基于加权融合的环境遥感图像增强算法

Environmental Remote Sensing Image Enhancement Algorithm Based on Weighted Fusion

原始环境遥感图像经常面临噪声问题,导致目视判读困难,植被提取精度低。为解决这一问题,有效促进环境遥感图像质量提升,提出一种基于加权融合的环境遥感图像增强算法。首先,构造灰度变换函数来提高图像对比度;其次,设计灰度加权系数以降低图像噪声;最后,利用灰度加权系数完成像素灰度加权融合增强。实验结果表明,该方法能有效提高环境遥感图像质量,便于对环境研究目标进行目视解译。

The original environment remote sensing image often faces the problem of noise, which leads to the difficulty of visual interpretation and the low accuracy of vegetation extraction. In order to solve this problem and improve the quality of environmental remote sensing image effectively, this paper proposes an environmental remote sensing image enhancement algorithm based on weighted fusion. Firstly, the gray transform function is constructed to improve the image contrast. Secondly, the gray weighting coefficient is designed to reduce the image noise. Then, the gray weighted coefficient is used to complete the pixel gray weighted fusion enhancement. Experimental results show that this method can effectively improve the quality of environmental remote sensing images and facilitate visual interpretation of environmental research targets.