Radar application project help

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Radar application project help

  1. 1. RADAR APPLICATION (SAMPLE ASSIGNMENT) Our online Tutors are available 24*7 to provide Help with Help with Radar Application Homework/Assignment or a long term Graduate/Undergraduate Help with Radar Application Project. Our Tutors being experienced and proficient in Help with Radar Application ensure to provide high quality Help with Radar Application Homework Help. Upload your Help with Radar Application Assignment at ‘Submit Your Assignment’ button or email it to . You can use our ‘Live Chat’ option to schedule an Online Tutoring session with our Help with Radar Application Tutors. De-Speckling SAR (Synthetic Aperture RADAR) Image Analyze.m clear all;clc % Get Image File from the user [FileName,PathName] = uigetfile(... {'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files'},... 'Select Images','MultiSelect','off'); % Constructing FileName and FilePath for reading selected image I = strcat(PathName,FileName); RGB = imread(I); % Read Selected Image % RGB = imread('football.jpg'); OI = preprocess(RGB); % Preprocess Seleted Image % Get variance of noise from user v = input('Enter variance of speckle noise = '); NI = AddSpecNoise(OI,v); % Applying Savitzky-Golay Filter on Noisy Image B = sgolayfilt(NI,3,41,[],2); % Applying Median Filter on Noisy Image C = medfilt2(NI,[3 3]); % Get level of wavelet decomposition from user L = input('Enter level of wavelet decomposition = '); % Compute Non-Decimated Two Dimensional Wavelet Transform AI = ndwt2(OI,L,'db1'); BI = ndwt2(B,L,'db1'); CI = ndwt2(C,L,'db1'); % Applying Brute Force Threshold Algorithm for finding threshold [threshtemp MSEtemp PSNRtemp] = bft(NI,AI,BI,CI,L,2,'try'); info@assignmentpedia.com
  2. 2. % Selecting best threshold value from previous BFT ouput which gives % maximum PSNR as selecting for minimum MSE degrades the visual quality of % image. thresh = threshtemp(PSNRtemp==max(max(PSNRtemp))); thresh = max(max(thresh)); % Applying Brute Force Threshold Algorithm for computing best result [thresh MSE PSNR DI] = bft(NI,AI,BI,CI,L,2,'execute',thresh); % Visualize Image subplot(2,3,1);imshow(OI);title('Original Image'); subplot(2,3,2);imshow(NI);title('Speckled Image'); subplot(2,3,3);imshow(B);title('Savitzky-Golay Filetered Image'); subplot(2,3,4);imshow(C);title('Median Filetered Image'); subplot(2,3,5);imshow(DI);title('De-Speckled Image'); xlabel(['PSNR = ',num2str(PSNR),' dB',' ','MSE = ',num2str(MSE)]); figure(2); subplot(1,2,1);imshow(NI);title('Speckled Image'); subplot(1,2,2);imshow(DI);title('De-Speckled Image'); xlabel(['PSNR = ',num2str(PSNR),' dB',' ','MSE = ',num2str(MSE)]); visit us at www.assignmentpedia.com or email us at info@assignmentpedia.com or call us at +1 520 8371215

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