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Research And Simulation System Software On Electromagnetic Scattering Echo Response Of Wheat

Posted on:2018-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z Z YuFull Text:PDF
GTID:2323330518987710Subject:Engineering
Abstract/Summary:PDF Full Text Request
Wheat is not only one of the three grains,but also one of the main grain crops in china.Therefore,it is necessary to accurately estimate the wheat planting area and can monitor the growth process of pests and diseases,in order to better improve crop yields.At present,the use of microwave remote sensing technology to survey crops has been a great success.Although optical remote sensing is used in this field earlier,the data is more convenient to obtain,but it is easy to be disturbed by the weather.The microwave remote sensing technology can not only monitor the measurement of all-weather,all day long time,also can through the vegetation,these advantages not only make up the shortcomings of optical remote sensing,but also directly promote the development of microwave remote sensing in agriculture.In this paper,the electromagnetic scattering mechanism of wheat and wheat was studied by using the polarization interference SAR on the random rough surface.First of all,in the process of using Pol-InSAR for signal processing in the first place on the regional survey image complex data information to two SAR image data in accordance with image registration,filtering,interference,phase unwrapping and digital elevation inversion process research,finally obtain the three-dimensional coordinates of survey area.The radar data can be visualized quickly,and the corresponding digital elevation information can be obtained.Because the quality of phase unwrapping determines the accuracy of digital elevation,this paper compares several phase unwrapping methods to provide users with information in time so as to achieve the purpose of monitoring the growth of wheat.Secondly,the relation between the incident angle and the backscattering coefficient of the random rough surface is studied.In this paper,the relationship between the incident angle and the backscattering coefficient of wheat can be clearly seen by the abstract description and the physical model.After the construction of the model of wheat,wheat and Study on polarization characteristics and relevant characteristics,so as to establish the wheat and the incident angle to the relationship between scattering coefficient,lay the foundation for the microwave remote sensing quantitative retrieval of biophysical parameters of wheat.The main contents of this paper are as follows:1.Introduces the Pol-InSAR in signal processing,read through two pairs of SAR image data,generate the main and auxiliary images and SLC interference image,Boxcar filtering images and coherent phase images,phase unwrapping image,digital image height.2.Study on the random rough surface modeling method,some methods were briefly introduced,which is mainly for the classical Kirchhoff approximation theory and the improved integral equation method(AIEM)in detail,the improved extended statistical integral equation method is put forward in the paper(SEAIEM)algorithm.3.The wheat is abstracted into a physical model of wheat leaf,stem and stalk were abstracted into discoid,acicular and finite cylindrical,and calculated using the generalized Rayleigh Jenkins physical model and the backward scattering coefficient relationship between the construction of the theoretical foundation for the next step of the whole model of wheat.4.According to the above two after the completion of the work,the whole model reconstruction for the wheat,wheat and the rough surface parameters,the relationship can accurately get the wheat microwave backscattering coefficient changes with incident angle changes,the theoretical basis for biomass inversion in the later stage of wheat.5.Based on the above research,the MATLAB GUI interface was designed to construct the electromagnetic scattering echo response system.
Keywords/Search Tags:Wheat, Microwave Remote Sensing, Electromagnetic Scattering, Echo Response, Physical Model, SEAIEM
PDF Full Text Request
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