基于Sentinel-1双极化数据的北极海域假彩色图像合成方法

A method of synthesizing RGB pseudo color images based on Sentinel-1 dualpolarization data in the Arctic

基于北极海域的Sentinel-1双极化数据,有效地结合去噪算法和图像处理技术,提出了一种高质量的RGB假彩色图像制作方法。该方法使用线性回归模型和一种更高效的热噪声去除算法分别对HH和HV极化数据进行入射角校正和热噪声去除;将HH、HV和混合HH、HV得到的数据分别作为蓝色、红色和绿色通道图层,并使用全局直方图均衡化和限制对比度直方图均衡化进行图像增强,获得最终的RGB假彩色图像。该方法合成的RGB假彩色图像减小了入射角和热噪声对图像质量的影响,增强了地物信息特征和图像的可读性,可为海冰信息提取奠定良好的基础。

Based on the Sentinel-1 dual-polarization data in the Arctic, a high-quality method of synthesizing RGB pseudo color images is proposed by effectively combing denoising algorithm and image processing technology. In this method, incidence angle correction is performed on the HH polarization data using a linear regression model, and thermal noise removal is conducted on the HV polarization data using a more efficient algorithm. The HH, HV polarization data and the mixture of HH and HV polarization data are used as blue, red,and green channel layers in the RGB false color image, respectively, and the enhancements of RGB false color composite are performed using global histogram equalization and contrast limited histogram equalization to obtain the final RGB false color image. In the RGB false color images synthesized by this method, the influences of the incidence angle and thermal noise on the images are reduced, and both the features of the ground information and the readability of the image are enhanced. This RGB false color image could lay a good foundation for the extraction of sea ice information.