237 lines
9.5 KiB
Python
237 lines
9.5 KiB
Python
import math
|
||
import os
|
||
|
||
import tomli
|
||
import ezdxf
|
||
from ezdxf.tools.standards import linetypes
|
||
from osgeo import gdal
|
||
import numpy as np
|
||
import pandas as pd
|
||
|
||
import dem_utils
|
||
|
||
|
||
class Dem:
|
||
def __init__(self, toml_path):
|
||
with open(toml_path, "rb") as tf:
|
||
toml_dict = tomli.load(tf)
|
||
self._toml_dict = toml_dict
|
||
dem_file_path = toml_dict["parameter"]["dem_file_path"]
|
||
self._dataset = gdal.Open(dem_file_path)
|
||
|
||
def get_dem_info(self, if_print=False):
|
||
"""Get the information of DEM data.
|
||
Parameters:
|
||
dem_data <osgeo.gdal.Dataset> -- The data of DEM.
|
||
if_print <bool> -- If print the information of DEM. Default is False (not print).
|
||
Return:
|
||
... <...> -- The information and parameters of DEM.
|
||
"""
|
||
dem_data = self._dataset
|
||
dem_row = dem_data.RasterYSize # height
|
||
dem_col = dem_data.RasterXSize # width
|
||
dem_band = dem_data.RasterCount
|
||
dem_gt = dem_data.GetGeoTransform()
|
||
dem_proj = dem_data.GetProjection()
|
||
|
||
if if_print:
|
||
print("\nThe information of DEM:")
|
||
print("The number of row (height) is: %d" % dem_row)
|
||
print("The number of column (width) is: %d" % dem_col)
|
||
print("The number of band is: %d" % dem_band)
|
||
print("The 6 GeoTransform parameters are:\n", dem_gt)
|
||
print("The GCS/PCS information is:\n", dem_proj)
|
||
|
||
return dem_row, dem_col, dem_band, dem_gt, dem_proj
|
||
|
||
def write_dxf(self):
|
||
excel_pfs = self._read_path_file()
|
||
for foo in range(len(excel_pfs) - 1):
|
||
start_point_name: str = excel_pfs.iloc[foo, 0]
|
||
end_point_name: str = excel_pfs.iloc[foo + 1, 0]
|
||
point_x_s = float(excel_pfs.iloc[foo, 1])
|
||
point_y_s = float(excel_pfs.iloc[foo, 2])
|
||
point_x_e = float(excel_pfs.iloc[foo + 1, 1])
|
||
point_y_e = float(excel_pfs.iloc[foo + 1, 2])
|
||
line_coordination = self.to_line_coordination(
|
||
point_x_s, point_y_s, point_x_e, point_y_e
|
||
)
|
||
left_elevation = self.get_elevation(line_coordination[:, 0:2])
|
||
center_elevation = self.get_elevation(line_coordination[:, 2:4])
|
||
right_elevation = self.get_elevation(line_coordination[:, 4:6])
|
||
doc = ezdxf.new(dxfversion="R2010")
|
||
# 设置线形
|
||
# for name, desc, pattern in linetypes():
|
||
# if name not in doc.linetypes:
|
||
# doc.linetypes.add(
|
||
# name=name,
|
||
# pattern=pattern,
|
||
# description=desc,
|
||
# )
|
||
msp = doc.modelspace()
|
||
x_axis = [0]
|
||
cord_0 = line_coordination[0, 2:4] # 取中线的
|
||
for cord in line_coordination[1:, 2:4]:
|
||
x_axis.append(dem_utils.distance(cord, cord_0))
|
||
msp.add_polyline2d(
|
||
[
|
||
(x_axis[i] / 5, left_elevation[i] * 2)
|
||
for i in range(len(left_elevation))
|
||
],
|
||
dxfattribs={"color": 1},
|
||
) # 红色
|
||
msp.add_polyline2d(
|
||
[
|
||
(x_axis[i] / 5, center_elevation[i] * 2)
|
||
for i in range(len(center_elevation))
|
||
]
|
||
)
|
||
msp.add_polyline2d(
|
||
[
|
||
(x_axis[i] / 5, right_elevation[i] * 2)
|
||
for i in range(len(right_elevation))
|
||
],
|
||
dxfattribs={"color": 5},
|
||
) # 蓝色
|
||
toml_dict = self._toml_dict
|
||
out_dxf_file_dir = toml_dict["parameter"]["out_dxf_file_dir"]
|
||
os.makedirs(out_dxf_file_dir, exist_ok=True)
|
||
dem_prefix = toml_dict["parameter"]["dem_prefix"]
|
||
doc.saveas(
|
||
f"{out_dxf_file_dir}/{dem_prefix}{start_point_name}_{end_point_name}.dxf"
|
||
)
|
||
|
||
def get_elevation(self, site_x_y):
|
||
"""Get the elevation of given locations from DEM in GCS.
|
||
Parameters:
|
||
dem_gcs <osgeo.gdal.Dataset> -- The input DEM (in GCS).
|
||
site_latlng <numpy.ndarray> -- The latitude and longitude of given locations.
|
||
Return:
|
||
site_ele <numpy.ndarray> -- The elevation and other information of given locations.
|
||
"""
|
||
gdal_data = self._dataset
|
||
|
||
# gdal_band = gdal_data.GetRasterBand(1)
|
||
# nodataval = gdal_band.GetNoDataValue()
|
||
# if np.any(gdal_array == nodataval):
|
||
# gdal_array[gdal_array == nodataval] = np.nan
|
||
|
||
gt = gdal_data.GetGeoTransform()
|
||
# print("\nThe 6 GeoTransform parameters of DEM are:\n", gt)
|
||
|
||
N_site = site_x_y.shape[0]
|
||
Xgeo = site_x_y[:, 0]
|
||
Ygeo = site_x_y[:, 1]
|
||
site_ele = np.zeros(N_site)
|
||
for i in range(N_site):
|
||
# Note:
|
||
# Xgeo = gt[0] + Xpixel * gt[1] + Yline * gt[2]
|
||
# Ygeo = gt[3] + Xpixel * gt[4] + Yline * gt[5]
|
||
#
|
||
# Xpixel - Pixel/column of DEM
|
||
# Yline - Line/row of DEM
|
||
#
|
||
# Xgeo - Longitude
|
||
# Ygeo - Latitude
|
||
#
|
||
# [0] = Longitude of left-top pixel
|
||
# [3] = Latitude of left-top pixel
|
||
#
|
||
# [1] = + Pixel width
|
||
# [5] = - Pixel height
|
||
#
|
||
# [2] = 0 for north up DEM
|
||
# [4] = 0 for north up DEM
|
||
Xpixel = (Xgeo[i] - gt[0]) / gt[1]
|
||
Yline = (Ygeo[i] - gt[3]) / gt[5]
|
||
# 寻找左上，左下，右上，右下4个点
|
||
lu_xy = np.array([math.floor(Xpixel), math.floor(Yline)]) # 左上
|
||
ld_xy = np.array([math.floor(Xpixel), math.ceil(Yline)]) # 左下
|
||
ru_xy = np.array([math.ceil(Xpixel), math.floor(Yline)]) # 右上
|
||
rd_xy = np.array([math.ceil(Xpixel), math.ceil(Yline)]) # 右下
|
||
lu_elevation = gdal_data.ReadAsArray(
|
||
int(lu_xy[0]), int(lu_xy[1]), 1, 1
|
||
).astype(float)
|
||
ld_elevation = gdal_data.ReadAsArray(
|
||
int(ld_xy[0]), int(ld_xy[1]), 1, 1
|
||
).astype(float)
|
||
ru_elevation = gdal_data.ReadAsArray(
|
||
int(ru_xy[0]), int(ru_xy[1]), 1, 1
|
||
).astype(float)
|
||
rd_elevation = gdal_data.ReadAsArray(
|
||
int(rd_xy[0]), int(rd_xy[1]), 1, 1
|
||
).astype(float)
|
||
# delta_x = (Xpixel - ld_xy[0]) / 1 # 距离是1
|
||
# delta_y = (ld_xy[1]-Yline) / 1
|
||
# site_ele[i] = (
|
||
# ld_elevation
|
||
# + (lu_elevation - ld_elevation) * delta_y
|
||
# + (rd_elevation - ld_elevation) * delta_x
|
||
# + (ld_elevation - lu_elevation + ru_elevation - rd_elevation)
|
||
# * delta_x
|
||
# * delta_y
|
||
# )
|
||
|
||
# 通过空间平面方程拟合Z值 参考《数字高程模型教程》 汤国安，李发源，刘学军编著 p89
|
||
equation_a = np.array(
|
||
[
|
||
[lu_xy[0], lu_xy[0] * lu_xy[1], lu_xy[1], 1],
|
||
[ld_xy[0], ld_xy[0] * ld_xy[1], ld_xy[1], 1],
|
||
[ru_xy[0], ru_xy[0] * ru_xy[1], ru_xy[1], 1],
|
||
[rd_xy[0], rd_xy[0] * rd_xy[1], rd_xy[1], 1],
|
||
]
|
||
)
|
||
equation_b = np.array(
|
||
[lu_elevation[0], ld_elevation[0], ru_elevation[0], rd_elevation[0]]
|
||
)
|
||
equation_c = np.linalg.solve(equation_a, equation_b)
|
||
point_z = (
|
||
Xpixel * equation_c[0]
|
||
+ equation_c[1] * Xpixel * Yline
|
||
+ equation_c[2] * Yline
|
||
+ equation_c[3]
|
||
)
|
||
site_ele[i] = point_z
|
||
print(f"row:{Yline} col:{Xpixel} elev:{site_ele[i]}")
|
||
return site_ele
|
||
|
||
def to_line_coordination(self, point_x_s, point_y_s, point_x_e, point_y_e):
|
||
path_length = (
|
||
(point_x_s - point_x_e) ** 2 + (point_y_s - point_y_e) ** 2
|
||
) ** 0.5
|
||
n = round(path_length / 1)
|
||
center_point_x = np.linspace(point_x_s, point_x_e, n, endpoint=True)
|
||
center_point_y = np.linspace(point_y_s, point_y_e, n, endpoint=True)
|
||
# 计算左右边线
|
||
# 计算角度
|
||
toml_dict = self._toml_dict
|
||
side_width = toml_dict["parameter"]["side_width"] # 边线宽度
|
||
_line_angel = math.atan((point_y_e - point_y_s) / (point_x_e - point_x_s))
|
||
if point_x_e < point_x_s:
|
||
line_angel = _line_angel + math.pi / 2
|
||
else:
|
||
line_angel = _line_angel
|
||
left_offset_x = side_width * math.cos(line_angel + math.pi / 2)
|
||
left_offset_y = side_width * math.sin(line_angel + math.pi / 2)
|
||
left_offset_point_x = center_point_x + left_offset_x
|
||
left_offset_point_y = center_point_y + left_offset_y
|
||
right_offset_point_x = center_point_x - left_offset_x # 向左偏移和向右偏移正好是相反的
|
||
right_offset_point_y = center_point_y - left_offset_y
|
||
r = np.array(
|
||
[
|
||
np.array(left_offset_point_x),
|
||
np.array(left_offset_point_y),
|
||
center_point_x,
|
||
center_point_y,
|
||
np.array(right_offset_point_x),
|
||
np.array(right_offset_point_y),
|
||
]
|
||
).T
|
||
return r
|
||
|
||
def _read_path_file(self):
|
||
toml_dict = self._toml_dict
|
||
path_file = toml_dict["parameter"]["path_file"]
|
||
excel_pds = pd.read_excel(path_file)
|
||
return excel_pds
|