改进高斯混合模型的遥感图像增强方法

Remote Sensing Digital Image Enhancement Based on Gauss Mixture Model

受到传感器、天气因素的影响,遥感图像视觉效果不理想、分辨率低,影响后续目标分析,为了提高了遥感图像质量,提出一种高斯混合模型的遥感图像增强算法。首先对传感遥感图像增强研究现状进行研究,然后分析遥感图像质量下降的主要原因,并采用高斯混合模型对遥感图像进行增强操作,最后在Maltlab 2014平台上实现了遥感图像进行增强实验。结果表明,高斯混合模型增强了遥感图像的细节信息,提高了遥感图像对比度及清晰度提高,图像的层次感更加丰富。

Remote sensing image visual effect is not ideal, low resolution affected by the weather, sensor and impact on analysis of follow-up target, in order to improve the image quality, this paper proposed a remote sensing digital image enhancement algorithm by using Gauss mixture model. Firstly, the research status sensor remote sensing digital image enhancement algorithms are research and analysis, and then analyze the main reason for the decline of the remote sensing image quality, and using the Gauss mixture model to enhance the operation of remote sensing digital image, finally, in the Maltlab 2014 platform to achieve the remote sensing digital image enhancement experiment. The results show that the information of remote sensing image are enhanced by Gauss mixture model, and improves the contrast and image clarity, the level of the image is more rich.