SARPROZ ©

the license for windows is different from the one for linux/mac
did you do this?:
1) open a terminal (2) type ‘hostname’ (3) ping the returned name (eg: ping mycomputername)
(4) if no packets are received, add the name returned by ‘hostname’ to the file /etc/hosts

the smart function is a non parametric model, basically a time filter that smooths residuals. thermal expansion is a function of temperature, which has a smooth component in time (like a sinusoid with 1 year period), but also higher frequencies fluctuations. the smart model would compensate only for the smooth component, while actual temperatures…[Read more]

Hi,
1. in the APS module the aim is estimating the APS, not the model parameters.
2. the APS is estimated from phase residuals. phase residuals = original phase – model. if the model is wrong, phase residuals will be wrong and the APS will be wrong.
If you have non linear signals, given the 2 above statements, you should either estimate as well as…[Read more]

there is some conflict between your operating system/hardware/software configuration and the Matlab MCR. Write to support at sarproz dot come and ask for the Sarproz version compiled with matlab 2017. it might solve your issue
best

hi
you are trying to read a geocoded interferogram. geocoded data should be read with proper tools, as gis engines. or otherwise just import the geotif file in any coding environment, if u have geotif libraries.
leggi/scrivi are functions to be used in sarproz with sarproz-format data in SAR coordinates

From your attachments, the best result is the linear one.

Few hints that work in general (but might not work in some particular cases):
1. when estimating the APS, better to focus on good scatterers, not affected by thermal or non-linear movement. so, using a linear model only is a good choice. you will include other more complex scatteters later…[Read more]

hi,
to become able to recognize correlated results or to spot possible problematic signals, you need training and experience. difficult to help you much with theoretical statements. we should look at your results together and then we could give you some suggestions.
however, here some general hints:
+ it is correct to check that the peaks of the…[Read more]

radar data are complex, not real
so, firstly, u cannot read complex data from jpeg files, u have to read the binary files
secondly, u have to tell “leggi” that data are complex
u do this adding a flag, according to this syntax: https://www.sarproz.com/groups/sarproz-group/forum/topic/aps-processing-4/
best

hi, check this about phase jumps: https://www.sarproz.com/groups/sarproz-group/forum/topic/burst-lines-on-interfereograms/#post-5462
best

good that you found the solution. however, I do not suggest you to use the ampl xcorr as default. we’ll try to find out a way to use it only in case of failures.

this is something we need to look at together. let’s plan a conf call via email please

hi,
1. if you want to work on data in the way you describe, you should use matlab.
2. to read data in sarproz (in matlab), you can use the “leggi” function https://www.sarproz.com/groups/sarproz-group/forum/topic/aps-processing-4/
3. using “leggi” you can directly read the original images and perform all what you need without caring about APS…[Read more]

infos on leggi and scrivi: https://www.sarproz.com/groups/sarproz-group/forum/topic/aps-processing-4/
u are exporting geotiff rgb, which is in uint8 values. to export floating numbers, use geotiff 32: https://sarproz.com/manual/plot_par_mod.html

Hi Dominika,
First of all, at the moment we did not think about letting the user pass a manual reference point in the APS module in the command line mode. The sw will load the RefPoint.mat file (the default way it is usually saved), if it is working in update mode. Otherwise, it’s the sw to choose the default ref point. The reason is because in…[Read more]

right

there are no errors in the attachment
did you check the Doppler Centroid?
how many images are displayed in the dataset selection window?

Thank you Vasiliki,
we realized it’s a bug introduced by a newer version of Matlab.
Just fixed it, you can download the latest pcodes version here: https://u.pcloud.link/publink/show?code=XZfXbNkZcq806plARHYTeHYX40qSauYhenuV
Keep the license.key file, it’s going to be the same.
best

data have been correctly coregistered
however, it could be that the normal baseline exceeds the bn limit in dataset selection, for this reason, an image is kept out of the dataset, and the total count is less than the number of existing SLCs, for this reason the button is yellow
modify the bn limit in dataset selection
best

generally speaking, u need to include the log file (zip it before attaching it)
in detail, error messages are always more informative and definitive than button colors.
if you did not get any error messages, go ahead.
best