# -*- coding: utf-8 -*-
# AROSICS - Automated and Robust Open-Source Image Co-Registration Software
#
# Copyright (C) 2017-2024
# - Daniel Scheffler (GFZ Potsdam, daniel.scheffler@gfz-potsdam.de)
# - Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences Potsdam,
# Germany (https://www.gfz-potsdam.de/)
#
# This software was developed within the context of the GeoMultiSens project funded
# by the German Federal Ministry of Education and Research
# (project grant code: 01 IS 14 010 A-C).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import warnings
import sys
import os
from typing import Union
# custom
import numpy as np
from geopandas import GeoDataFrame
# internal modules
from py_tools_ds.geo.coord_calc import calc_FullDataset_corner_positions
from py_tools_ds.geo.coord_trafo import pixelToMapYX, imYX2mapYX
from py_tools_ds.geo.raster.reproject import warp_ndarray
from geoarray import GeoArray
__author__ = 'Daniel Scheffler'
[docs]def angle_to_north(XY):
"""Calculate the angle in degrees of a given line to north in clockwise direction.
Angle definition: between [origin:[0,0],north:[0,1]] and [origin:[0,0],pointXY:[X,Y]].
"""
XY = np.array(XY)
XYarr = XY if len(XY.shape) == 2 else XY.reshape((1, 2))
return np.abs(np.degrees(np.array(np.arctan2(XYarr[:, 1], XYarr[:, 0]) - np.pi / 2)) % 360)
[docs]def get_true_corner_mapXY(fPath_or_geoarray, band=0, noDataVal=None, mp=1, v=0, q=0): # pragma: no cover
"""Return the actual map corner coordinates of a given image file or GeoArray instance.
:param fPath_or_geoarray:
:param band: <int> index of the band to be used (starting with 0)
:param noDataVal:
:param mp:
:param v:
:param q:
:return:
"""
# FIXME this function is not used anymore
warnings.warn('This function is not in use anymore. Use it on your own risk!', DeprecationWarning)
geoArr = GeoArray(fPath_or_geoarray) if not isinstance(fPath_or_geoarray, GeoArray) else fPath_or_geoarray
rows, cols = geoArr.shape[:2]
gt, prj = geoArr.geotransform, geoArr.projection
assert gt and prj, 'GeoTransform an projection must be given for calculation of LonLat corner coordinates.'
mask_1bit = np.zeros((rows, cols), dtype='uint8') # zeros -> image area later overwritten by ones
if noDataVal is None:
mask_1bit[:, :] = 1
elif noDataVal == 'ambiguous':
warnings.warn("No data value could not be automatically detected. Thus the matching window used for shift "
"calculation had to be centered in the middle of the overlap area without respecting no data "
"values. To avoid this provide the correct no data values for reference and shift image via "
"'-nodata'")
mask_1bit[:, :] = 1
else:
band_data = geoArr[band] # TODO implement gdal_ReadAsArray_mp (reading in multiprocessing)
mask_1bit[band_data != noDataVal] = 1
if v:
print('detected no data value', noDataVal)
try:
corner_coords_YX = calc_FullDataset_corner_positions(mask_1bit, assert_four_corners=False, algorithm='shapely')
except Exception:
if v:
warnings.warn("\nCalculation of corner coordinates failed within algorithm 'shapely' (Exception: %s)."
" Using algorithm 'numpy' instead." % sys.exc_info()[1])
# FIXME numpy algorithm returns wrong values for S2A_OPER_MSI_L1C_TL_SGS__20160608T153121_A005024_T33UUU_B03.jp2
# FIXME (Hannes)
corner_coords_YX = \
calc_FullDataset_corner_positions(mask_1bit, assert_four_corners=False, algorithm='numpy')
if len(corner_coords_YX) == 4: # this avoids shapely self intersection
corner_coords_YX = list(np.array(corner_coords_YX)[[0, 1, 3, 2]]) # UL, UR, LL, LR => UL, UR, LR, LL
# check if enough unique coordinates have been found
if not len(GeoDataFrame(corner_coords_YX).drop_duplicates().values) >= 3:
if not q:
warnings.warn('\nThe algorithm for automatically detecting the actual image coordinates did not find '
'enough unique corners. Using outer image corner coordinates instead.')
corner_coords_YX = ((0, 0), (0, cols - 1), (rows - 1, 0), (rows - 1, cols - 1))
# check if all points are unique
# all_coords_are_unique = len([UL, UR, LL, LR]) == len(GeoDataFrame([UL, UR, LL, LR]).drop_duplicates().values)
# UL, UR, LL, LR = \
# (UL, UR, LL, LR) if all_coords_are_unique else ((0, 0), (0, cols-1), (rows-1, 0), (rows-1, cols-1))
def get_mapYX(YX): return pixelToMapYX(list(reversed(YX)), geotransform=gt, projection=prj)[0]
corner_pos_XY = [list(reversed(i)) for i in [get_mapYX(YX) for YX in corner_coords_YX]]
return corner_pos_XY
[docs]def get_GeoArrayPosition_from_boxImYX(boxImYX):
"""Return row_start,row_end,col_start,col_end and assumes boxImYX as [UL_YX,UR_YX,LR_YX,LL_YX)."""
rS, cS = boxImYX[0] # UL
rE, cE = boxImYX[2] # LR
return rS, rE - 1, cS, cE - 1 # -1 because boxImYX represents outer box and includes the LR corner of LR pixel