Snowpack Permittivity Retrieval Using Particle Swarm Optimization Algorithm

IF 4.4
Lekhmissi Harkati
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Abstract

This letter deals with the estimation of the refractive index of snowpack based on particle swarm optimization (PSO) algorithm. By leveraging its ability to handle multidimensional optimization problems, PSO is used both to compute the shortest path between the synthetic aperture radar tomographic system antenna and the imaged snowpack scatterers, taking into account its permittivity and to optimize the difference in depth coordinates between the snowpack tomogram and a simulated one using the same system configuration and measurement parameters. The proposed method is applied on two measured tomogram, namely, those whose data were acquired during a measurement campaign carried out in the French Alps.
基于粒子群优化算法的积雪介电常数反演
本文研究了基于粒子群优化算法的积雪折射率估计。利用粒子群算法处理多维优化问题的能力,在考虑其介电常数的情况下,计算合成孔径雷达层析成像系统天线与积雪散射体之间的最短路径,并在相同的系统配置和测量参数下,优化积雪层析成像与模拟层析成像之间的深度坐标差。所提出的方法应用于两个测量层析图,即那些在法国阿尔卑斯山进行的测量运动中获得的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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