… channel prior and oriented filtering, which can reduce the impact of the foggy environment
and detect … images, it can be seen from Table 1 that the two training modes have significant …

… SIL-QDL based LG and MuxLG modes transmission over a foggy channel. (b) Single facet
… In this work, the transmitted signal is subject to a foggy channel. Such a channel will cause …

… and surveillance system, object detection. Different defogging … modes, we may take necessary
actions on each mode to … -math-0006 is the dark channel of the foggy image. If we put urn:x…

… accuracy of vehicle detection using the Faster R-CNN model in adverse weather conditions,
specifically, foggy conditions. In order to improve the performance of detection, we classified …

… is the single-channel distribution mode. In … -channel imaging method shows some advantages
in real-time acquisition and reliability due to the differences in design of detection channel …

… the propagation and mapping mode of dehaze medium into the … Neural Network) to detect
objects in foggy weather. This … method based on dark channel prior is improved to 29.2 % after …

… In foggy weather conditions, the existing methods of vehicle detection lack of robustness [1], …
vehicles also need to adopt different driving modes according to different visibility to improve …

… detection techniques using the satellite data. As satellites have different channels available
for day and night, fog detection … , including the output of numerical forecast mode. For this, the …

… foggy … foggy input frame taken in real-time and also from the “Foggy Cityscapes” dataset.
Figure 9b–f displays the result of the dark channel prior (He et al. 2011), improved dark channel …

… by fog towards ICT channels disturbs the human routine … the OAM mode number in propagating
through foggy atmosphere. … This work will be helpful to detect atmospheric aerosols and …