorithm for the
Yurko, Vyacheslav Anatol'evich
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Current research on the reconstruction of hyperspectral images from RGB images using deep learning mainly focuses on learning complex mappings through deeper and wider convolutional neural networks (CNNs).
Wenju Wang, Jiangwei Wang
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Spectral mapping methods applied to LiDAR data: Application to fuel type mapping [PDF]
Peer ...
Margarita Huesca +2 more
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Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping
The World Health Organization has reported that the number of worldwide urban residents is expected to reach 70% of the total world population by 2050.
Yasmine Megahed +2 more
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