2022-05-10 14:28:48 +08:00

148 lines
5.3 KiB
Python

import math
import os
from rscder.plugins.basic import BasicPlugin
from PyQt5.QtWidgets import QAction
from PyQt5.QtCore import pyqtSignal
from rscder.utils.project import PairLayer
from osgeo import gdal, gdal_array
from threading import Thread
import numpy as np
class BasicMethod(BasicPlugin):
message_send = pyqtSignal(str)
@staticmethod
def info():
return {
'name': 'BasicMethod',
'description': 'BasicMethod',
'author': 'RSCDER',
'version': '1.0.0',
}
def set_action(self):
basic_change_detection_menu = self.ctx['basic_change_detection_menu']
basic_diff_method = QAction('差分法')
basic_change_detection_menu.addAction(basic_diff_method)
basic_diff_method.setEnabled(False)
self.basic_diff_method = basic_diff_method
self.message_send.connect(self.send_message)
self.gap = 128
def on_data_load(self, layer_id):
self.basic_diff_method.setEnabled(True)
def send_message(self, s):
self.message_box.info(s)
def run_basic_diff_alg(self, pth1, pth2, cell_size, out):
self.message_send.emit('开始计算差分法')
ds1 = gdal.Open(pth1)
ds2 = gdal.Open(pth2)
xsize = ds1.RasterXSize
ysize = ds1.RasterYSize
band = ds1.RasterCount
yblocks = ysize // cell_size[1]
geo = ds1.GetGeoTransform()
driver = gdal.GetDriverByName('GTiff')
out_tif = os.path.join(out, 'temp.tif')
out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
out_ds.SetGeoTransform(ds1.GetGeoTransform())
out_ds.SetProjection(ds1.GetProjection())
max_diff = 0
min_diff = math.inf
for j in range(yblocks):
self.message_send.emit(f'计算{j}/{yblocks}')
block_xy = (0, j * cell_size[1])
block_size = (xsize, cell_size[1])
if block_xy[1] + block_size[1] > ysize:
block_size = (xsize, ysize - block_xy[1])
block_data1 = ds1.ReadAsArray(*block_xy, *block_size)
block_data2 = ds2.ReadAsArray(*block_xy, *block_size)
if band == 1:
block_data1 = block_data1[None, ...]
block_data2 = block_data2[None, ...]
block_diff = block_data1 - block_data2
block_diff = block_diff.astype(np.float32)
block_diff = block_diff.abs().sum(0)
min_diff = min(min_diff, block_diff.min())
max_diff = max(max_diff, block_diff.max())
out_ds.GetRasterBand(1).WriteArray(block_diff, *block_xy)
self.message_send.emit(f'完成{j}/{yblocks}')
out_ds.FlushCache()
out_ds = None
self.message_send.emit('归一化概率中...')
temp_in_ds = gdal.Open(out_tif)
out_normal_tif = os.path.join(out, 'diff_0_255.tif')
out_normal_ds = driver.Create(out_normal_tif, xsize, ysize, 1, gdal.GDT_Byte)
for j in range(yblocks):
block_xy = (0, j * cell_size[1])
block_size = (xsize, cell_size[1])
if block_xy[1] + block_size[1] > ysize:
block_size = (xsize, ysize - block_xy[1])
block_data = temp_in_ds.ReadAsArray(*block_xy, *block_size)
block_data = (block_data - min_diff) / (max_diff - min_diff) * 255
block_data = block_data.astype(np.uint8)
out_normal_ds.GetRasterBand(1).WriteArray(block_data, *block_xy)
out_normal_ds.FlushCache()
out_normal_ds = None
self.message_send.emit('完成归一化概率')
self.message_send.emit('计算变化表格中...')
out_csv = os.path.join(out, 'diff_table.csv')
xblocks = xsize // cell_size[0]
with open(out_csv, 'w') as f:
f.write('x,y,diff,status\n')
for j in range(yblocks):
block_xy = (0, j * cell_size[1])
block_size = (xsize, cell_size[1])
if block_xy[1] + block_size[1] > ysize:
block_size = (xsize, ysize - block_xy[1])
block_data = temp_in_ds.ReadAsArray(*block_xy, *block_size)
for i in range(xblocks):
start_x = i * cell_size[0]
end_x = start_x + cell_size[0]
if end_x > xsize:
end_x = xsize
block_data_xy = block_data[:, start_x:end_x]
if block_data_xy.mean() > self.gap:
center_x = start_x + cell_size[0] // 2
center_y = j * cell_size[1] + cell_size[1] // 2
center_x = center_x * geo[1] + geo [0]
center_y = center_y * geo[5] + geo [3]
f.write(f'{center_x},{center_y},{block_data_xy.mean()},1\n')
self.message_send.emit('完成计算变化表格')
self.message_send.emit('差分法计算完成')
def basic_diff_alg(self):
# layer_select =
layer:PairLayer = self.project.layers.values()[0]
img1 = layer.pth2
img2 = layer.pth2
if not layer.check():
return
t = Thread(target=self.run_basic_diff_alg, args=(img1, img2, layer.pth1))
t.start()