目前，关于影像信息量的研究大多是注重信息量的计算模型，很少涉及空间分辨率与信息量之间的定量关系。为了对不同空间分辨率的遥感影像进行定量化评定，以信息论和模糊数学为理论基础，信息熵为测度，通过计算不同空间分辨率水平的全色影像和多光谱影像的信息量，对信息量与空间分辨率的关系进行直接量化模拟。结果表明，影像信息量随着空间分辨率的降低呈指数降低，空间分辨率在原影像基础上每增加一倍，影像信息量相应增加3~5倍。

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.