SAR and multi-spectral image fusion based on feature additive integration

Fusion of SAR image and multi-spectral (MS) image can provide complementary information about the ground observed objects. This paper presents an fusion method of SAR and multi-spectral images based on the IHS transformation and phase congruence feature extraction. The IHS transform is firstly made to MS image to separate the intensity from the hue and saturation components. Then the phase congruence is calculated from intensity component of MS image and SAR image, which can provide an absolute measure of image features that is viewing-condition-independent and is invariant to change in illumination and magnification. According to both phase congruence values, the feature of SAR image is integrated into MS image. The experiments show that the fusion method proposed has a good performance.