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check_wreck_mean_echo.m
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check_wreck_mean_echo.m
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% 2017 09 08 Check the mean echo from the shipwreck during the night to
% determine how strong it is compared to fish echoes
% Set up various paths
if isunix
addpath('~/internal_2tb/Dropbox/0_CODE/MATLAB/saveSameSize');
addpath('~/internal_2tb/Dropbox/0_CODE/MATLAB/epsutil');
addpath('~/internal_2tb/trex/trex_fish_code/Triplet_processing_toolbox');
base_save_path = '~/internal_2tb/trex/figs_results/';
base_data_path = '~/internal_2tb/trex/figs_results/';
else
addpath('F:\Dropbox\0_CODE\MATLAB\saveSameSize');
addpath('F:\Dropbox\0_CODE\MATLAB\epsutil');
addpath('F:\trex\trex_fish_code\Triplet_processing_toolbox');
base_save_path = 'F:\trex\figs_results';
base_data_path = 'F:\trex\figs_results';
end
% Set params
run_num = 131;
%ping_num = 70:2:300;
ping_num = 301:2:500;
% Set up various paths
data_path = sprintf('subset_beamform_cardioid_coherent_run%03d',run_num);
[~,script_name,~] = fileparts(mfilename('fullpath'));
save_path = fullfile(base_save_path,sprintf('%s_run%03d',script_name,run_num));
if ~exist(save_path,'dir')
mkdir(save_path);
end
% Set params
cmap = 'jet';
sm_len = 100;
axis_lim = [-4.3 -1.3 -4.5 -1.5];
norm_detail_plot = 0;
% Set up figure
fig = figure('position',[280 60 800 560]);
% Loop through each ping for averaging
beam_mf_accum = [];
cnt = 0;
for iP=1:length(ping_num)
fname = sprintf('%s_ping%04d.mat', data_path,ping_num(iP));
save_fname = sprintf('%s_run%03d_avgSincePing%04d_ping%04d',...
script_name,run_num,ping_num(1),ping_num(iP));
disp(['Processing ',fname])
A = load(fullfile(base_data_path,data_path,fname));
if iP==1
% Get plotting params
range_beam_sm = A.data.range_beam(1:sm_len:end);
[amesh,rmesh] = meshgrid(A.data.polar_angle,range_beam_sm);
[X,Y] = pol2cart(amesh/180*pi,rmesh);
% Echo level calibration
total_gain_crd_coh = A.param.gain_load -...
A.param.gain_sys -...
A.param.gain_beamform -...
A.param.gain_pc;
end
%beam_mf_accum(iP,:,:) = A.data.beam_mf_in_time;
if iP==1
beam_mf_accum = A.data.beam_mf_in_time;
else
beam_mf_accum = beam_mf_accum + A.data.beam_mf_in_time;
end
cnt = cnt+1;
% Get envelope and smooth/subsample for AVERAGED PING
%beam_mf_mean = squeeze(mean(beam_mf_accum,1));
if mod(iP,5)==0
beam_mf_mean = beam_mf_accum/cnt;
env_mean = nan(size(beam_mf_mean));
env_sm_mean = nan(size(env_mean));
for iA=1:size(env_mean,2)
env_mean(:,iA) = abs(hilbert(beam_mf_mean(:,iA)));
if sm_len==1
env_sm_mean(:,iA) = env_mean(:,iA);
else
env_sm_mean(:,iA) = smooth(env_mean(:,iA),sm_len);
end
end
env_sm_mean = env_sm_mean(1:sm_len:end,:);
% Get envelope and smooth/subsample for SINGLE PING
env = nan(size(A.data.beam_mf_in_time));
env_sm = nan(size(env));
for iA=1:size(env,2)
env(:,iA) = abs(hilbert(A.data.beam_mf_in_time(:,iA)));
if sm_len==1
env_sm(:,iA) = env(:,iA);
else
env_sm(:,iA) = smooth(env(:,iA),sm_len);
end
end
env_sm = env_sm(1:sm_len:end,:);
% Plot
figure(fig)
subplot(121) % raw ping
cla
h1 = pcolor(X/1e3,Y/1e3,20*log10(env_sm)+...
total_gain_crd_coh-3);
hold on
set(h1,'edgecolor','none');
axis equal
colormap(jet)
caxis([65 95])
colorbar('Ticks',65:10:95,'location','southoutside')
axis(axis_lim)
xlabel('Distance (km)','fontsize',14)
ylabel('Distance (km)','fontsize',14)
set(gca,'fontsize',12)
title(sprintf('Ping %04d, %02d:%02d:%02d',ping_num(iP),...
A.data.time_hh_local,A.data.time_mm_local,A.data.time_ss_local));
subplot(122) % averaged ping
cla
h1 = pcolor(X/1e3,Y/1e3,20*log10(env_sm_mean)+...
total_gain_crd_coh-3);
hold on
set(h1,'edgecolor','none');
axis equal
colormap(jet)
caxis([65 95])
colorbar('Ticks',65:10:95,'location','southoutside')
axis(axis_lim)
xlabel('Distance (km)','fontsize',14)
ylabel('Distance (km)','fontsize',14)
set(gca,'fontsize',12)
title(sprintf('Averaged since ping %04d',ping_num(1)));
%keyboard
saveSameSize_res(gcf,120,'file',fullfile(save_path,[save_fname,'.png']),...
'format','png');
end
end
%if iP==1
% beam_mf_accum = A.data.beam_mf_in_time;
%else
% beam_mf_accum = beam_mf_accum+A.data.beam_mf_in_time;
%end
if 0
% Get envelope and smooth/subsample
beam_mf_accum = beam_mf_accum/iP;
env_accum = nan(size(beam_mf_accum));
env_sm_accum = nan(size(env_accum));
for iA=1:size(env_accum,2)
env_accum(:,iA) = abs(hilbert(beam_mf_accum(:,iA)));
if sm_len==1
env_sm_accum(:,iA) = env_accum(:,iA);
else
env_sm_accum(:,iA) = smooth(env_accum(:,iA),sm_len);
end
end
env_sm_accum = env_sm_accum(1:sm_len:end,:);
% Get envelope and smooth/subsample
env = nan(size(A.data.beam_mf_in_time));
env_sm = nan(size(env));
for iA=1:size(env,2)
env(:,iA) = abs(hilbert(A.data.beam_mf_in_time(:,iA)));
if sm_len==1
env_sm(:,iA) = env(:,iA);
else
env_sm(:,iA) = smooth(env(:,iA),sm_len);
end
end
env_sm = env_sm(1:sm_len:end,:);
% Get plotting params
range_beam_sm = A.data.range_beam(1:sm_len:end);
[amesh,rmesh] = meshgrid(A.data.polar_angle,range_beam_sm);
[X,Y] = pol2cart(amesh/180*pi,rmesh);
% Echo level calibration
total_gain_crd_coh = A.param.gain_load -...
A.param.gain_sys -...
A.param.gain_beamform -...
A.param.gain_pc;
% Plot
fig = figure('position',[280 60 800 560]);
subplot(121)
h1 = pcolor(X/1e3,Y/1e3,20*log10(env_sm)+...
total_gain_crd_coh-3);
hold on
set(h1,'edgecolor','none');
axis equal
colormap(jet)
caxis([65 95])
axis(axis_lim)
xlabel('Distance (km)','fontsize',14)
ylabel('Distance (km)','fontsize',14)
set(gca,'fontsize',12)
title(['Ping ', num2str(iP)])
subplot(122)
h1 = pcolor(X/1e3,Y/1e3,20*log10(env_sm_accum)+...
total_gain_crd_coh-3);
hold on
set(h1,'edgecolor','none');
axis equal
colormap(jet)
caxis([65 95])
axis(axis_lim)
xlabel('Distance (km)','fontsize',14)
ylabel('Distance (km)','fontsize',14)
set(gca,'fontsize',12)
title('Averaged ping')
% end
end
if 0
% Plotting
% fig = figure('position',[280 60 800 560]);
% corder = get(gca,'colororder');
figure(fig)
suptitle(title_text)
h_ori = plot_small_echogram_raw(subplot(121),A,sm_len,ori_caxis,axis_lim);
caxis([65 95])
colorbar('Ticks',65:10:95,'location','southoutside')
set(gca,'fontsize',12,'xtick',-4.3:1:-1.3,'ytick',-4.5:1:-1.5);
axis([-4.3 -1.3 -4.5 -1.5]);
xlabel('Distance (km)','fontsize',16)
ylabel('Distance (km)','fontsize',16)
set(gca,'layer','top')
% Get normalizer output
plot_normalized_echogram(subplot(122),beamform_norm,meta,norm_param,norm_caxis,axis_lim);
tt = title(sprintf('sm%d, aux%dm, guard%d',...
norm_param.sm_len,norm_param.aux_m, ...
norm_param.guard_num_bw));
set(tt,'fontsize',12);
caxis([5 15])
colorbar('Ticks',5:2:15,'location','southoutside');
set(gca,'fontsize',12,'xtick',-4.3:1:-1.3,'ytick',-4.5:1:-1.5);
axis([-4.3 -1.3 -4.5 -1.5]);
xlabel('Distance (km)','fontsize',16)
ylabel('Distance (km)','fontsize',16)
set(gca,'layer','top')
saveas(fig,fullfile(save_path,[save_fname,'.fig']),'fig');
epswrite(fullfile(save_path,[save_fname,'.eps']));
saveSameSize_150(gcf,'file',fullfile(save_path,[save_fname,'.png']),...
'format','png');
% % bw version
% colormap(brewermap([],'Greys'))
% epswrite(fullfile(save_path,[save_fname,'_bw.eps']))
% saveSameSize_150(gcf,'file',fullfile(save_path,[save_fname,'_bw.png']),...
% 'format','png');
end