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应用科学学报 ›› 2010, Vol. 28 ›› Issue (3): 301-306.

• 信号与信息处理 • 上一篇    下一篇

机载高分辨率SAR图像数据建模

王海涛1， 于文震1， 常建平2， 陈婷慧2   

  1. 1. 南京电子技术研究所，南京210039
    2. 南京航空航天大学信息科学与技术学院，南京210016
  • 收稿日期:2009-07-27 修回日期:2010-03-21 出版日期:2010-05-21 发布日期:2010-05-21
  • 作者简介:王海涛，博士，研究方向：雷达信号处理，E-mail：enterescf1@139.com
  • 基金资助:

    装备预先研究项目基金资助

Modeling of Airborne High Resolution SAR Image Data

WANG Hai-tao1, YU Wen-zhen1, CHANG Jian-ping2, CHEN Ting-hui2   

  1. 1. Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
    2. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2009-07-27 Revised:2010-03-21 Online:2010-05-21 Published:2010-05-21

PDF

1684

被引次数

4

摘要：

目前对高分辨率陆地合成孔径雷达图像数据特性尚缺乏充分研究. 该文提出K-S检验的改进方法并设计组合假设检验，验证高分辨率农田合成孔径雷达图像数据与球不变随机向量模型的相容性，提出一致区域概念对数据进行局部化处理，以简化数据的高阶统计特性分析. 实验表明，K-S检验改进算法对不独立样本数据具有良好的健壮性，农田的高分辨率合成孔径雷达图像数据与球不变随机向量模型是相容的. 通过对农田数据的分析验证了一致区域概念的合理性，并确定了给定数据集的一致区域空间尺度.

关键词: 合成孔径雷达, K-S 检验, 球不变随机向量, 相容性, 一致区域

Abstract:

Considering the absence of statistical analysis on land image data of high-resolution SAR, an enhanced version of K-S test based on data pre-treatment is proposed, and composite hypothesis tests designed to validate compatibility of the cropland data with the model of spherically invariant random vector (SIRV). Definition of the consistency region is given, meaning that the image is processed locally, to resolve the problem that higher order statistical characteristics are mathematically tractable in an SIRV model. Experiments show that the enhanced method of K-S test has good robustness for non-independent samples, and the cropland data are compatible with the SIRV model. By analyzing the cropland data, rationality of coherence region concept is proved, and the space scale of consistency region for the data is found.

Key words: synthetic aperture radar (SAR), K-S test, spherically invariant random vector (SIRV), compatibility, consistency region

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