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reference_point.py
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reference_point.py
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############################################################
# Program is part of MintPy #
# Copyright (c) 2013, Zhang Yunjun, Heresh Fattahi #
# Author: Zhang Yunjun, Heresh Fattahi, 2013 #
############################################################
import os
import random
import h5py
import numpy as np
from mintpy.utils import ptime, readfile, utils as ut, writefile
###############################################################
def nearest(x, tbase, xstep):
""" find nearest neighbour """
dist = np.sqrt((tbase - x)**2)
if min(dist) <= np.abs(xstep):
indx = dist == min(dist)
else:
indx = []
return indx
def reference_file(inps):
"""Seed input file with option from input namespace
Return output file name if succeed; otherwise, return None
"""
atr = readfile.read_attribute(inps.file)
# update_mode
if (not inps.force
and inps.ref_y is not None and inps.ref_y == int(atr.get('REF_Y', -999))
and inps.ref_x is not None and inps.ref_x == int(atr.get('REF_X', -999))):
print('SAME reference pixel is already selected/saved in file, skip updating.')
return inps.file
# Check 1 - stack and its non-nan mask pixel coverage
# outFile=False --> no avgPhaseVelocity file is generated due to the lack of reference point info.
# did not use maskConnComp.h5 because not all input dataset has connectComponent info
if atr['FILE_TYPE'] == 'ifgramStack':
ds_name = [i for i in readfile.get_dataset_list(inps.file)
if i in ['unwrapPhase', 'rangeOffset', 'azimuthOffset']][0]
else:
ds_name = None
stack = ut.temporal_average(inps.file, datasetName=ds_name, updateMode=True, outFile=False)[0]
mask = np.multiply(~np.isnan(stack), stack != 0.)
if np.nansum(mask) == 0.0:
raise ValueError('no pixel found with valid phase value in all datasets.')
# Check 2 - input ref_y/x: location and validity
if inps.ref_y is not None and inps.ref_x is not None:
if mask[inps.ref_y, inps.ref_x] == 0.:
raise ValueError('reference y/x have nan value in some dataset. Please re-select.')
else:
# Find reference y/x
if inps.method == 'maxCoherence':
inps.ref_y, inps.ref_x = select_max_coherence_yx(
coh_file=inps.coherenceFile,
mask=mask,
min_coh=inps.minCoherence)
elif inps.method == 'random':
inps.ref_y, inps.ref_x = random_select_reference_yx(mask)
elif inps.method == 'manual':
inps = manual_select_reference_yx(stack, inps, mask)
# Check ref_y/x from auto method
if inps.ref_y is None or inps.ref_x is None:
raise ValueError('ERROR: no reference y/x found.')
# Seeding file with reference y/x
atrNew = reference_point_attribute(atr, y=inps.ref_y, x=inps.ref_x)
if not inps.write_data:
print('Add/update ref_x/y attribute to file: '+inps.file)
print(atrNew)
inps.outfile = ut.add_attribute(inps.file, atrNew)
else:
inps.outfile = inps.outfile if inps.outfile else inps.file
ftype = atr['FILE_TYPE']
fext = os.path.splitext(inps.file)[1]
if fext == '.h5':
if inps.outfile == inps.file:
print('updating dataset values without re-writing to a new file')
if ftype == 'ifgramStack':
with h5py.File(inps.file, 'r+') as f:
ds = f['unwrapPhase']
num_date12 = ds.shape[0]
prog_bar = ptime.progressBar(maxValue=num_date12)
for i in range(num_date12):
prog_bar.update(i+1, suffix=f'{i+1} / {num_date12}')
# make a copy of ds[i] because h5py allows fancy indexing for 1D arrays only.
data_2d = ds[i, :, :]
# apply spatial referencing (skip pixels with no-data-value)
data_2d[data_2d != 0.] -= data_2d[inps.ref_y, inps.ref_x]
ds[i, :, :] = data_2d
prog_bar.close()
print('update metadata')
f.attrs.update(atrNew)
else:
with h5py.File(inps.file, 'r+') as f:
ds = f[ftype]
if len(ds.shape) == 3:
# 3D matrix
for i in range(ds.shape[0]):
ds[i, :, :] -= ds[i, inps.ref_y, inps.ref_x]
else:
# 2D matrix
ds[:] -= ds[inps.ref_y, inps.ref_x]
print('update metadata')
f.attrs.update(atrNew)
else:
## write to a new file
print(f'writing the referenced data into file: {inps.outfile}')
# 1. read and update data value
data, atr = readfile.read(inps.file, datasetName=ftype)
if len(data.shape) == 3:
# 3D matrix
for i in range(data.shape[0]):
data[i, :, :] -= data[i, inps.ref_y, inps.ref_x]
else:
# 2D matrix
data -= data[inps.ref_y, inps.ref_x]
# 2. update metadata
atr.update(atrNew)
# 3. write to file
writefile.write(data, inps.outfile, metadata=atr, ref_file=inps.file)
else:
# for binary file, over-write directly
dis_names = ['phase', 'displacement']
ds_names = readfile.get_dataset_list(inps.file)
ds_dict = {}
for ds_name in ds_names:
data = readfile.read(inps.file, datasetName=ds_name)[0]
if ds_name in dis_names:
data -= data[inps.ref_y, inps.ref_x]
else:
print(f"skip spatial referencing for {ds_name}, as it's not in {dis_names}")
ds_dict[ds_name] = data
atr.update(atrNew)
writefile.write(ds_dict, out_file=inps.outfile, metadata=atr)
ut.touch([inps.coherenceFile, inps.maskFile])
return inps.outfile
def reference_point_attribute(atr, y, x):
atrNew = dict()
atrNew['REF_Y'] = str(y)
atrNew['REF_X'] = str(x)
coord = ut.coordinate(atr)
if 'X_FIRST' in atr.keys():
atrNew['REF_LAT'] = str(coord.yx2lalo(y, coord_type='y'))
atrNew['REF_LON'] = str(coord.yx2lalo(x, coord_type='x'))
return atrNew
###############################################################
def manual_select_reference_yx(data, inps, mask=None):
"""Manually select reference point in row/column number.
Parameters: data : 2D np.ndarray, stack of input file
inps : namespace, with key 'REF_X' and 'REF_Y', which will be updated
mask : 2D np.ndarray
"""
from matplotlib import pyplot as plt
print('\nManual select reference point ...')
print('Click on a pixel that you want to choose as the reference ')
print(' pixel in the time-series analysis;')
print('Then close the displayed window to continue.\n')
if mask is not None:
data[mask == 0] = np.nan
# Mutable object
# ref_url: http://stackoverflow.com/questions/15032638/how-to-return
# -a-value-from-button-press-event-matplotlib
# Display
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(data)
# Selecting Point
def onclick(event):
if event.button == 1:
print('click')
x = int(event.xdata+0.5)
y = int(event.ydata+0.5)
if not np.isnan(data[y][x]):
print('valid input reference y/x: '+str([y, x]))
inps.ref_y = y
inps.ref_x = x
# plt.close(fig)
else:
print('\nWARNING:')
print('The selected pixel has NaN value in data.')
print('Try a difference location please.')
fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()
print(f'y/x: {(inps.ref_y, inps.ref_x)}')
return inps
def select_max_coherence_yx(coh_file, mask=None, min_coh=0.85):
"""Select pixel with coherence > min_coh in random"""
print(f'random select pixel with coherence > {min_coh}')
print('\tbased on coherence file: '+coh_file)
coh = readfile.read(coh_file)[0]
if mask is not None:
coh[mask == 0] = 0.0
coh_mask = coh >= min_coh
if np.all(coh_mask == 0.):
msg = ('No pixel with average spatial coherence > {} '
'are found for automatic reference point selection!').format(min_coh)
msg += '\nTry the following:'
msg += '\n 1) manually specify the reference point using mintpy.reference.yx/lalo option.'
msg += '\n 2) change mintpy.reference.minCoherence to a lower value.'
raise RuntimeError(msg)
y, x = random_select_reference_yx(coh_mask, print_msg=False)
#y, x = np.unravel_index(np.argmax(coh), coh.shape)
print(f'y/x: {(y, x)}')
return y, x
def random_select_reference_yx(data_mat, print_msg=True):
nrow, ncol = np.shape(data_mat)
y = random.choice(list(range(nrow)))
x = random.choice(list(range(ncol)))
while data_mat[y, x] == 0:
y = random.choice(list(range(nrow)))
x = random.choice(list(range(ncol)))
if print_msg:
print(f'random select pixel\ny/x: {(y, x)}')
return y, x
###############################################################
def read_template2inps(template_file, inps):
"""Read seed/reference info from template file and update input namespace"""
inps_dict = vars(inps)
template = readfile.read_template(template_file, skip_chars=['[', ']'])
template = ut.check_template_auto_value(template)
prefix = 'mintpy.reference.'
key_list = [i for i in list(inps_dict)
if prefix+i in template.keys()]
for key in key_list:
value = template[prefix+key]
if value:
if key in ['coherenceFile', 'maskFile']:
inps_dict[key] = value
elif key == 'minCoherence':
inps_dict[key] = float(value)
key = prefix+'yx'
if key in template.keys():
value = template[key]
if value:
inps.ref_y, inps.ref_x = (int(i) for i in value.split(','))
key = prefix+'lalo'
if key in template.keys():
value = template[key]
if value:
inps.ref_lat, inps.ref_lon = (float(i) for i in value.split(','))
return inps
def read_reference_file2inps(reference_file, inps=None):
"""Read reference info from reference file and update input namespace"""
atrRef = readfile.read_attribute(inps.reference_file)
if (inps.ref_y is None or inps.ref_x is None) and 'REF_X' in atrRef.keys():
inps.ref_y = int(atrRef['REF_Y'])
inps.ref_x = int(atrRef['REF_X'])
if (inps.ref_lat is None or inps.ref_lon is None) and 'REF_LON' in atrRef.keys():
inps.ref_lat = float(atrRef['REF_LAT'])
inps.ref_lon = float(atrRef['REF_LON'])
return inps
def read_reference_input(inps):
atr = readfile.read_attribute(inps.file)
length = int(atr['LENGTH'])
width = int(atr['WIDTH'])
inps.go_reference = True
if inps.reset:
remove_reference_pixel(inps.file)
inps.outfile = inps.file
inps.go_reference = False
return inps
print('-'*50)
# Check Input Coordinates
# Read ref_y/x/lat/lon from reference/template
# priority: Direct Input > Reference File > Template File
if inps.template_file:
print('reading reference info from template: '+inps.template_file)
inps = read_template2inps(inps.template_file, inps)
if inps.reference_file:
print('reading reference info from reference: '+inps.reference_file)
inps = read_reference_file2inps(inps.reference_file, inps)
if inps.ref_lat and np.abs(inps.ref_lat) > 90 and 'UTM_ZONE' not in atr.keys():
msg = f'input reference latitude ({inps.ref_lat}) > 90 deg in magnitude!'
msg += ' This does not make sense, double check your inputs!'
raise ValueError(msg)
# Convert ref_lat/lon to ref_y/x
coord = ut.coordinate(atr, lookup_file=inps.lookup_file)
if inps.ref_lat and inps.ref_lon:
(inps.ref_y,
inps.ref_x) = coord.geo2radar(np.array(inps.ref_lat),
np.array(inps.ref_lon))[0:2]
print(f'input reference point in lat/lon: {(inps.ref_lat, inps.ref_lon)}')
# Check input ref_y/x
if inps.ref_y is not None and inps.ref_x is not None:
print(f'input reference point in y/x: {(inps.ref_y, inps.ref_x)}')
# Do not use ref_y/x outside of data coverage
if not (0 <= inps.ref_y < length and 0 <= inps.ref_x < width):
inps.ref_y, inps.ref_x = None, None
raise ValueError('input reference point is OUT of data coverage!')
# Do not use ref_y/x in masked out area
if inps.maskFile and os.path.isfile(inps.maskFile):
print('mask: '+inps.maskFile)
ds_names = readfile.get_dataset_list(inps.maskFile)
ds_name = [x for x in ds_names if x in ['mask', 'waterMask']][0]
mask = readfile.read(inps.maskFile, datasetName=ds_name)[0]
if mask[inps.ref_y, inps.ref_x] == 0:
inps.ref_y, inps.ref_x = None, None
msg = f'input reference point is in masked OUT area defined by {inps.maskFile}!'
raise ValueError(msg)
else:
# Determine auto selection method
print('no input reference y/x.')
if not inps.method:
# Use existing REF_Y/X if 1) no ref_y/x input and 2) no method input and 3) ref_yx is in coverage
if (not inps.force
and 'REF_X' in atr.keys()
and 0 <= float(atr['REF_Y']) <= length
and 0 <= float(atr['REF_X']) <= width):
print('REF_Y/X exists in input file, skip updating.')
print('REF_Y: '+atr['REF_Y'])
print('REF_X: '+atr['REF_X'])
inps.outfile = inps.file
inps.go_reference = False
# method to select reference point
elif inps.coherenceFile and os.path.isfile(inps.coherenceFile):
inps.method = 'maxCoherence'
else:
inps.method = 'random'
print('reference point selection method: '+str(inps.method))
print('-'*50)
return inps
def remove_reference_pixel(File):
"""Remove reference pixel info from input file"""
print("remove REF_Y/X and/or REF_LAT/LON from file: "+File)
atrDrop = {}
for i in ['REF_X', 'REF_Y', 'REF_LAT', 'REF_LON']:
atrDrop[i] = 'None'
File = ut.add_attribute(File, atrDrop)
return File