REMOTE SENSING IMAGE FUSION BASED ON FAST DISCRETE CURVELET TRANSFORM
Wavelet transform has the good characteristic of spatial and frequency locality, but it isnt suitable for describing the signals, which have high dimensional singularities. Curvelet is one of new multiscale transform theories, which possess directionality and anisotropy, and it breaks some inherent limitations of wavelet in representing directions of edges in image. So when the curvelet transform is applied in image fusion, the characteristics of original images are taken better and implemented more easily. This paper tries fast discrete curvelet transform (FDCT) for image fusion of SAR (Synthetic Aperture Radar) image and TIM (Thematic Mapper) image. Then, Visual result and statistical parameters are used to evaluate the result. The experimental results indicate that the FDCT-based fusion method can provide more detailed spatial information and simultaneously, preserves the richer spectral content than the conventional approach, such as the discrete wavelet transform (DWT) and the Intensity-Hue-Saturation (IHS) transform.
Fast discrete curvelet transform Wavelet transform Image fusion
YING LI XING XU BEN-DU BAI YAN-NING ZHANG
School of Computer Science, Northwest Polytechnical University, Xian, 710072, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
106-109
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）