A Fast Variational Fusion Approach for Pan-Sharpening

摘要：

A fast variational fusion model based on partial differential equation (PDE) is presented for pan-sharpening. The functional is constructed with several energy terms. The gradient energy term is created by calculating the gradient vector field of the panchromatic image. The visualization energy term is used for improving the perceptual effect and the spectral preserving energy term is designed for enforcing the spectral coherence. The channel correlation energy term and the radiometric reduction energy term are defined to preserve the correlation of multi-spectral channels and decrease the radiometric distortion. Inspired by the shock-filtering model, an inverse diffusion term for image enhancement is put to PDEs which is deduced by minimizing the energy functional. In comparison with the fusion models based on discrete wavelet transform, à trous wavelet transform and the contrast-based PDE, it is shown that our model can improve the spatial resolution of the multi-spectral bands while preserving the spectral quality more effectively. Our models computational complexity for one time step is only O(N).

关键词： remote sensing image pan-sharpening contrastbased fusion fast variational fusion

作者: Ze-ming Zhou Yuan-xiang Li Han-qing Shi Ning Ma Chun He Peng Zhang

作者单位: Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1110-1113

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）