【摘要】 针对Ka波段合成孔径雷达（Ka-band synthetic aperture radar,Ka-SAR)与光学影像融合应用的需求，将珞珈二号01星Ka-SAR影像与Sentinel-2光学影像进行图像融合，并基于灰度共生矩阵法与主成分分析提取Ka-SAR纹理细节特征，采用HIS(hua-intensity-staturation transform)变换结合小波变换提出了一种基于纹理细节特征的融合方法。引入HIS融合方法进行比较，对该融合方法进行了验证；采用Sentinel-1的C频段SAR(C-SAR)影像的融合结果进行对比，验证了Ka-SAR影像的特点。结果表明：Ka-SAR的融合结果优于C-SAR影像，而基于纹理细节特征的融合方法对Ka-SAR的融合效果提升较好，在保留Ka-SAR影像纹理特征的同时融合了光学影像中的色彩信息，其信息熵、标准差、结构相似度等评价指标均较优。Ka-SAR在影像融合中具有优势，所提融合方法对Ka-SAR的融合具有更好的适应性。更多还原

【Abstract】 In response to the demand for the fusion application of Ka-band synthetic aperture radar(Ka-SAR) and optical images, the Ka-band SAR images of Luojia2-01 satellite are fused with the optical images of Sentinel-2. Based on the gray-level co-occurrence matrix(GLCM) method and the principal component analysis,the Ka-SAR texture detail features are extracted. Hua-intensity-staturation transform(HIS) transform combined with wavelet transform is adopted, and a fusion method based on texture detail features is proposed. In order to verify the fusion method based on texture detail features, the HIS fusion method is introduced for comparison;In order to verify the features of Ka-SAR images, the fusion results of SAR images of the C-band SAR images of Sentinel-1 are used for comparison. The results show that the fusion results of Ka-SAR are better than those of C-SAR images, and the fusion method based on texture detail features has a better enhancement to the fusion effect of Ka-SAR. By fusing the color information in optical images while preserving the texture features of KaSAR images, the evaluation indexes such as information entropy, standard deviation, and structural similarity are all better than the comparison results. The results show that Ka-SAR has advantages in image fusion,indicating that the fusion method proposed in this paper has better adaptability to the fusion of Ka-SAR.更多还原