Using super-resolution algorithms for small satellite imagery: A systematic review
K Karwowska, D Wierzbicki - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
In recent years, we have witnessed significant development in the space sector, in particular
regarding Earth imaging. Small satellites, whose size and construction make their …
regarding Earth imaging. Small satellites, whose size and construction make their …
Squigglemilli: Approximating sar imaging on mobile millimeter-wave devices
This paper proposes SquiggleMilli, a system that approximates traditional Synthetic Aperture
Radar (SAR) imaging on mobile millimeter-wave (mmWave) devices. The system is capable …
Radar (SAR) imaging on mobile millimeter-wave (mmWave) devices. The system is capable …
[HTML][HTML] Computational limits to the legibility of the imaged human brain
Our knowledge of the organisation of the human brain at the population-level is yet to
translate into power to predict functional differences at the individual-level, limiting clinical …
translate into power to predict functional differences at the individual-level, limiting clinical …
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
Abstract A Completely Automated Public Turing Test to tell Computers and Humans Apart
(CAPTCHA) is used in web systems to secure authentication purposes; it may break using …
(CAPTCHA) is used in web systems to secure authentication purposes; it may break using …
Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor
Automatic brain tumor segmentation using several image processing techniques supports
early diagnosis and provides useful information for treatment planning. However, due to the …
early diagnosis and provides useful information for treatment planning. However, due to the …
Recent progress in the correlative structured illumination microscopy
M Wang, J Chen, L Wang, X Zheng, J Zhou, Y Zeng… - Chemosensors, 2021 - mdpi.com
The super-resolution imaging technique of structured illumination microscopy (SIM) enables
the mixing of high-frequency information into the optical transmission domain via light …
the mixing of high-frequency information into the optical transmission domain via light …
Constrained CycleGAN for effective generation of ultrasound sector images of improved spatial resolution
Objective. A phased or a curvilinear array produces ultrasound (US) images with a sector
field of view, which inherently exhibits spatially-varying image resolution with inferior quality …
field of view, which inherently exhibits spatially-varying image resolution with inferior quality …
An investigation into the deep learning approach in sentimental analysis using graph-based theories
M Kentour, J Lu - Plos one, 2021 - journals.plos.org
Sentiment analysis is a branch of natural language analytics that aims to correlate what is
expressed which comes normally within unstructured format with what is believed and …
expressed which comes normally within unstructured format with what is believed and …
[PDF][PDF] Effective and Efficient Video Compression by the Deep Learning Techniques.
K Panneerselvam, K Mahesh… - … Systems Science & …, 2023 - cdn.techscience.cn
Deep learning has reached many successes in Video Processing. Video has become a
growing important part of our daily digital interactions. The advancement of better resolution …
growing important part of our daily digital interactions. The advancement of better resolution …
SAR image despeckling using a CNN guided by high-frequency information
S Tao, X Li, X Ye, H Wang, X Li - Journal of Electromagnetic Waves …, 2023 - Taylor & Francis
Preserving image details is a challenging and significant task for synthetic aperture radar
(SAR) image despeckling. In this paper, we proposed a high-frequency information …
(SAR) image despeckling. In this paper, we proposed a high-frequency information …