摘要
高分三号卫星是世界上成像模式最多的合成孔径雷达(SAR)卫星,高分三号SAR图像与多光谱图像融合可以改善图像视觉效果。因此提出一种新的研究思路,即利用非下采样轮廓波变换(NSCT)模拟出既包含多光谱谱段信息又体现SAR图像细节信息的高分辨率图像,则融合可不拘泥于具体算法。同时提出两种基于NSCT的高分辨率图像模拟方法,利用高分三号3 m、5 m分辨率SAR图像和高分一号16 m分辨率图像进行实验,采用不同融合算法验证了该思路的有效性。研究结果表明:传统的SAR和多光谱图像直接融合的方法能够保持SAR的细节信息,但噪声明显,且光谱信息损失大;而所提出的NSCT平均图像和平均NSCT图像可以保留融合结果的光谱信息,且模拟的光谱信息前者比后者更贴近多光谱。
Among the existing synthetic-aperture radar （SAR） satellites, the GF-3 offers the most kinds of imaging modes. The fusion of the GF-3 SAR images with the multi-spectral images can improve the visual quality of the SAR images. We show how to use the nonsubsampled contourlet transform （NSCT） for simulating high-resolution images such that both the details of the SAR image and the spectral information of the multi-spectral image can be retained. This method ensures that the fusion of SAR and multi-spectral images is not limited by a specific algorithm. To verify the effectiveness of the proposed idea, two types of resolutions are used as the experimental data： the GF-3 satellite SAR images with resolutions of 3 m and 5 m, respectively, and the GF-1 satellite multi- spectral images with a resolution of 16 m. We perform comparative experiments with different fusion algorithms. The results show the effectiveness of the proposed approach. The traditional method that directly fuses the SAR and multi-spectral images can keep the details of the SAR image. However, the noise is obvious and some information of the multi-spectral image remains. The NSCT average images and the average NSCT images can retain the spectral information. The spectral information of NSCT average images is closer to the multi-spectral images than the average NSCT images.
作者
易维
曾湧
原征
Yi Wei;Zeng Yong;Yuan Zheng(China Center for Resource Satellite Data and Applications,Beijing 100094,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2018年第11期68-77,共10页
Acta Optica Sinica
基金
中国航天科技集团公司钱学森青年创新基金(政字[2017]17号)
