...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of digital Earth >Spectral indices derived, non-parametric Decision Tree Classification approach to lithological mapping in the Lake Magadi area, Kenya
【24h】

Spectral indices derived, non-parametric Decision Tree Classification approach to lithological mapping in the Lake Magadi area, Kenya

机译：肯尼亚湖马扎地区岩性测绘的非参数决策树分类方法导出，非参数决策树分类方法，肯尼亚

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Here, we demonstrate the application of Decision Tree Classification (DTC) method for lithological mapping from multi-spectral satellite imagery. The area of investigation is the Lake Magadi in the East African Rift Valley in Kenya. The work involves the collection of rock and soil samples in the field, their analyses using reflectance and emittance spectroscopy, and the processing and interpretation of Advanced Spaceborne Thermal Emission and Reflection Radiometer data through the DTC method. The latter method is strictly non-parametric, flexible and simple which does not require assumptions regarding the distributions of the input data. It has been successfully used in a wide range of classification problems. The DTC method successfully mapped the chert and trachyte series rocks, including day minerals and evaporites of the area with higher overall accuracy (86%). Higher classification accuracies of the developed decision tree suggest its ability to adapt to noise and nonlinear relations often observed on the surface materials in space-borne spectral image data without making assumptions on the distribution of input data. Moreover, the present work found the DTC method useful in mapping lithological variations in the vast rugged terrain accurately, which are inherently equipped with different sources of noises even when subjected to considerable radiance and atmospheric correction.
机译：在这里，我们展示了决策树分类（DTC）方法从多光谱卫星图像到岩性映射的应用。调查领域是肯尼亚东非裂谷的湖巴迪。该作品涉及岩石和土壤样本在现场的集合，使用反射率和发射光谱分析，以及通过DTC方法的高级星载热发射和反射辐射计数据的加工和解释。后一种方法是严格的非参数，灵活，简单，不需要关于输入数据的分布的假设。它已成功用于广泛的分类问题。 DTC方法成功地映射了Chert和Trachyte系列岩石，包括较高总体精度（86％）的区域的日矿物和蒸发素。发达决策树的较高分类精度表明其在太空光谱图像数据中的表面材料上经常观察到适应噪声和非线性关系的能力，而不会对输入数据分布的假设进行假设。此外，本工作发现了可用于准确地绘制庞大的地形中的岩性变化的DTC方法，其即使在受到相当大的辐射和大气校正时，即使在受到相当大的辐射和大气校正的情况下也具有不同的噪声来源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号