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The Urban Construction Information Extraction Based on New Structure Decision Tree

机译:基于新结构决策树的城市建设信息提取

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摘要

In this paper, the information of construction land is extracted by decision tree and mixed pixel decomposition model. The decision tree has a new structure and is designed as two layers. The top layer emphasizes the synthetically application of spectrum and texture, and bottom layer emphasizes the use of knowledge. The decision rules comes from spatial characters of common city and KT transform .It has been tested with TM data in Nanjing and the accuracy of the result rises from 82.7% to 91.7%. At last, the urban spatial expansion direction and temporal change gradation between 1994 and 2002 is analyzed based on multi-temporal data.
机译:本文通过决策树和混合像素分解模型提取建设用地信息。决策树具有新的结构,分为两层。顶层强调频谱和纹理的综合应用,底层强调知识的使用。决策规则来自普通城市的空间特征和KT变换,在南京已经通过TM数据进行了测试,结果的准确性从82.7%提高到91.7%。最后,基于多时相数据,分析了1994〜2002年城市空间扩展方向和时间变化梯度。

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