Evaluation Method for Category Classification of Mixed Pixel Data
Evaluation Method for Category Classification of Mixed Pixel Data
复制标题
混合像素数据类别分类评价方法
DOI：
10.11440/rssj1981.22.2
复制
发表时间：
2002
影响因子：
--
通讯作者：
M. Inamura
中科院分区：
文献类型：
--
作者：
H. Ishida;M. Inamura
对遥感群落的分类性能问题进行了研究。现有的评价分类性能的方法只适用于纯像素。实际上，遥感数据包含混合像元，因此不考虑混合像元就不能讨论分类性能。提出了一种考虑混合像元的四函数性能评价方法。使用分类度对混合像素进行分类，使我们能够讨论详细的分类性能。我们的实验结果表明，仅对纯像元的评价是不够的，有必要像我们的评价方法那样考虑混合像元。
The problem of classification performance has been studied in remote sensing community. Existing methods for evaluating the classification performance are applicable only pure pixels. In fact, remotely sensed data include mixed pixels, so the classification performance cannot be discussed without considering the mixed pixels. This paper deals with a performance evaluation method with four functions considering mixed pixels. Using classification degree for mixed pixels with the methods allow us to discuss the detailed classification performance. Our experimental result indicated that it was insufficient only in the evaluation for pure pixels and was necessary to consider mixed pixel like our evaluation method.