Local incidence angle referenced classification on polarimetric synthetic aperture radar images in mountain glacier areas

Local incidence angle referenced classification on polarimetric synthetic aperture radar images in mountain glacier areas
复制标题

山地冰川地区偏振合成孔径雷达图像局部入射角参考分​​类

DOI:
10.1117/1.jrs.10.025015
复制
发表时间:
2016-04
影响因子:
1.7
通讯作者:
Tian Bang-sen
Tian Bang-sen
中科院分区:
工程技术4区
文献类型:
--
作者:
Huang Lei;Li Zhen;Tian Bang-sen

文献摘要

参考文献

相似文献

抽象的。入射角是合成孔径雷达(SAR)的重要参数。山区的局部入射角差异很大,对于相同的地面目标,不同的入射角可能会导致不同的后向散射特性。因此,在图像分类中必须考虑这一点。论证了局部入射角在山区SAR图像分类中的重要性和考虑该角度的必要性。提出了一种基于支持向量机的局部入射角参考方法进行分类。该方法根据局部入射角将数据集划分为不同的区域,并在这些区域内进行训练和预测,以消除局部入射角的影响。实验是在青藏高原中部的东克玛迪冰川周围进行的,使用了两幅RADARSAT-2极化合成孔径雷达图像。研究了局部入射角对合成孔径雷达图像分类的影响。与仅使用后向散射系数的分类方法相比,该方法的总体分类精度提高了6%~8%。更重要的是,验证了该方法对地形变化较大的地表覆盖类型更有帮助。
Abstract. The incidence angle is a crucial parameter for synthetic aperture radar (SAR). The local incidence angle differs greatly in mountainous areas, and it may lead to quite different backscatter properties for the same ground targets for different incidence angles. As a result, it has to be taken into consideration in image classification. This work demonstrates the importance of the local incidence angle and the necessity of considering this angle in SAR image classification in mountainous areas. A local incidence angle referenced method based on support vector machines is developed to perform classification. In this method, the datasets are divided into different zones according to local incidence angle, and the training and predicting are performed within these zones to eliminate the influence of the local incidence angles. The experiments are performed around the Dongkemadi Glacier in the central Qinghai-Tibetan plateau using two RADARSAT-2 polarimetric SAR images. This paper concentrates on the effect of the local incidence angles in SAR image classification. Compared to the method using only backscatter coefficients, the proposed method improves the overall classification accuracy by 6 to 8%. More important, it is verified that this method is more helpful for the ground cover types where the terrain changes sharply.
DOI: 10.1016/j.rse.2004.10.007
发表时间: 2005-01
影响因子: 13.5
作者:
Xiaobing Zhou;H. Xie;J. Hendrickx
通讯作者: Xiaobing Zhou;H. Xie;J. Hendrickx
DOI: 10.1016/j.rse.2006.09.002
发表时间: 2007-02
影响因子: 13.5
作者:
A. Loew;W. Mauser
通讯作者: A. Loew;W. Mauser
DOI: 10.14358/pers.72.3.249
发表时间: 2006-03-01
影响因子: 1.3
作者:
Rodriguez, E;Morris, CS;Belz, JE
通讯作者: Belz, JE
DOI: 10.3189/172756501781832241
发表时间: 2001
影响因子: 3.4
作者:
M. König;J. Winther;N. Knudsen;T. Guneriussen
通讯作者: M. König;J. Winther;N. Knudsen;T. Guneriussen
DOI: 10.1109/tnn.1997.641482
发表时间: 1997-01-01
影响因子: --
作者:
Cherkassky, V
通讯作者: Cherkassky, V