SARPROZ ©

Thanks for your help and suggestions.
Best regards

thank you for your help and always fast response.
asteris

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]

I apologise for the delayed thank you.
We appreciate the help. The results, with carefully consideration of the above suggestions, were found really close to the expectation we had.
Thank you again and always congrats on the work being done.

Hi Jaroslav,
surely, you can undo/recover lots of things in Sarproz (in fact, almost all operations).
In particular, you can undo “Residual fringes estimation and removal” by clicking on “reset flat/height constants”.
best

About a. b. and c. just go with a. The other options are still experimental.
About thresholds, use the suggested ones as starting point. If you are not happy, try to rise the minimum value for being more restrictive.

Thank you for the super fast response.
we are running now the data with what you suggested.

Regarding the graph analysis and refinement, we have looked at it, but we do not understand the parameters exactly what they exactly they are for. Checking the manual it doesn’t really go in depth:
(from manual)
3. press the button “go” in the “clusters…[Read more]

The result looks reasonable.
To check if the APS was well estimated, you the final “test” function. If the final coherence is high and evenly distributed, you are done. You can also plot the APS one by one to check for issues.
To understand if the height estimation range is correct, check the histogram of the connections residual height. You can…[Read more]

I also added this image.