What is it about?
After studying the aviation problems in Iraq, on one hand, and because Iraq has various weather characteristics due to its different terrains (i.e. mountains, plain fields, and deserts). We discussed these problems with pilots and aviation specialists, and came to the conclusion that the main offset faced is vision deficiency is foggy and dusty weather. Thus, the Iraqi aviation reconnaissance system was developed to overcome this hurdle by implementing instant image rendering by developing this technology to remove fog and such hazy particles utilizing dark channel prior (DCP) image processing algorithm since this method is highly capable of resolving the fog/haze weather condition problems. The DCP algorithm suggested showed a reasonable enhancement of the images with foggy, hazy, and dusty conditions when the Unmanned Aerial Vehicle (UAV) was used to capture images at various altitudes corresponding to the same height most helicopters and reconnaissance UAVs fly at. Our main contribution is based on the evaluation of optimal values of DCP parameters/metrics to the hazy images and performs UAV image dehazing and enhancement.
Featured Image
Photo by Sebastian Kurpiel on Unsplash
Why is it important?
The presence of haze reduces the perception of the Aerial imagery observed by the captured image in the UAV. Such deterioration affects computer vision systems' efficiency in aerial vehicle applications, including video monitoring, automatic vehicle navigating, and remote sensing. Light dispersion is caused by suspended objects, just like droplets of water or smog that can reduce the visibility in hazy environments. The degree of visibility losses depends upon the intensity and range among view objects and the observational location of the suspended particles in that environment. During the past years, studies have concentrated on creating effective computational methods to eliminate the effects of haze in aerial photogrammetry of the exterior surroundings. For example, the processing of many views captured during various hazy circumstances is an algorithm on which the research is based
Perspectives
This paper demonstrates the results of research into low altitude dehazing picture methods. The DCP algorithm has been used to eliminate the haze induced by the negative effect of the low atmosphere on UAV images. The variables of our algorithm were empirically determined. We have a strategy dedicated to low altitude photos, in particular for the most commonly used altitudes (in the range below 30 meters) for remote sensing with the UAV. The efficiency of the system proposed was assessed and many qualitative metrics were used to establish the effectiveness of our suggested algorithm. In comparison with other common methods used for dehazing images, the results of our experiments showed the effectiveness of our process. Moreover, the image data collection in various heights and atmospheric conditions is obtained by careful assessment of weather conditions using the UAV. We have shown that our approach is of significant value in terms of improving the image quality in different weather conditions.
Dr. Taif Alawsi
University of Technology
Read the Original
This page is a summary of: Design and Implementation of Aerial Vehicle Remote Sensing and Surveillance System, Dehazing Technique Using Modified Dark Channel Prior, Advances in Science Technology and Engineering Systems Journal, October 2020, ASTES Journal,
DOI: 10.25046/aj0505135.
You can read the full text:
Contributors
The following have contributed to this page
