An adaptive system for remote sensing image dehazing based on image reconstruction and enhancement
This paper proposes an efficient and adaptive remote sensing image dehazing algorithm,which combines atmospheric scattering model and image enhancement technology.By constructing a simplified haze model,the depth of field and haze concentration are accurately mapped,and the haze noise is effectively suppressed.In addition,the optimized histogram equalization technology and HSV color space adjustment strategy are innovatively introduced to improve image brightness and saturation,and restore image details and colors.Experiments show that the algorithm not only maintains the authenticity of image content,but also achieves a high degree of color balance in dealing with complex haze environment,which opens up a new perspective for the research of remote sensing image defogging.
万方数据
维普
