中文摘要：

论文回顾了地图信息量计算方法的研究现状，引出了Wu等人的栅格地图信息量计算方法。栅格地图信息量计算方法摆脱了传统shannon熵理论的束缚．将地图的信息量视为图中所有像元与周围像元视觉均差之和。由于栅格地图信息量计算方法难以用数学的方法来证明．论文分别以1：400万全国矢量数据和黄河三角洲的ECW影像数据为例．计算了它们在不同尺度下固定视窗内的信息量。两组实验均表明：用吴氏栅格地图信息量计算方法得到信息量值与人所认知的信息量间有一定的线性关系。最后论文展望了吴氏栅格地图信息量计算方法的应用前景。

英文摘要：

This paper reviewed the related work on map information measures and introduced the Wu＇s rasterbased map information measurement. Out of the cord of Shannon＇ entropy, this method regards the sum of all pixels＇ information that is the difference between every pixel and its context as map information amount. It is difficult to testify the validity of this method in mathematics, so this paper uses some vector data at 1：400 scale and an ECW image to verify raster-based map information measurement. Two experiments indicated that these map view information amounts calculated by raster-based map information measures are linearly related with the view information accepted by human beings.