...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A New Quality Map for 2-D Phase Unwrapping Based on Gray Level Co-Occurrence Matrix
【24h】

A New Quality Map for 2-D Phase Unwrapping Based on Gray Level Co-Occurrence Matrix

机译：基于灰度共生矩阵的二维相位展开新质量图

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

Both in quality-guide phase unwrapping algorithms and weighted minimum-norm phase unwrapping algorithms, quality maps play a crucial role in obtaining the absolute phase from the wrapped ones. In this letter, a new technique for generating quality maps based on the gray level co-occurrence matrix (GLCM) is proposed. GLCM is a classical second-order statistics method for analyzing the texture features of images. Through exploring the second-order statistics of GLCM, much useful information in the image can be exploited. According to the characteristics of the interferogram, the second-order statistic of GLCM called “difference of entropy” is used to generate the quality maps. Besides, we modified the definition of “difference of entropy” to make the statistic more suitable for the problem. Finally, the new algorithm is compared with other conventional algorithms both in the simulated and real data experiments and the results show its better performance.
机译：在质量指南相位展开算法和加权最小范数相位展开算法中，质量图在从被包裹的相位图获得绝对相位中都起着至关重要的作用。在这封信中，提出了一种基于灰度共生矩阵（GLCM）生成质量图的新技术。 GLCM是用于分析图像纹理特征的经典二阶统计方法。通过探索GLCM的二阶统计量，可以利用图像中的许多有用信息。根据干涉图的特征，使用称为“熵差”的GLCM的二阶统计量生成质量图。此外，我们修改了“熵差”的定义，以使统计数据更适合该问题。最后，在仿真和真实数据实验中，将该新算法与其他常规算法进行了比较，结果表明了其更好的性能。

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