无人机数字正射影像阴影区域补偿方法研究OA

Aiming at the problems of lack of spectral information of the features,decrease in contrast and blurred texture of features in the shaded region in the orthophoto data acquired by UAV,we propose the Auto-Levels AINDANE shadow compensation algorithm in HSV color space.Based on the AINDANE(adaptive and integrated neighborhood dependent approach for nonlinear enhancement)algorithm for global low-light image enhancement,the algorithm converts the RGB orthophoto image into HSV color space,separates the luminance component V for enhancement,and adopts the auto-contrast for the color level adjustment to achieve the shadow compensation of orthoimage.Several DOM data of typical land classes is selected for shadow compensation experiments.And the algorithm is compared with the original AINDANE algorithm and four other shadow compensation methods.The results show that,compared with the original algorithm and the other four shadow compensation methods,the algorithm significantly improves the visual effect of the image,effectively recovers the feature information in the shadow region,and maintains the overall color balance and fidelity of the image.