Reconstruction of the pixel missing regions on remote sensing images is an important research issue in remote sensing image processing. These regions due to clouds and stripes are generally processed using the traditional synthesis and image inpainting techniques. Such processing can also be implemented with multispectral/multitemporal based methods. However, these methods have some limitations in applications, such as the sharpened borders between the filled regions and their neighbors and the requirement for multiple images. A method is developed for reconstructing pixel missing regions using a corresponding recent term image (reference image) acquired from different sensors with different spectral bands. A case study shows that the new method obviously outperforms the replacement method.