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遥感影像亚像元定位是在混合像元分解基础上,利用地物空间分布特征确定不同地物类型在混合像元中的具体位置,得到亚像元尺度的地物分类图,是一种有效解决混合像元空间不确定性的方法。首先介绍遥感影像亚像元定位的基本概念,分析亚像元定位的理论模型和求解算法;然后总结亚像元定位模型的误差来源、精度评价方法以及结果不确定性的表达手段,同时讨论利用辅助数据源提高亚像元定位精度的主要方法;最后对亚像元定位的研究趋势做了进一步展望。
Remote sensing image sub-pixel location is based on mixed pixel decomposition, the use of spatial distribution of features to determine the location of different features in the mixed pixel location, sub-pixel scale features map is an effective Method to solve the uncertainty of mixed pixel space. Firstly, the basic concepts of sub-pixel positioning in remote sensing images are introduced, and the theoretical model and algorithm of sub-pixel positioning are analyzed. Then the sources of error, accuracy evaluation methods and expression of uncertainty of sub-pixel positioning model are summarized. At the same time, Auxiliary data sources to improve sub-pixel positioning accuracy of the main methods; Finally, the sub-pixel positioning research trends made further prospects.