Region-Wise Quality Measurements Of Pan- Sharpened Images

Abstract

Image pan-sharpening or data fusion is widely used method for increasing the spatial resolution of multispectral images. Hence, the task is to enhance the spatial resolution of the multispectral images by merging them with spatially more highly resolved panchromatic data obtained from a satellite sensor. However, the analysis of quality distortion of the final pan-sharpened image is a difficult task in the field of remote sensing, since a reference image is usually unavailable. This paper illustrates the measurement of spectral and spatial quality of pan-sharpened images region-wise using object based image segmentation technique. Experimental results show that the proposed pan-sharpening scheme can effectively preserve spectral information while improving the spatial
quality, and outperforms the general IHS based pansharpening methods.