多频段典型地表后向散射回波经验模型

doi:10.3969/j.issn.1001-2400.2016.05.033

西安电子科技大学学报

• 研究论文 • 上一篇

多频段典型地表后向散射回波经验模型

张元元1;吴振森1;张玉石2

(1. 西安电子科技大学物理与光电工程学院，陕西西安 710071;
2. 中国电波传播研究所，山东青岛 266107)

收稿日期:2015-12-01 出版日期:2016-10-20 发布日期:2016-12-02
通讯作者: 张元元
作者简介:张元元(1986-)，女，西安电子科技大学博士研究生，E-mail: zyy07063@163.com．
基金资助:
国家自然科学基金资助项目(61571355)

Multi-band empirical model for backscattering coefficients prediction from typical land surfaces

ZHANG Yuanyuan1;WU Zhensen1;ZHANG Yushi2

(1. School of Physics and Optoelectronic Engineering, Xidian Univ., Xi'an 710071, China;
2. China Research Institute of Radio Wave Propagation, Qingdao 266107, China)

Received:2015-12-01 Online:2016-10-20 Published:2016-12-02
Contact: ZHANG Yuanyuan

摘要/Abstract

摘要：

为了发挥雷达遥感数据的应用潜力，同时解决地表电磁散射模型输入参数众多以及地表回波预测不准确等问题，从电磁散射理论出发，分别将地表随机粗糙面散射和离散随机介质体散射模型简化，建立了单频段地表散射回波与雷达参数间的经验模型，并通过寻找其未知参数随频率的变化关系，进一步创建了多频段七参数地表后向散射经验模型，并对该模型进行了验证．结果表明，多频段地表后向散射经验模型的预测值与实测数据整体吻合良好，实现了对宽频带范围内任意频率点地表后向散射回波的准确预测，提高了模型的计算效率．

关键词: 多波段, 电磁散射, 地表, 经验模型

Abstract:

Based on the electromagnetic scattering theory of the rough surface and discrete random medium, a multi-band empirical model for land backscattering prediction in 1～16GHz is proposed to tap the potential of remote sensing in application for agricultural production and targets detection efficiently. It should be noticed that this empirical model only have seven unknowns, and that it overcomes the problems in numerous inputs and inaccuracies echoes prediction. It is verified by the measured data of soil, sand and concrete in the L/S/X/Ku band for HH and VV polarizations. The results show that the backscattering coefficients from soil, sand and concrete predicted by the empirical model are in good agreement with the measured data. Meanwhile, this multi-band empirical model can be used to forecast the backscattering echoes at any frequency in 1～16GHz accurately. So this empirical model has a great application value for it can greatly improve the computational efficiency for the backscattering coefficients prediction, and also it can effectively reduce the workload in the field experiments.

Key words: multi-band, electromagnetic scattering, land, empirical model

张元元;吴振森;张玉石. 多频段典型地表后向散射回波经验模型[J]. 西安电子科技大学学报, 2016, 43(5): 190-196.

ZHANG Yuanyuan;WU Zhensen;ZHANG Yushi. Multi-band empirical model for backscattering coefficients prediction from typical land surfaces[J]. Journal of Xidian University, 2016, 43(5): 190-196.

参考文献

［1］ SU Y, GUO Q, XUE B, et al. Spatial Distribution of Forest Aboveground Biomass in China: Estimation through Combination of Spaceborne Lidar, Optical Imagery, and Forest Inventory Data［J］. Remote Sensing of Environment, 2016, 173: 187-199.
［2］ OZLEM K, GARCIA-RUBIA J M, NGHIA T, et al. Detection of Moving Human Micro-Doppler Signature in Forest Environments with Swaying Tree Components by Wind［J］. Radio Science, 2015, 50: 238-248.
［3］ RASHIDI-RANJBAR E, DEHMOLLAIAN M. Target above Random Rough Surface Scattering Using a Parallelized IPO Accelerated by MLFMM［J］. IEEE Geoscience and Remote Sensing Letters, 2015, 12: 1481-1485.
［4］ NASHASHIBI A, ULABY F T, SARABANDI K. Measurement and Modeling of the Millimeter-wave Backscatter Response of Soil Surfaces［J］. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(2): 561-572.
［5］ OH Y, SARABANDI K, ULABY F T. An Empirical Model and an Inversion Technique for Radar Scattering from Bare Soil Surfaces［J］. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(2): 370-381.
［6］张连波, 郭立新, 苟雪银, 等. 三层粗糙面电磁散射的矩量法研究［J］. 西安电子科技大学学报, 2013, 40(6): 147-154.
ZHANG Lianbo, GUO Lixin, GOU Xueyin, et al. Method of Moment Investigation on Electromagnetic Scattering from the Three-layered Rough Interfaces［J］. Journal of Xidian University, 2013, 40(6): 147-154.
［7］ FUNG A K. Microwave Scattering and Emission Models and Their Applications ［M］. Norwood: Artech House, 1994.
［8］ LI E S, SARABANDI K. Low Grazing Incidence Millimeter-wave Scattering Models and Measurements for Various Road Surfaces［J］. IEEE Transactions on Antennas and Propagation, 1999, 47(5): 851-861.
［9］ NASHASHIBI A Y, SARABANDI K, AL-ZAID F A, et al. An Empirical Model of Volume Scattering from Dry Sand-covered Surfaces at Millimeter-wave Frequencies［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3673-3682.
［10］郑帆, 郭立新, 刘伟. 风积新月形沙丘的电磁散射特性分析［J］. 西安电子科技大学学报, 2013, 40(6): 132-139.
ZHENG Fan, GUO Lixin, LIU Wei. Analysis of Electromagetic Scattering from the Wind-blown Barchan ［J］. Journal of Xidian University, 2013, 40(6): 132-139.
［11］ LIEVENS H, VERHOEST N E C. On the Retrieval of Soil Moisture in Wheat Fields from L-band SAR Based on Water Cloud Modeling, the IEM, and Effective Roughness Parameters［J］. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 740-744.
［12］ DUBOIS P C, van ZYL J, ENGMAN T. Measuring Soil Moisture with Imaging Radars［J］. IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(4): 915-926.
［13］ SHI J, WANG J, HSU A Y, et al. Estimation of Bare Soil Moisture and Surface Roughness Parameters Using L-band SAR Image Data［J］. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(5):1254-1266.
［14］ ZRIBI M, GORRAB A, BAGHDADI N. A New Soil Roughness Parameter for the Modelling of Radar Backscattering over Bare Soil［J］. Remote Sensing of Environment, 2014, 152: 62-73.
［15］ ULABY F T, DONSON M C. Handbook of Radar Scattering Statistics for Terrain［M］. Norwood: Artech House, 1989.
［16］ ULABY F T. Vegetation Clutter Model［J］. IEEE Transactions on Antennas and Propagation, 1980, 28(4): 538-545.
［17］ CHEN K L, CHEN K S, LI Z L, et al. Extension and Validation of an Advanced Integral Equation Model for Bistatic Scattering from Rough Surfaces ［J］. Progress In Electromagnetics Research, 2015, 152: 59-76.
［18］ HAFFNER S, PEREIRA L A, PEREIRA L F A. A Method for Optimization of Five-phase Induction Machines Based on Genetic Algorithms［J］. Journal of Control Automation ＆ Electrical Systems, 2016, 26(5): 521-534.

[1]	杨晓莉,蔺素珍. 一种注意力机制的多波段图像特征级融合方法[J]. 西安电子科技大学学报, 2020, 47(1): 120-127.
[2]	王强;郭立新;刘忠玉. 粗糙海面与上方多目标瞬态电磁散射混合算法[J]. 西安电子科技大学学报, 2018, 45(5): 57-63.
[3]	王飞;魏兵;杨谦;李林茜. 色散手征介质FDTD分析的Newmark方法[J]. 西安电子科技大学学报, 2017, 44(1): 40-44+124.
[4]	王金伟;孙光才;吴玉峰;周峰;张子敬. 多波段SAR系统动目标检测和参数优化设计[J]. J4, 2014, 41(3): 63-70.
[5]	张连波;郭立新;苟雪银;王安琪. 三层粗糙面电磁散射的矩量法研究[J]. J4, 2013, 40(6): 147-154.
[6]	郑帆;郭立新;刘伟. 风积新月形沙丘的电磁散射特性分析[J]. J4, 2013, 40(6): 132-139.
[7]	李杰;郭立新;何琼;吴振森;王晓冰. 复合电磁散射分析中的精确几何建模[J]. J4, 2012, 39(6): 92-98.
[8]	靳国旺;张红敏;徐青;龚志辉. 多波段InSAR的CRT相位解缠方法[J]. J4, 2011, 38(6): 97-102.
[9]	关莹;龚书喜;徐云学;张帅;姜文. 适用于裁剪NURBS曲面RCS预估的改进的物理光学法[J]. J4, 2010, 37(5): 893-897.
[10]	雷继兆;梁昌洪;张玉. 并行FDTD结合服务器分析电大电磁问题[J]. J4, 2009, 36(5): 846-850.
[11]	姬金祖;武哲;刘战合. S弯进气道隐身设计中弯度参数研究[J]. J4, 2009, 36(4): 746-750.
[12]	邵晓鹏;常蓬勃;徐军. 土壤与植被混合型地表的温度场特性分析 [J]. J4, 2009, 36(1): 122-126.
[13]	王蕊;郭立新;杨阁. 等离子体涂层椭球目标的电磁散射 [J]. J4, 2008, 35(5): 903-909.
[14]	黄沛霖;姬金祖;武哲. 飞行器目标的双站散射特性研究 [J]. J4, 2008, 35(1): 140-143.
[15]	胡晓娟;葛德彪. 三维复杂目标电磁散射的FDFD分析 [J]. J4, 2007, 34(7): 132-135.

多频段典型地表后向散射回波经验模型

Multi-band empirical model for backscattering coefficients prediction from typical land surfaces

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10