尺度问题是土地覆盖分类中的一个核心问题，向下尺度转换又是其中的难点。混合像元分解可以得到亚像元尺度的类别组分百分比，但无法求得亚像元的具体位置。遥感影像超分辨率制图是由粗空间分辨率的影像得到高空间分辨率分类结果图的技术，可用于地表分类向下尺度转换，近年来该技术已成为遥感影像分类和尺度转换领域的研究热点。对超分辨率制图研究进展做了详细论述，从超分辨率制图的发展和研究现状、主要方法、精度评价等几方面进行了详细阐述，并分析了当前超分辨率制图算法存在的主要问题，以及可能的研究重点和发展空间。

Scale problem is one of the central issues in land cover mapping from remote sensing imagery, and downscaling land cover data is a difficulty in this domain. Soft classification can provide more information than hard classification at pixel level. However, the spatial location of land cover compositions within each pixel is unknown. To solve this problem, many super-resolution mapping methods have been developed in recent years. In this paper, a review on recent development of super-resolution mapping methods is presented. The review focuses on the research status, major algorithms and accuracy assessment methods of super-resolution mapping. The main drawbacks, research challenges and future directions of super-resolution mapping are discussed.