...
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Edge Detection for PolSAR Images Integrating Scattering Characteristics and Optimal Contrast
【24h】

Edge Detection for PolSAR Images Integrating Scattering Characteristics and Optimal Contrast

机译:POLSAR图像的边缘检测集成散射特性和最佳对比度

获取原文
获取原文并翻译 | 示例
           

摘要

Subject to the statistical distribution assumption and the fixed window shape, the classical edge detectors for polarimetric synthetic aperture radar (PolSAR) images generally generate inaccurate results in heterogeneous scenes. In this letter, a PolSAR image edge detector integrating the scattering characteristics and optimal contrast (OC) is proposed. Hierarchical model-based decomposition is first implemented for the scattering mechanism characterization. On this basis, a scattering mechanism-driven adaptive window is then designed, which contains pixels with uniform polarimetric scattering. Finally, to avoid making the assumption, the OC measurement is adopted for the edge strength calculation. Experimental results conducted on different PolSAR data confirm the effectiveness of the proposed method and its superiority over the classical edge detectors, especially in heterogeneous areas.
机译:受统计分布假设和固定窗口形状的影响,用于偏振的偏振型雷达(POLSAR)图像的经典边缘探测器通常产生不准确的结果。在这封信中,提出了一种积分散射特性和最佳对比度(OC)的POLSAR图像边缘检测器。首先为散射机制表征实现分层模型的分解。在此基础上,然后设计散射机构驱动的自适应窗口,其包含具有均匀偏振散射的像素。最后,为了避免进行假设,采用EC测量来实现边缘强度计算。在不同的POLSAR数据上进行的实验结果证实了所提出的方法的有效性及其在经典边缘探测器上的优越性,特别是在异构区域。

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