calamp

SLC amplitude calibration

import zarr
from matplotlib import pyplot as plt
import colorcet
from moraine.utils_ import is_cuda_available

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source

rslc2amp

 rslc2amp (rslc:numpy.ndarray)

calculation the amplitude from SLC/SLC stack

	Type	Details
rslc	ndarray	rslc, 2D/3D numpy array or cupy array
Returns	ndarray	amplitude, 2D/3D numpy array or cupy array

Usage:

rslc = zarr.open('../CLI/raw/rslc.zarr/','r')[:,:,1]
amp = rslc2amp(rslc)
amp_ = np.abs(rslc)
np.testing.assert_array_almost_equal(amp,amp_,decimal=4)
if is_cuda_available():
    amp_gpu = rslc2amp(cp.asarray(rslc))
    np.testing.assert_array_almost_equal(amp,amp_gpu.get(),decimal=4)

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source

calamp

 calamp (amp:numpy.ndarray)

calculation the calibrated amplitude from amplitude of one single SLC

	Type	Details
amp	ndarray	amplitude, 2D numpy array or cupy array
Returns	ndarray	calibrated amplitude, 2D numpy array or cupy array

rslc = zarr.open('../CLI/raw/rslc.zarr/','r')[:,:,0]
amp = np.abs(rslc)
amp_caled = calamp(amp)
if is_cuda_available():
    amp_gpu = cp.asarray(amp)
    amp_caled_gpu = calamp(amp_gpu)
    np.testing.assert_array_almost_equal(amp_caled,amp_caled_gpu.get(),decimal=3)
    # np.testing.assert_array_almost_equal(amp/np.nanmean(amp),amp_caled_gpu.get())

fig, ax = plt.subplots(1,1,figsize=(10,10))
pcm = ax.imshow(np.log(amp_caled))
ax.set(title='Calibrated Amplitude in log scale',xlabel='Range Index',ylabel='Azimuth Index')
fig.colorbar(pcm)
fig.show()