Single-image dehazing based on two-stream convolutional neural network

J Meng, Y Li, HH Liang, Y Ma - Journal of Artificial Intelligence …, 2022 - ojs.istp-press.com
The haze weather environment leads to the deterioration of the visual effect of the image,
and it is difficult to carry out the work of the advanced vision task. Therefore, dehazing the …

[HTML][HTML] Remote sensing image defogging networks based on dual self-attention boost residual octave convolution

Z Zhu, Y Luo, G Qi, J Meng, Y Li, N Mazur - Remote Sensing, 2021 - mdpi.com
Remote sensing images have been widely used in military, national defense, disaster
emergency response, ecological environment monitoring, among other applications …

[PDF][PDF] An improved watershed algorithm on multi-directional edge detection for road extraction in remote images

K Lv, W Wang, Z Zhou, X Wang - Int. J. Innov. Comput. Inf. Control, 2022 - ijicic.org
Road detection on aerial and remote sensing vague images is a hard task. In this study, an
automatic road detection algorithm is proposed. The algorithm utilizes the multi-directional …

A cross layer graphical neural network based convolutional neural network framework for image dehazing

M Pavethra, M Uma Devi - Automatika, 2024 - Taylor & Francis
The current version of imaging equipment cannot quickly and effectively make up for the
reduction of visibility triggered by bad weather. Traditional strategies minimize hazy impacts …

[HTML][HTML] Traffic safety assessment method of the immersed tunnel based on small target visual recognition image

M Yang, S Lu, H Ding, J Chen - Frontiers in Physics, 2023 - frontiersin.org
The quality of lighting installation performance has a direct impact on the traffic safety of
immersed tunnels. To effectively investigate and judge the traffic safety of immersed tunnels …