Defogging of Monitoring Images of Soil and Water Conservation of Consumer UAV Based on Image Enhancement

Unmanned Aerial Vehicle (UAV) telemetry technology is a kind of remote sensing and photogrammetry system, which takes UAV as the flight platform and uses the onboard imaging equipment to obtain information such as remote sensing images or videos. It is very suitable for real-time acquisition of high-resolution remote sensing data in a small area. Because the monitoring work is complicated and the environment is diverse, and the survey and statistical data lags behind the change of soil erosion seriously, it is difficult to get accurate information in time for soil and water conservation monitoring, which adds great difficulty to soil and water conservation work. In this article, an image defogging algorithm based on image enhancement is proposed for consumer UAV soil and water conservation monitoring image. From the perspective of image processing, the restored image is finally obtained by performing white balance processing and contrast enhancement processing on the image respectively, based on image fusion and automatic color gradation processing. The speed optimization experiment is carried out by computer coding, and the images before and after defogging are quantitatively compared by objective image quality evaluation method. Experimental results show that compared with wavelet transform algorithm, this algorithm has better processing effect in image detail restoration and color fidelity.