基于最佳指数与HSV彩色空间的SAR图像伪彩色融合

针对极化SAR图像的伪彩色融合问题,本文提出了最佳指数模型结合HSV变换的伪彩色融合的方法。首先,将4个极化数据进行滤波去噪处理,计算4个极化通道的OIF值,以OIF值为依据选择3个极化方式作为最佳极化组合,并分别赋予RGB颜色通道,得到伪彩色融合图像;然后,将RGB彩色图像变换到HSV色彩空间,分别提取出色度分量H、饱和度分量S、亮度分量V1;同时,将颜色合成之外的第四个极化通道的灰度值作为亮度分量V2,将V1和V2进行加权平均,得到新的亮度分量V。最后,将新的分量V和分量H、S逆变换到RGB空间,得到新的伪彩色融合图像。利用RADARSAT-2全极化数据进行了实验,并和分解伪彩色结果对比,从主观观察和客观定量两个方面对伪彩色融合图像的质量进行了评价,验证了Pauli提出方法的有效性。

SAR Image Pseudo Color Encoding Based on Optimum Index and HSV Color Space

Aiming at the pseudo color fusion of polarmetric SAR image,the pseudo color fusion method based on the best exponential model and HSV transform is proposed.The four polarimetric data were processed by Lee Enhanced filter.Based on the OIF value (max) as the basis to select the combination of polarization,the enhanced polarization combination of RGB channel assignment,the pseudo color fusion image is obtained.Fusion image and polarization combination of the polarization image from the RGB space to HSV space,respectively,the brightness component is separated out,the weighted average,to get a new brightness component V.The new component V and component H,S inverse transform to RGB space,to get a new pseudo color fusion image.Experiments were carried out using RADARSAT-2 full polarimetric data.And Pauli decomposition pseudo color results contrast,from the subjective observation and objective quantification of the two aspects of the pseudo color fusion image quality was evaluated,verify the effectiveness of the proposed method.