Single point and spatial statistics of polarimetric SAR imagery

Single point and spatial statistics of polarimetric SAR imagery
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极化SAR图像的单点和空间统计

DOI:
10.1049/ic:19960432
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发表时间:
1996
期刊:
影响因子:
--
通讯作者:
A. Blake
A. Blake
中科院分区:
--
文献类型:
--
作者:
D. Blacknell;A. Blake

文献摘要

被引文献

相似文献

设计任何目标检测方案的先决条件是了解要检测目标的杂波环境。对于极化合成孔径雷达(SAR)图像,基于多变量高斯分布和多变量K分布的均匀杂波统计模型得到了广泛的研究。本文的第一个目的是调查在何种程度上,这种模型可以用来代表真正的极化SAR杂波。为此,该模型已被测试使用C波段机载极化SAR系统,这是描述获得的图像。高斯模型作为一个特定的扩展区域的杂波统计的描述的有效性进行了讨论。然而,并不是所有的杂波区域可以表示为简单的高斯斑点模型的情况下,使用低阶K分布来描述林地杂波的有效性进行评估证明。特别感兴趣的一点是,当低阶K分布描述是最合适的,阶参数是否显着不同的极化信道之间。已使用适当的统计检验来解决上述问题。第二个目标是调查的极化合成孔径雷达图像的空间统计使用的C波段系统提供的数据。测量的相关形状和长度,并使用它们来确定是否有显着的变化相关属性进行了讨论。(9页)
A prerequisite for the design of any target detection scheme is an understanding of the clutter environment against which targets are to be detected. For polarimetric synthetic aperture radar (SAR) imagery, statistical models for homogeneous clutter based on both multi-variate Gaussian distributions and multi-variate K distributions have been extensively investigated. The first aim of this paper is to investigate the extent to which such models can be used to represent genuine polarimetric SAR clutter. To this end, the models have been tested on imagery obtained using a C-band airborne polarimetric SAR system, which is described. The validity of the Gaussian model as a description of the clutter statistics of a particular extended region is discussed. However, not all clutter regions can be represented by the simple Gaussian speckle model as is demonstrated in the case where the validity of using low order K distributions to describe woodland clutter is assessed. A point of particular interest is whether, when a low order K distribution description is most appropriate, the order parameters are significantly different between polarimetric channels. Suitable statistical tests have been used to address this question as described. The second aim is to investigate the spatial statistics of polarimetric SAR imagery using data provided by the C-band system. The measurement of correlation shapes and lengths and their use to determine whether there is significant variation in correlation properties is also discussed. (9 pages)