145 lines
4.4 KiB
Python
145 lines
4.4 KiB
Python
#! /usr/bin/env python
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#'''
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##################################################################################
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### Author: Yun-Meng Cao ###
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### Date : March, 2017 ###
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### Email : ymcmrs@gmail.com ###
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### Transform SAR coordinates into LAT/LON coordinates based on lookup table ###
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##################################################################################
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#'''
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import os
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import sys
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import glob
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import time
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import argparse
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import h5py
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import numpy as np
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def check_variable_name(path):
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s=path.split("/")[0]
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if len(s)>0 and s[0]=="$":
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p0=os.getenv(s[1:])
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path=path.replace(path.split("/")[0],p0)
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return path
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def read_template(File, delimiter='='):
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'''Reads the template file into a python dictionary structure.
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Input : string, full path to the template file
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Output: dictionary, pysar template content
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Example:
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tmpl = read_template(KyushuT424F610_640AlosA.template)
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tmpl = read_template(R1_54014_ST5_L0_F898.000.pi, ':')
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'''
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template_dict = {}
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for line in open(File):
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line = line.strip()
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c = [i.strip() for i in line.split(delimiter, 1)] #split on the 1st occurrence of delimiter
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if len(c) < 2 or line.startswith('%') or line.startswith('#'):
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next #ignore commented lines or those without variables
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else:
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atrName = c[0]
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atrValue = str.replace(c[1],'\n','').split("#")[0].strip()
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atrValue = check_variable_name(atrValue)
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template_dict[atrName] = atrValue
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return template_dict
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def read_data(inFile, dtype, nWidth, nLength):
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data = np.fromfile(inFile, dtype, int(nLength)*int(nWidth)).reshape(int(nLength),int(nWidth))
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return data
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def is_number(s):
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try:
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int(s)
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return True
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except ValueError:
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return False
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def add_zero(s):
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if len(s)==1:
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s="000"+s
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elif len(s)==2:
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s="00"+s
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elif len(s)==3:
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s="0"+s
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return s
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def UseGamma(inFile, task, keyword):
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if task == "read":
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f = open(inFile, "r")
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while 1:
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line = f.readline()
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if not line: break
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if line.count(keyword) == 1:
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strtemp = line.split(":")
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value = strtemp[1].strip()
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return value
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print("Keyword " + keyword + " doesn't exist in " + inFile)
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f.close()
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def usage():
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print('''
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******************************************************************************************************
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Transform SAR coordinates into LAT/LON coordinates based on lookup table
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usage:
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SAR2LATLON.py Range Azimuth LookupTableFile UTMDEMpar
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e.g. SAR2LATLON.py 1500 1000 /Yunmeng/20201230.utm_to_rdc /Yunmeng/20201230.dem.utm.par
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*******************************************************************************************************
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''')
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def main(argv):
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if len(sys.argv)==5:
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Range = sys.argv[1]
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Azimuth = sys.argv[2]
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LtFile = sys.argv[3]
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UTMPAR = sys.argv[4]
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else:
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usage();sys.exit(1)
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nWidthUTM = UseGamma(UTMPAR, 'read', 'width:')
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nLineUTM = UseGamma(UTMPAR, 'read', 'nlines:')
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Corner_LAT = UseGamma(UTMPAR, 'read', 'corner_lat:')
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Corner_LON = UseGamma(UTMPAR, 'read', 'corner_lon:')
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Corner_LAT =Corner_LAT.split(' ')[0]
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Corner_LON =Corner_LON.split(' ')[0]
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post_Lat = UseGamma(UTMPAR, 'read', 'post_lat:')
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post_Lon = UseGamma(UTMPAR, 'read', 'post_lon:')
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post_Lat =post_Lat.split(' ')[0]
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post_Lon =post_Lon.split(' ')[0]
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data = read_data(LtFile,'>c8',nWidthUTM,nLineUTM) # real: range imaginary: azimuth
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Range_LT = data.real
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Azimuth_LT = data.imag
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CPX_input =complex(Range + '+' + Azimuth+'j')
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DD = abs(CPX_input - data)
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LL= abs(DD)
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IDX= np.where(LL == LL.min())
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Lat_out = float(Corner_LAT) + IDX[0]*float(post_Lat)
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Lon_out = float(Corner_LON) + IDX[1]*float(post_Lon)
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print(' Range: ' + Range + ' ' + 'Azimuth: ' + Azimuth)
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print(' Latitude: ' + str(Lat_out[0]) + ' ' + 'Longitude: ' + str(Lon_out[0]))
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##############################################################################
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if __name__ == '__main__':
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main(sys.argv[1:])
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