Python Read XML Files

This code is used to extract noise value and rows and columns of sample points from auxiliary XML files of Sentinel-1 image source folders.The file the program reads is attached to the last.

Source Code:

	# -*- coding: utf-8 -*-
	"""
	Created on Mon Sep 10 10:43:16 2018
	@author: Baikal
	"""
	import xml.etree.ElementTree
	import numpy as np
	from scipy import interpolate
	## Read XML files.
	noise_XML = r'G:\201606Sen\scihub.copernicus.eu\201511\S1A_EW_GRDH_1SDH_20151128T125054_20151128T125154_008805_00C8FF_BEC3.SAFE\annotation\calibration\noise-s1a-ew-grd-hh-20151128t125054-20151128t125154-008805-00c8ff-001.xml'
	tree = xml.etree.ElementTree.parse( noise_XML ).getroot()
	root = tree.find( 'noiseVectorList' )
	## To get num_rows of sample points.
	for name, value in root.attrib.items():
	num_rows = int( value )
	## New a matrix to store the datasets.
	noise_value = [ ]
	rows = [ ]
	cols = [ ]
	## To get lines(rows)
	for node in root.findall( 'noiseVector' ):
	## To get num_cols of sample points.
	pixel_root = node.find( 'pixel' )
	for name, value in pixel_root.attrib.items():
	num_cols = int( value )
	### To get concrete Cols position of sample points:
	label = 0
	if label == 0:
	for child in node:
	if child.tag in ( 'pixel' ):
	number_col = child.text
	label = 1
	## To get concrete Rrows(lines) position of sample points:
	for child in node:
	if child.tag in ( 'line' ):
	row_element = child.text
	rows.append( row_element )
	## To get noise value of sample points:
	for child in node:
	if child.tag in ( 'noiseLut' ):
	noise_element = child.text
	noise = noise + [ noise_element ]
	for row in range( num_rows ):
	noise_line = noise[ row ]
	for col in range( num_cols ):
	noise_single = noise_line.split( ' ' )
	noise_value.append( noise_single )
	# Reshape noise_value to a matrix of [ num_rows, num_cols ] size.
	noise_value = np.asarray( noise_value ).reshape( num_rows, num_cols )

view raw gistfile1.txt hosted with ❤ by GitHub

Auxiliary XML Files Links：
https://mega.nz/#!dOIhyajZ!ymdjwhzSgoV1QOubBZpyuXo6WtpMP5t9yG3ydElFZdA