Relationship between information content and spatial resolution of remote sensing images

Currently, most studies focus on the calculation model of the information content, rarely involve the quantitative relation between spatial resolution and information content. In order to quantitatively evaluate different spatial resolution remote sensing images, this paper was based on the theory of information and fuzzy mathematics and the information entropy was used as the criterion. Through calculating the information content of panchromatic and multispectral image at different levels, a mathematical simulation of the relationship between information content and spatial resolution was provided. The results show that, as the spatial resolution of the image reduces, the amount of information exponentially reduces. Doubling the spatial resolution, the image information content increases 3 to 5 times.