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Extraction and Analysis of the Scattering Stability in Urban Areas Based on Dual-Polarization SAR Data

机译:基于双极化SAR数据的城市散射稳定性提取与分析

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摘要

The stability characteristics of scattering are of great significance for achieving radiometric calibration without calibration fields. This letter used dual-polarization synthetic aperture radar (SAR) data to explore the temporal and spatial stability of microwave scattering. Based on Sentinel-1 SAR data, we mainly studied the stability of the median value of SAR image slices in urban areas, under the HH- and HV-polarization modes. The urban slices with stable scattering were extracted by an improved deep neural network designed herein. Based on 33 images of the Houston region, the results show that this suitable network, which is trained by dual-polarization data, can effectively distinguish the stable slices from the unstable ones. In addition, some meaningful characteristics about SAR scattering stability of dual-polarization data are also obtained, which can provide a good reference for SAR nonfield radiometric calibration.
机译:散射的稳定性特征对于在没有校准场的情况下实现辐射校准非常重要。这封信使用双极化合成孔径雷达(SAR)数据来探索微波散射的时间和空间稳定性。基于Sentinel-1 SAR数据,我们主要研究了在HH和HV极化模式下城市地区SAR图像切片中值的稳定性。通过本文设计的改进的深度神经网络提取具有稳定散射的城市切片。根据休斯顿地区的33张图像,结果表明,该合适的网络由双极化数据训练而成,可以有效地区分稳定切片和不稳定切片。此外,还获得了有关双极化数据SAR散射稳定性的一些有意义的特性,可以为SAR非场辐射校准提供良好的参考。

著录项

  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2019年第3期|427-431|共5页
  • 作者单位

    Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China;

    Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China;

    Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China;

    Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Deep neural networks (DNNs); dual-polarization; scattering stability; synthetic aperture radar (SAR); urban areas;

    机译:深度神经网络(DNN);双极化;散射稳定性;合成孔径雷达(SAR);城市地区;

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