Hello,
I’m having trouble using gpt speckle filter. I downloaded a sentinel 1 grd zip. I pre-proccessed it using the radiometric calibration tool from gpt. That worked fine.
Now, I’m trying to process the output of the calibration with speckle filter. The output of calibration is a .tif with 1.6GB. I have about 10GB free RAM and allocated 9GB to the heap size. However I get the following errors:
Waiting thread received a null tile.
Java heap space
I tried tweaking the parameters in gpt.vmoptions, snappy.ini, etc… I also checked and my JVM is 64-bits.
Anyways, shouldn’t 9GB of heap size be enough to run a 1.6GB tif? What should be the ratio between product size and memory consumption for the speckle filter tool?
Thanks in advance!