下载数据:alaska.edu
利用SNAP处理数据
流程:split->apply orbit->back-geocoding - >deburst->subset->interferogram->stamps export
Split,选择IW1,VV极化
apply orbit,应用精密轨道
back-geocoding,用stack overview确定主影像,以其为准,每次配准5副影像,共做5次,注意每次配准主影像放置最高
deburst,去除条带
subset,打开deburst后的一个文件,右键subset即可,注意需保存save
interferogram,对sub文件生成干涉图
stamps格式导出,subset在上,干涉图fig在下
每个文件包含dem、diff0、geo、rslc四个文件夹,整理成一个文件
在Ubuntu18中配置好stamps、matlab等环境
在matlab中运行脚本1:
% amplitude difference dispersion (0.4 for PS and 0.6 for SBAS)
ADD_PS=0.4;
% number of patches in range and azimuth
NPatchesRange=5;
NPatchesAzimuth=5;
% paramters for StaMPS
density_rand=1;
weed_standard_dev=1;
weed_time_win=365;
merge_resample_size=100;
unwrap_grid_size=100;
unwrap_time_win=365;
masterdate= '20210825 ';
% prepare data
cmd=['mt_prep_snap ' masterdate pwd '/Export ' num2str(ADD_PS) ' ' num2str(NPatchesRange) ' ' num2str(NPatchesAzimuth) ' 50 50' ];
system(cmd);
stamps(1,1);
% set some parameters
setparm('density_rand',density_rand);
setparm('weed_standard_dev',weed_standard_dev);
setparm('weed_time_win',weed_time_win);
setparm('merge_resample_size',merge_resample_size);
setparm('unwrap_grid_size',unwrap_grid_size);
setparm('unwrap_time_win',unwrap_time_win);
setparm('insar_processor','snap');
进入每个生成的patch文件夹,运行:stamps(1,5)
返回上一级目录,运行:stamps(5,5)
去除大气相位:GACOS,设置经纬度、时间等,提交后邮箱收到文件,整理成APS文件夹:
将APS放置patch同一级目录下,运行脚本2:
stamps(5,5)
% remove atmospheric phase by gacos
getparm_aps;
load('parms.mat');
save('parms_aps.mat','heading','lambda','-append');
setparm_aps('gacos_datapath','./APS');
setparm_aps('UTC_sat','10:29');
aps_weather_model('gacos',1,3);
% phase unwrapping and time series analysis
setparm('tropo','a_gacos');
setparm('subtr_tropo','y');
stamps(6,6);
stamps(7,7);
%stamps(6,7);
% re-do phase unwrapping
unwrap_grid_size=getparm('unwrap_grid_size');
setparm('unwrap_method','3D');
setparm('unwrap_hold_good_values','y');
setparm('unwrap_grid_size',unwrap_grid_size+10);
stamps(6,6)
setparm('scla_deramp','y');
stamps(7,7)
stamps(6,7);
绘制时间序列形变图:ps_plot('V-dao','a_gacos',1,0,0,'ts')
主要参考up主尼莫:
https://www.bilibili/video/BV1vv411i7se?p=2&vd_source=5897ef2245bbf96656b07e9ef7ba73e6
下载数据:alaska.edu
利用SNAP处理数据
流程:split->apply orbit->back-geocoding - >deburst->subset->interferogram->stamps export
Split,选择IW1,VV极化
apply orbit,应用精密轨道
back-geocoding,用stack overview确定主影像,以其为准,每次配准5副影像,共做5次,注意每次配准主影像放置最高
deburst,去除条带
subset,打开deburst后的一个文件,右键subset即可,注意需保存save
interferogram,对sub文件生成干涉图
stamps格式导出,subset在上,干涉图fig在下
每个文件包含dem、diff0、geo、rslc四个文件夹,整理成一个文件
在Ubuntu18中配置好stamps、matlab等环境
在matlab中运行脚本1:
% amplitude difference dispersion (0.4 for PS and 0.6 for SBAS)
ADD_PS=0.4;
% number of patches in range and azimuth
NPatchesRange=5;
NPatchesAzimuth=5;
% paramters for StaMPS
density_rand=1;
weed_standard_dev=1;
weed_time_win=365;
merge_resample_size=100;
unwrap_grid_size=100;
unwrap_time_win=365;
masterdate= '20210825 ';
% prepare data
cmd=['mt_prep_snap ' masterdate pwd '/Export ' num2str(ADD_PS) ' ' num2str(NPatchesRange) ' ' num2str(NPatchesAzimuth) ' 50 50' ];
system(cmd);
stamps(1,1);
% set some parameters
setparm('density_rand',density_rand);
setparm('weed_standard_dev',weed_standard_dev);
setparm('weed_time_win',weed_time_win);
setparm('merge_resample_size',merge_resample_size);
setparm('unwrap_grid_size',unwrap_grid_size);
setparm('unwrap_time_win',unwrap_time_win);
setparm('insar_processor','snap');
进入每个生成的patch文件夹,运行:stamps(1,5)
返回上一级目录,运行:stamps(5,5)
去除大气相位:GACOS,设置经纬度、时间等,提交后邮箱收到文件,整理成APS文件夹:
将APS放置patch同一级目录下,运行脚本2:
stamps(5,5)
% remove atmospheric phase by gacos
getparm_aps;
load('parms.mat');
save('parms_aps.mat','heading','lambda','-append');
setparm_aps('gacos_datapath','./APS');
setparm_aps('UTC_sat','10:29');
aps_weather_model('gacos',1,3);
% phase unwrapping and time series analysis
setparm('tropo','a_gacos');
setparm('subtr_tropo','y');
stamps(6,6);
stamps(7,7);
%stamps(6,7);
% re-do phase unwrapping
unwrap_grid_size=getparm('unwrap_grid_size');
setparm('unwrap_method','3D');
setparm('unwrap_hold_good_values','y');
setparm('unwrap_grid_size',unwrap_grid_size+10);
stamps(6,6)
setparm('scla_deramp','y');
stamps(7,7)
stamps(6,7);
绘制时间序列形变图:ps_plot('V-dao','a_gacos',1,0,0,'ts')
主要参考up主尼莫:
https://www.bilibili/video/BV1vv411i7se?p=2&vd_source=5897ef2245bbf96656b07e9ef7ba73e6