The visibility in a region not only reflects the quality of the atmospheric environment, but also
has close relationship with people's life. In general, low visibility weather affects people's …

To improve the quality of video surveillance outdoors and to automatically acquire the
weather situations, a method to recognize weather situations in outdoor images is …

In this paper, we propose a method to classify road weather conditions into rain, fog, and
sun using a SVM (Support Vector Machine) classifier after extracting weather features from …

To improve the quality of video surveillance in outdoor and automatic acquire of the weather
situations, a method to recognize weather phenomenon based on outdoor images is …

Most of vision based transport parameter detection algorithms are designed to be executed
in good-natured weather conditions. However, limited visibility in rain or fog strongly …

A single image based haze weather recognition is the fundamental operation of the
applications of outdoor computer vision. Currently, the recognition results are remains …

Weather recognition is widely required in many areas, and it is also a challenging and brand-
new subject. This paper proposes an approach to recognize weather based on images …

Aiming at the problem of video image captured by the monitoring system under the
conditions of haze, rain, snow and uneven illumination, a classification method of different …

As the traditional methods for the recognition of air visibility level have the disadvantages of
high cost, complicated operation, and the need to set markers, this paper proposes a novel …

Multiple weather image classification is a very important topic in real life. Convolutional
Neural Network (CNN) is a feedforward neural network that excels in image processing, but …