SARPROZ ©

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Sarproz can be used also offline with USB dongles.
Those who use it offline manage everything manually.
You can in fact import your own external DEM. Or if you want to use SRTM, you just need to download it manually and place it in an SRTM folder. https://sarproz.com/manual/choose_dem.html
The same with optical images, you can import your own…[Read more]

When Sarproz starts,
it checks for an internet connection.
If you have a proxy and if you have to configure your browser with the proxy infos in order to connect to internet, Sarproz will open up a window where you can input the proxy infos.
If this does not happen it means you can anyway connect to internet.
At that point, some ports might be…[Read more]

Hi Van Anh,
there are 3 windows in your desktop:
* main
* dataset selection
* slc data processing

in order to see the “dataset selection” window populated with dataset, sensor, master and so on, you have to import data into your project.
you can import data into your project through the window “slc data processing”. just start clicking buttons in…[Read more]

– Regarding the first question/answer, is that valid also if after the Graph Ref (GRA) we recompute the atmosphere in the APS? Is that recommended (or when it is recommended)?

* if after the graph refinement you import the SPMRautosave in the APS module, you do not need to estimate parameters anymore. you have already estimated them in the g…[Read more]

– Should we keep points parameter and value exactly the same as in the previous APS (that’s what I have done?

* are you talking about the “points densification” section? no. you can choose any parameter/value. in fact, the idea here is that you can add as many points as you want. You have already run the APS module. So, you have processed con…[Read more]

The reference point is a critical step. If the reference point is noisy, this can limit the precision of the final result. If the ref point is moving or if it is at high/low elevation, it can bias the result. If the ref point is in a remote area, errors can propagate and make the APS estimation worse. The software performs some automatic tests…[Read more]

The reference point is a critical step. If the reference point is noisy, this can limit the precision of the final result. If the ref point is moving or if it is at high/low elevation, it can bias the result. If the ref point is in a remote area, errors can propagate and make the APS estimation worse. The software performs some automatic tests…[Read more]

1. 20 images is a relatively low number. so, you have to be careful in choosing things properly
2. using the coherence as a weight means using the spatial coherence to keep coherent data and discard not coherent one. if you use the STAR graph, you should not expect high coherence, because of STAR graph long baselines. it means discarding data. it…[Read more]

1. 20 images is a relatively low number. so, you have to be careful in choosing things properly
2. using the coherence as a weight means using the spatial coherence to keep coherent data and discard not coherent one. if you use the STAR graph, you should not expect high coherence, because of STAR graph long baselines. it means discarding data. it…[Read more]

1. 20 images is a relatively low number. so, you have to be careful in choosing things properly
2. using the coherence as a weight means using the spatial coherence to keep coherent data and discard not coherent one. if you use the STAR graph, you should not expect high coherence, because of STAR graph long baselines. it means discarding data. it…[Read more]

1. 20 images is a relatively low number. so, you have to be careful in choosing things properly
2. using the coherence as a weight means using the spatial coherence to keep coherent data and discard not coherent one. if you use the STAR graph, you should not expect high coherence, because of STAR graph long baselines. it means discarding data. it…[Read more]

1. 20 images is a relatively low number. so, you have to be careful in choosing things properly
2. using the coherence as a weight means using the spatial coherence to keep coherent data and discard not coherent one. if you use the STAR graph, you should not expect high coherence, because of STAR graph long baselines. it means discarding data. it…[Read more]