关键词: 资源三号卫星, 非下采样Contourlet变换, Gram-Schmidt变换, 支持向量机, 低空间分辨率全色影像, 融合

Abstract:

ZY-3 satellite data, which is a new type of remote sensing imagery, has not yet owned a specific images fusion method. This paper proposed a new fusion algorithm based on the nonsubsampled Contourlet transform and Gram-Schmidt (GS) transform according to the characteristics of CBERS-03 data. Firstly, the linear regression method was used to generate the low-resolution panchromatic image with respect to the low-frequency pixels. Then, the nonsubsampled Contourlet transform was applied respectively on the high-resolution panchromatic image, the low-resolution panchromatic image, and the image generated from their differences, to generate high frequency and low frequency coefficients. With these coefficients, a new panchromatic image was produced by using adaptive fusion strategies. At last, the fused image was obtained through GS orthogonal transformation, by replacing the first component of GS positive transformation with the low-resolution panchromatic image, and replacing the first component of GS inverse transformation with the newly generated panchromatic image. Compared with the traditional image fusion methods, which always have defects of spectral distortion, the proposed method had obvious advantages in terms of spectral fidelity, spatial resolution and classification accuracy. In conclusion, the proposed method is appropriate for images fusion on the ZY-3 multispectral and high resolution data.

Key words: ZY-3 satellite, nonsubsampled Contourlet transform, Gram-Schmidt transform, SVM, low resolution panchromatic image, fusion evaluation