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hi
In the modules APS Estimation, Sparse Points Processing, and Graph Analysis and Refinement, I understand that selecting “Coherence” in the “Weights” option allows SARPROZ to read the interferometric phase from the INTERFEROGRAMS folder and use the magnitude (i.e., coherence) as the weighting factor.
correct
Now, I have developed my own weighting scheme. I would like to ask: can I directly use my weights as the magnitude, construct complex values accordingly, and save them into the interferograms? Does SARPROZ use coherence directly as weights, or does it apply a transformation (e.g., using $\gamma^2 / (1 – \gamma^2)$ instead of $\gamma$)?
yes you can and it will be directly used as weight
It would be very helpful if you could point me to any references regarding the network-based weighted estimation. So far, the only relevant reference I know is:
Perissin and Wang, 2012, Repeat-Pass SAR Interferometry With Partially Coherent Targets, IEEE TGRS.that’s the one!
Hi Marco,
yes, the multi-looking factors helps adjusting the size of pixels with the intent to make them symmetric.
And of course you are right that increasing the size of the filter in one dimension for un-symmetric pixels would make perfect sense. However, after a number of tests, we decided not to implement it, and to keep the size of the filter as small as the smallest resolution allows, based on our experience (or as small as the user likes).
bestHi Marco,
indeed, there is no pre-defined section to explicitly export filtered amplitude images. We planned to implement it, but it was left behind because not much used, this is probably the first time we are asked.
Anyway, you can still do it in a couple of ways.
The first general way is through the View/Export Extended Data/Results.
There, among the parameters, you find at the end of the menu “choose a real file”. you can then navigate to the folder “FILT_AMP” and pick you the image you want. Set manually the Saturation (default for amplitude is 0 3), check B & W as output and there you are. You can plot or export it.
Alternatively, in the multi-channel change detection, you can select “use filtered amp” as input, and then you can plot/export the data. Notice that you can do it for a single multi-channel product with 2/3/4 images or for a sequence.
Hope it is clear enough
bestHi Vitaliano,
the format of the images is not a big problem, you just need to write/read them using a couple of scripts that we can pass you. Some more care should be paid with the meta data, though.
I believe the most effective way to deal with your case is to talk about it in a call.
If good for you, please write an email to admin at sarproz dot com and we try to find a slot in these days
bestThank you Tome
if you send the files to support at sarproz dot com we can create a web link and post it here
bestHi,
yes, of course, you can export SMALL AREA result in Google Earth
you do it from the geocoding module
check here https://sarproz.com/manual/geocod.html if you click on the menu of export options, beside the csv you have also jpegs and various kml formats. kml/kmz are Google Earth formats
bestthe rar file was not uploaded either
13 images for a time series analysis is too limited, use at least 30 images
I suggest you write to support at sarproz dot com to better check the details
then we’ll post here the outcome of the investigation
bestThe log file was not uploaded, try zipping log files in the future
from the inputpar file we see anyway that you are using an old Sarproz version
soon we’ll post here in the forum instructions to download Sarproz compiled with matlab 2022a
try again later with the new version
if issues perists, we’ll start investigating the log file
in the meanwhile, you can check images (searching for issues in the amplitude) and interferograms (to check possible phase jumps).
also, it’s useful to see the images graph to have an idea of your dataset
bestPlease zoom in and keep clicking on points
you will see the time series
the point you picked up is just for visualizing the general picture from the distance, it’s not a real target
bestFor some reasons we never noticed this post, sorry.
The variable you are mentioning it the Incidence Matrix of the graph (or network) connecting the images of your site/project. The graph is basically the way in which “interferometrically” connect the images you have. There are many ways to connect your images: you can use the star graph (with one image at the center, the Master), or the full graph (each image is connected to all others) and so on. You can find a list of options in the dataset selection panel.
Regarding the sign of interferograms (image A – image B or viceversa) please read this https://sarproz.com/manual/save_interfs.html
This is topic thoroughly treated in the course.
Bestexactly
Hi, depending on the way in which you unzip your data, your data can be extracted in subfolders, masking the contents in a way that the software does not recognize them.
The standard way Sarproz recognizes sentinel data is, if the SLC folder contains directories called S1A_* … .SAFE or S1B_* … .SAFE
bestNo. You can do the reprojection yourself once you get the final output from Sarproz
bestit surely makes sense to consider the temporal coherence of a point
but not for estimating height and/or velocity
the temporal coherence is used e.g. to weight the spatial integration of the APS graph
besthi
* Sarproz gives explicit messages about the options that are taken. if you read messages carefully, you should be able to understand whether interferograms are read, whether flattening is assumed and so on
* in any case, if you apply a standard processing, the phase is read from images and the flat terrain phase is removed afterward. you can choose whether to remove the DEM or not and whether to estimate a residual height or not
* phase is read from interferograms only if you choose to use the coherence as a weight. in such case, the software assumes that inteferograms are flattened and that the external DEM was removed
* if no interferograms are available, the phase is taken from images, flat terrain and external DEM as subtracted automatically.+ in your case, if you want the software to read your custom processed phase, star graph, generate star graph interferograms, choose to weight data with the coherence
+ if you do not want to use a weight in the processing, just set the coherence equal to 1 (it’s the amplitude of interferograms)
+ about naming policies, check here: https://sarproz.com/manual/save_interfs.htmlbest