基于改进IHS变换的遥感图像融合新算法

为改善IHS变换对图像细节信息的丢失,提出了一种基于改进IHS变换的遥感图像融合新算法.针对IHS变换方法对多光谱图像和全色图像进行融合会丢失较多的光谱信息,利用基于变异量子行为的粒子群优化算法（MQPSO）改进IHS变换过程,通过MQPSO算法来求解IHS变换中光谱强度分量,将图像融合问题归结为最优化问题.仿真实验结...

New Algorithm for Remote Sensing Image Fusion Based on Improved IHS Transform

To reduce the loss of the detailed information in the processes of IHS transform,a algorithm for new remote sensing image fusion method was proposed based on improved IHS transform.In light of much loss of spectral information during the fusion processes of IHS transform on multi-spectral images and full-colour images,based on MQPSO(Mutation Quantum-Behaved Particle Swarm Optimization) algorithm,IHS transform process was improved and spectral intensity in the process of IHS transform was solved by MQPSO algorithm,which brings the problem of image fusion into an optimization problem.The emulated experimental results indicate that this method not only greatly strengthens the spatial detail expression ability of fused images,but also retains spectral information of multi-spectral images better and the obtained fused images are prior to those obtained from traditional HIS transform.