【雷达图像】SAR合成孔径雷达成像及处理含Matlab源码

简介: 【雷达图像】SAR合成孔径雷达成像及处理含Matlab源码

1 简介

该文介绍了自己在硕士研究生期间围绕SAR(合成孔径雷达)展开的研究工作.除了背景介绍外,具体包括了高分辨率雷达图像的模拟,植被生物量与雷达后向散射系数的反演曲线,SAR图像地表分数维信息和分辨率提高,用合成孔径雷达图像反演浅海水下地形以及雷达卫星SAR与防卫气象卫生SSM/I对渤海海冰的观测研究等五方面的研究工作.所有工作主要致力于SAR图像信息的模拟,处理及应用研究等领域.

2 部分代码

clear all;%======================================================================%%% (I) parameters' definition%======================================================================c=3e+8;                    % speed of lightpi=3.1415926;                  % pij00=sqrt(-1);                 % square root of -1res_a=2;                    % required azimuth resolutionres_r=2;                    % required range resolutionk_a=1.2;                    % azimuth factork_r=1.2;                    % range factorRa=4000.;                  % radar working distanceva=70.;                     % radar/platform forward velocityTp=1.e-6;                   % transmitted pulse width      fc=3.e+9;                    % carrier frequency FsFactor = 1.0;theta=90*pi/180;               % squint angle   %======================================================================lamda=c/fc;                  % wavelengthBr=k_r*c/2./res_r;             % required transmitted bandwidthFs=Br*FsFactor;               % A/D sampling ratebin_r=c/2./Fs;                 % range binKr=Br/Tp;                      % range chirp rate    La=Ra*k_a*lamda/2/res_a;            % required synthetic aperture lengthTa=La/va;                  % required synthetic aperture timefdc=2*va*cos(theta)/lamda;          % doppler centriodfdr=-2*(va*sin(theta)).^2/lamda/Ra;  % doppler rateBd=abs(fdr)*Ta;               % doppler bandwidthprf=round(Bd*2);               % PRF  %======================================================================%%%(II) echo return modelling (point target)%======================================================================na=fix(Ta*prf/2);              % azimuth sampling numberta=-na:na;                      ta=ta/prf;                   % slow time along azimuthxa=va*ta-Ra*cos(theta);           % azimuth location along flight trackNa=2*fix(na);%x0=[  0  0  0  0  0 ];             % define multi points if you want%R0=[-20 -10 0 10 20 ];             % x0: azimuth location (positive towards forward velocity)                                    % R0: slant range location (positive towards far range)x0=[ 0 0 ];  R0=[ 0 10 ];                % only one pointNpt_num = length(x0);ra=zeros(Npt_num, length(xa));      % calculate every point target's slant range historyfor i=1:Npt_num                                      ra(i,:)=sqrt((Ra*sin(theta)+R0(i)).^2+(xa+x0(i)).^2);     end   rmax=max(max(ra));            % max. slant rangermin=min(min(ra));            % min. slant rangermc=fix((rmax-rmin)/bin_r);      % range migration,  numberrg=0*ra;                            % initialize rg=fix((ra-rmin)/bin_r+1);        % range gate index caused by range migrationrgmax=max(max(rg));rgmin=min(min(rg));nr=round(Tp*Fs);              % samples of a plusetr=1:fix(nr)+1;                  tr=tr/Fs-Tp/2;                % fast time within a pluse durationNr=nr+rgmax;%======================================================================%%%(II) echo return modelling (point target)%======================================================================sig=zeros(Na,Nr); for i=1:Na        for k=1:Npt_num      sig(i,rg(k,i):rg(k,i)+nr)=sig(i,rg(k,i):rg(k,i)+nr)+exp(-j00*4*pi/lamda*ra(k,i))*exp(-j00*pi*Kr*(tr).^2);   end  endsig_real=real(sig);colormap(gray); 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3 仿真结果

4 参考文献

[1]张巍. 合成孔径雷达SAR图像信息的模拟,处理及应用[D]. 复旦大学, 2001.

博主简介:擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真,相关matlab代码问题可私信交流。


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