Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)

Yin Qiang Li Yang Huang Ping-ping Lin Yun Hong Wen

SU Hanning, PAN Jiameng, BAO Qinglong, et al. Anti-interrupted sampling repeater jamming method in the waveform domain before matched filtering[J]. Journal of Radars, 2024, 13(1): 240–252. doi: 10.12000/JR23149
Citation: Yin Qiang, Li Yang, Huang Ping-ping, Lin Yun, Hong Wen. Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation(in English)[J]. Journal of Radars, 2015, 4(6): 689-697. doi: 10.12000/JR15075
苏汉宁, 潘嘉蒙, 鲍庆龙, 等. 基于波形域的匹配滤波前抗间歇采样转发干扰方法[J]. 雷达学报(中英文), 2024, 13(1): 240–252. doi: 10.12000/JR23149
引用本文: 尹嫱, 李洋, 黄平平, 林赟, 洪文. 土壤湿度变化引起的干涉SAR相干性损失分析(英文)[J]. 雷达学报, 2015, 4(6): 689-697. doi: 10.12000/JR15075

Analysis of InSAR Coherence Loss Caused by Soil Moisture Variation

DOI: 10.12000/JR15075 cstr: 32380.14.JR15075
Funds: 

Supported by the National Natural Science Foundation of China (61431018, 61201404, 61461040) and the Special Project of Inner Mongolia Key Science Technology.

  • 摘要:

    干涉SAR的相干性对于数据质量的衡量和与后向散射结合的目标信息提取,都具有重要的意义。然而相比其他的去相干源,土壤湿度变化引起的重轨干涉SAR的去相干尚未得到充分的研究。该文利用EnvisatASAR和暗室数据分析了由土壤湿度变化引起的重轨干涉SAR的相干性损失。C波段ASAR数据仅在裸土或草地区域具有较高的相干性,意味着这两种陆地覆盖类型比较适合作为土壤湿度变化对星载数据干涉相干性影响的研究对象。此外重访周期短的星载SAR即使对于农田区域具有重要的应用潜力。由于微波暗室的可控环境,特别是能够去除其他去相干源的影响,因而设计开展了暗室实验,并详细分析了土壤样本的观测数据。实验发现低频2-2.5 GHz具有较高的相干性,并且对土壤湿度初值的敏感度较低。这表示在利用干涉相干性信息提取土壤湿度变化时,至少是在相干性水平和对土壤湿度初值的敏感度方面,S波段优于C波段。

     

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出版历程
  • 收稿日期:  2015-06-15
  • 修回日期:  2015-10-12
  • 网络出版日期:  2015-12-28

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