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Visibility Estimation Using a Single Image

2017
In this paper, we propose a novel method for visibility estimation using only a single image as input. An assumption is proposed: the extinction coefficient of light is approximately a constant in clear atmosphere. Using this assumption with the theory of atmospheric radiation, the extinction coefficient in clear atmosphere can be estimated.
Qin Li 0010, Bin Xie
openaire   +2 more sources

Estimation of visibility using a visual image

Environmental Monitoring and Assessment, 2015
Optical-based visibility measurement instruments have been widely used to quantify atmospheric light extinction for decades. The light extinction coefficient is converted to visual range using a well-known formula since visibility is defined as the longest distance at which a black object can be observed against the horizon.
openaire   +2 more sources

Visible Light Imaging

2014
The visible light is that region of the electromagnetic spectrum that is detectable by the human eye, whose wavelength ranges from 400 to 700 nm.
openaire   +1 more source

MulFS-CAP: Multimodal Fusion-Supervised Cross-Modality Alignment Perception for Unregistered Infrared-Visible Image Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
In this study, we propose Multimodal Fusion-supervised Cross-modality Alignment Perception (MulFS-CAP), a novel framework for single-stage fusion of unregistered infrared-visible images.
Huafeng Li   +5 more
semanticscholar   +1 more source

Learning Based Visibility Measuring with Images

2011
Visibility is one of the major items of meteorological observation. Its accuracy is very important to air, sea and highways and transport. A method of visibility calculation based on image analysis and learning is introduced in this paper. First, visibility image is effectively represented by contrast based vision features.
Xu-Cheng Yin   +5 more
openaire   +2 more sources

Modified Yolov3 for Ship Detection with Visible and Infrared Images

Electronics (Switzerland), 2022
Yang-Lang Chang   +2 more
exaly  

EFASPP U-Net for semantic segmentation of night traffic scenes using fusion of visible and thermal images

Engineering Applications of Artificial Intelligence, 2023
Yasser Baleghi
exaly  

Coupled GAN With Relativistic Discriminators for Infrared and Visible Images Fusion

IEEE Sensors Journal, 2021
Gwanggil Jeon, Xiaomin Yang
exaly  

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