Research on super-resolution reconstruction of remote sensing images: A comprehensive review
H Liu, Y Qian, X Zhong, L Chen, G Yang - Optical Engineering, 2021 - spiedigitallibrary.org
The super-resolution (SR) reconstruction of remote sensing images is a low-cost and
efficient method to improve their resolution, and it is often used for further image analysis. To …
efficient method to improve their resolution, and it is often used for further image analysis. To …
A spectral and spatial transformer for hyperspectral remote sensing image super-resolution
B Wang, J Chen, H Wang, Y Tang… - International Journal of …, 2024 - Taylor & Francis
Due to the generally low spatial resolution of hyperspectral images (HSIs), early
multispectral images lacked corresponding panchromatic bands, and as a result, fusion …
multispectral images lacked corresponding panchromatic bands, and as a result, fusion …
Improving Water Quality Prediction and Monitoring Using Machine Learning Algorithms
M Preetham, M Krishnan - 2023 12th International Conference …, 2023 - ieeexplore.ieee.org
Within the framework of growing worldwide environmental apprehensions, the significance
of conserving water resources and maintaining ecological balance has been progressively …
of conserving water resources and maintaining ecological balance has been progressively …
License plate text recognition using deep learning, NLP, and image processing techniques
H Moussaoui, N El Akkad, M Benslimane - Statistics, Optimization & …, 2024 - iapress.org
Detecting license plates has never been easy, particularly with the proliferation of
sophisticated radars on highways and roads. By 2021, the gendarmerie and National …
sophisticated radars on highways and roads. By 2021, the gendarmerie and National …
An effective super resolution image reconstruction using spatial entropy based normalized deep convolutional neural network
R Ramya, M Senthilmurugan - Multimedia Tools and Applications, 2022 - Springer
The main aim of Super Resolution (SR) is to obtain high quality image with high resolution
from Low Resolution (LR) images. In numerous computer vision systems, the SR from a …
from Low Resolution (LR) images. In numerous computer vision systems, the SR from a …
Parameterized interpolation for fusion of multidimensional signals of various resolutions
MV Gashnikov - Computer Optics, 2020 - ui.adsabs.harvard.edu
Parameterized interpolation algorithms are adapted to fusion of multidimensional signals of
various resolutions. Interpolating functions, switching rules for them and local features are …
various resolutions. Interpolating functions, switching rules for them and local features are …
A novel approach for mitigating atmospheric turbulence using weighted average Sobolev gradient and Laplacian
Heat scintillation mainly leads to atmospheric turbulence which causes the image distortion
due to the propagation of light through the volatile environment. The change in the refractive …
due to the propagation of light through the volatile environment. The change in the refractive …
Параметризованная интерполяция при комплексировании многомерных сигналов различного разрешения
МВ Гашников - Компьютерная оптика, 2020 - cyberleninka.ru
Производится адаптация параметризованных алгоритмов интерполяции к задаче
комплексирования многомерных сигналов различного разрешения. Конкретизируются …
комплексирования многомерных сигналов различного разрешения. Конкретизируются …