Design and implementation of aerial vehicle remote sensing and surveillance system, dehazing technique using modified dark channel prior

Abstract

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 correspondent 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.