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There is an offset in the geometric coordinates of the PRISMA satellite and I am trying to correct it using Sentinel-2 as a reference image. Then an error occurred regarding the input parameters:
(GR) congju@congjufu:~/georeferencing$ python AutomaticGeographicRegistration.py
/home/congju/anaconda3/envs/GR/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
Processing tif files: 0%|| 0/1 [00:00<?, ?it/s]Processing file #1: /home/congju/georeferencing/PRISMA/20230524101720.tif
Bounds of target TIFF file: BoundingBox(left=12.029533386230469, bottom=45.29204559326172, right=12.502799034118652, top=45.62303924560547)
Bounds of reference file /home/congju/georeferencing/standard/S2_b4_WGS84.tif: BoundingBox(left=11.538706894083058, bottom=44.99756712645166, right=12.999299064947925, top=46.024365385438045)
Reference file for /home/congju/georeferencing/PRISMA/20230524101720.tif is /home/congju/georeferencing/standard/S2_b4_WGS84.tif
Automatically detected nodata value for GeoArray_CoReg 'IN_MEM': 0.0
Calculating footprint polygon and actual data corner coordinates for reference image...
Polygonize progress |==================================================| 100.0% Complete => 0:00:00
Bounding box of calculated footprint for reference image:
(11.538706894083058, 44.99756712645166, 12.999238484236837, 46.024365385438045)
Automatically detected nodata value for GeoArray_CoReg 'IN_MEM': nan
Calculating footprint polygon and actual data corner coordinates for image to be shifted...
Polygonize progress |==================================================| 100.0% Complete => 0:00:00
/home/congju/anaconda3/envs/GR/lib/python3.10/site-packages/arosics/CoReg.py:124: UserWarning: The footprint of the image to be shifted contains multiple separate image parts. AROSICS will only process the largest image part.
warnings.warn('The footprint of the %s contains multiple separate image parts. '
Bounding box of calculated footprint for image to be shifted:
(12.192810034751892, 45.29204559326172, 12.502799034118652, 45.62303924560547)
Matching window position (X,Y): 12.392802429719932/45.41217173577678
/home/congju/georeferencing/AutomaticGeographicRegistration.py:118: UserWarning:
First attempt to check the functionality of co-registration failed. Check your input data and parameters. The following error occurred:
auto_adjust_local_coreg(geoArr_reference, geoArr_target, outputfile)
**Failed to coregister /home/congju/georeferencing/PRISMA/20230524101720.tif due to Matching window in target image is larger than overlap area but further shrinking the matching window is not possible.** Check if the footprints of the input data have been computed correctly.
Processing tif files: 100%|███████████████████████████████████████████████████████████████| 1/1 [00:05<00:00, 5.53s/it]
Please should I change any parameters?
What I Did
defauto_adjust_local_coreg(geoArr_reference, geoArr_target, outputfile, initial_grid_res=900, initial_max_shift=900):
grid_res=initial_grid_resmax_shift=initial_max_shiftwhileTrue:
try:
CR_LOCAL=COREG_LOCAL(
geoArr_reference,
geoArr_target,
grid_res=grid_res,
max_shift=max_shift,
path_out=outputfile,
CPUs=2
)
CR_LOCAL.calculate_spatial_shifts()
CR_LOCAL.correct_shifts()
break# if no errors, break the loopexceptRuntimeErrorase:
if'No match found in the given window'instr(e):
# adjust parameters and try againgrid_res+=40max_shift+=50else:
raisee
The text was updated successfully, but these errors were encountered:
The RunTimeError "No match found in the given window" is an error which may pop up when calling arosics.COREG, i.e., the global co-registration, because it refers to the computation of a single tie-point. In your snippet above, you are calling arosics.COREG_LOCAL, i.e., the local coregistration, which computes a whole grid of tie points. There, this RuntimeError will NOT be raised - it is captured at runtime. So I also see no reason to run COREG_LOCAL within a while-loop. I suggest to set the parameters grid_res and max_shift with reasonable values from the beginning on.
grid_res defines the distance between the computed tie-points as the number of pixels of the target image, i.e., if your target image has 1000x1000 pixels and you set grid_res to 100, arosics would try to compute more or less than 100 (10x10) tie points.
max_shift is meant to filter out tie points which do make sense at all because the computed shift is just too large. So set this parameter to a shift length which you think is too large to be reasonable (in reference image pixel units)
Please also check the documentation of the COREG_LOCAL parameters here.
Description
There is an offset in the geometric coordinates of the PRISMA satellite and I am trying to correct it using Sentinel-2 as a reference image. Then an error occurred regarding the input parameters:
Please should I change any parameters?
What I Did
The text was updated successfully, but these errors were encountered: