Infrared machine vision and infrared thermography with deep learning: A review
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
Multimedia super-resolution via deep learning: A survey
K Hayat - Digital Signal Processing, 2018 - Elsevier
The recent phenomenal interest in convolutional neural networks (CNNs) must have made it
inevitable for the super-resolution (SR) community to explore its potential. The response has …
inevitable for the super-resolution (SR) community to explore its potential. The response has …
[HTML][HTML] A novel infrared video surveillance system using deep learning based techniques
This paper presents a new, practical infrared video based surveillance system, consisting of
a resolution-enhanced, automatic target detection/recognition (ATD/R) system that is widely …
a resolution-enhanced, automatic target detection/recognition (ATD/R) system that is widely …
Super-resolution via deep learning
K Hayat - arXiv preprint arXiv:1706.09077, 2017 - arxiv.org
The recent phenomenal interest in convolutional neural networks (CNNs) must have made it
inevitable for the super-resolution (SR) community to explore its potential. The response has …
inevitable for the super-resolution (SR) community to explore its potential. The response has …
Infrared thermography: philosophy, approaches, analysis—processing, and guidelines
The infrared thermography (IRT) technique has shown great potential with many
applications in a variety of fields, such as aerospace, petroleum, civil engineering, and so …
applications in a variety of fields, such as aerospace, petroleum, civil engineering, and so …
A review of single image super-resolution based on deep learning
N Zhang, ZX WY-C - 2020 - ir.ciomp.ac.cn
Super-resolution (SR) refers to an estimation of high resolution (HR) image from one or
more low resolution (LR) observations of the same scene, usually employing digital image …
more low resolution (LR) observations of the same scene, usually employing digital image …
基于深度学习的单幅图片超分辨率重构研究进展
张宁, 王永成, 张欣, 徐东东 - 自动化学报, 2020 - aas.net.cn
图像超分辨率重构技术是一种以一幅或同一场景中的多幅低分辨率图像为输入,
结合图像的先验知识重构出一幅高分辨率图像的技术. 这一技术能够在不改变现有硬件设备的 …
结合图像的先验知识重构出一幅高分辨率图像的技术. 这一技术能够在不改变现有硬件设备的 …
Deep learning super‐resolution electron microscopy based on deep residual attention network
Field‐emission scanning electron microscopy has become a fundamental research tool in
the fields of medicine and materials science owing to its effectiveness. However, an inherent …
the fields of medicine and materials science owing to its effectiveness. However, an inherent …
[HTML][HTML] Deep learning for super-resolution in a field emission scanning electron microscope
Gao, Huang, Hua, Lan - Ai, 2019 - mdpi.com
A field emission scanning electron microscope (FESEM) is a complex scanning electron
microscope with ultra-high-resolution image scanning, instant printing, and output storage …
microscope with ultra-high-resolution image scanning, instant printing, and output storage …