def gendata(sarplat, targets):
Sr, ta, tr = iprs.tgs2rawdata(sarplat, targets, verbose=True)
# visualize
iprs.show_amplitude_phase(Sr)
# do RD imaging
# img, ta, tr = imcls.RangeDoppler(Sr, sarplat)
# vis.show_img(img)
img, ta, tr = iprs.omega_k(Sr, sarplat, verbose=True)
sardata = iprs.SarData()
sardata.rawdata = Sr
sardata.image = img
sardata.name = " "
return sardata
bgv = 0 # bg color : white
targets = iprs.img2tgs(grayimg, bg=bgv, noise=None)
imgshape = grayimg.shape
SrI = iprs.show_targets(targets, imgshape, outfile)
Sr, targets = iprs.img2rawdata(sarplat,
grayimg,
bg=bgv,
noise=None,
verbose=True)
# visualize
iprs.show_amplitude_phase(Sr)
if imagingMethod is 'RangeDoppler':
# do RD imaging
Sr_img, ta, tr = iprs.range_doppler(Sr, sarplat, verbose=False)
elif imagingMethod is 'OmegaK':
Sr_img, ta, tr = iprs.omega_k(Sr, sarplat, verbose=False)
elif imagingMethod is 'ChirpScaling':
Sr_img = iprs.chirp_scaling(Sr, sarplat, verbose=False)
# axismod = 'Image'
# axismod = 'SceneAbsolute'
axismod = 'SceneRelative'
title = 'Reconstructed Image using ' + imagingMethod
# title = 'Reconstructed Image using omega-k'
outfile = outfilename_prefix + "_" + imagingMethod + '.png'