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一个修改的戈德斯坦波器用于干扰图的干扰成像雷达高度计的干扰图表,基于多个质量指导图
Jian Liu1, Huili Zhang1, Lihua Wang2
1Nanjing Center, China Geological Survey, Nanjing, Jiangsu Province, China.
PloS one
|August 8, 2024
概括
本研究引入了一种自适应相位过算法,以减少雷达高度测量数据中的噪声. 新方法有效地过相位噪声,同时保留关键边缘细节,提高数据准确性.
科学领域:
- 地质科学是地球科学.
- 遥感 遥感 遥感 遥感
- 信号处理 信号处理
背景情况:
- 信号与噪声比 (SNR) 随着雷达高度测量的范围而下降.
- 干扰度相位噪声会降低数据质量,特别是在具有挑战性的环境中,如海冰.
研究的目的:
- 开发一种适应性相位过算法,用于成像雷达高度计数据.
- 提高噪声降低,同时保持必要的干扰度边缘特征.
主要方法:
- 提出了一个自适应阶段过算法,将戈德斯坦过与多个质量导向图 (残余密度,伪相干,伪SNR) 结合起来.
- 通过对质量导向图表进行权衡,并根据残留数量调整窗口大小来确定波器参数.
- 应用频域过以去除干扰度相位噪声.
主要成果:
- 该算法有效地过相位噪声,并在模拟和真实数据 (TSX/TDX,机载雷达高度计) 中保留边缘特征.
- 在TSX/TDX海冰数据上实现了超过86%的残留过率,保持了海冰边缘的特征.
- 过的结果与模拟的纯干扰测量相段密切匹配.
结论:
- 拟议的自适应相位过算法提供了一种有效的解决方案,用于在成像雷达高度计数据中降低噪声.
- 这种方法提高了干扰图的质量,特别是对于海冰等复杂的表面.
- 该算法成功地平衡了噪声抑制与关键数据特征的保存.
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