By stitching together adjacent images from a video sequence surveying a scene, a video mosaic of the entire panorama can be formed. Since a video survey consists of a sequence of images having small relative displacements with respect to each other, there is redundant overlapping information in consecutive images so that not all consecutive video images are required to create a mosaic, and only a subset of suitable images needs to be chosen. Images that are misaligned due to subpixel translation, rotation or shear are difficult to perfectly re-align and stitching of such images can result in a mosaic where discontinuities are noticeable. We propose a new technique for the construction of a seamless mosaic to minimise discontinuities. Our technique partitions an image into four quadrants to register with those of successive images. These registration values are used to form a misalignment index for selecting the best images for stitching.

For multispectral imagery (MSI), spatial registration between bands is a very important part of the overall quality of the MSI product. For some remote sensing imagery, mis-registration of bands greater than about one-quarter of a pixel can be visually noticeable. Based on the successful registration processing developed for the Multispectral Thermal Imager (MTI) (known as edgereg), a derivative algorithm was developed for assessment of spatial registration accuracy of 4band MSI. This algorithm has sub-pixel accuracy of a few hundredths of a pixel, and can be used to compute an image average mis-registration or process imagery in a block mode to create a mis-registration map. This paper presents the results of testing the algorithm on simulated and commercial imagery.