Results and implications of a study of fifteen years of satellite image classification experiments
Results and implications of a study of fifteen years of satellite image classification experiments
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DOI：
10.1109/tgrs.2004.837325
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发表时间：
2005-03-01
影响因子：
8.2
通讯作者：
Wilkinson, GG
中科院分区：
文献类型：
--
作者：
Wilkinson, GG
对15年来发表的关于卫星图像分类的同行评议实验进行了一项研究。这项研究的目的是评估通过分类算法的发展以及分类后分析、多分类器整合和数据融合等系统方法在专题制图方面取得的进展程度。对已报道的500多个分级实验的结果进行了定量分析。这涉及审查分类精度与出版日期之间的关系，以及分类精度与各种实验参数之间的关系，如分类数量、特征向量的大小、卫星数据的分辨率和测试区域。不同类型的方法，如神经网络方法和非神经方法，也进行了比较。总体而言，结果表明，在过去15年中，分类绩效没有明显改善。所有实验的卡帕系数的平均值为0.6557，标准偏差为0.1980。在数据中也没有观察到分类精度和分辨率之间以及精度和分类数量之间的预期关系。讨论了这些发现对未来研究议程的一些影响。
A study has been carried out of 15 years of published peer-reviewed experiments on satellite image classification. The aim of the study was to assess the degree of progress being made in thematic mapping through developments in classification algorithms and also in systems approaches such as postclassification analysis, multiclassifier integration, and data fusion. The results of over 500 reported classification experiments were quantitatively analyzed. This involved examination of relationships between classification accuracy and date of publication, as well as between accuracy and various experimental parameters such as number of classes, size of feature vector, resolution of satellite data, and test area. Comparisons were also made between different types of methodology such as neural network and nonneural approaches. Overall, the results show that there has been no demonstrable improvement in classification performance over the 15-year period. The mean value of the Kappa coefficient across all experiments was found to be 0.6557 with a standard deviation of 0.1980. Expected relationships between classification accuracy and resolution and between accuracy and number of classes were also not observed in the data. Some of the implications of these findings for the future research agenda are considered.