1. hpi定标：采集影像时，实时扣暗电流，仅生成gain；

2. 300tc定标：采集时单独采集暗电流影像，生成gain+offset；

1.2radiance_calibration_corning410.py

@@ -0,0 +1,119 @@
+'''
+1、此版本所需文件：dn影像和asd测定的积分球辐亮度曲线
+2、处理过程：不需要扣除暗电流，因为dn影像在采集时已经扣除了暗电流；
+            1）通过辐亮度曲线生成定标文件
+'''
+import numpy as np
+import pandas as pd
+import sys, os, traceback
+from library.image_reader_writer import ImageReaderWriter
+from radiance_calibration_ui import Ui_MainWindow
+from library.multithread import Worker
+
+from PyQt5.QtWidgets import QMainWindow, QFileDialog, QApplication
+from PyQt5.QtCore import Qt
+
+
+class EnterWindow(QMainWindow, Ui_MainWindow):
+    def __init__(self, parent=None):
+        super(EnterWindow, self).__init__(parent)
+        self.setupUi(self)
+
+        self.radiance_calibration_object = RadianceCalibration()
+
+        # self.setWindowState(Qt.WindowMaximized)  # 初始化时就最大化窗口
+
+        self.rad_bt.clicked.connect(self.select_rad)
+        self.dn_bt.clicked.connect(self.select_dn)
+        self.out_file_bt.clicked.connect(self.select_out_file)
+
+        self.operate_bt.clicked.connect(self.operate)
+
+        self.tmp_rad_file_path = None  # 用于保存当前路径，下次打开就默认在此路径下
+        self.tmp_dn_file_path = None  # 用于保存当前路径，下次打开就默认在此路径下
+        self.tmp_out_file_path = None  # 用于保存当前路径，下次打开就默认在此路径下
+
+    def select_rad(self):
+        if self.tmp_rad_file_path == None:
+            rad_file_path = QFileDialog.getOpenFileName(self, '选择asd辐亮度文件', os.path.dirname(__file__))[0]
+
+            self.tmp_rad_file_path = os.path.dirname(rad_file_path)
+        elif self.tmp_rad_file_path is not None:
+            rad_file_path = QFileDialog.getOpenFileName(self, '选择asd辐亮度文件', self.tmp_rad_file_path)[0]
+
+            self.tmp_rad_file_path = os.path.dirname(rad_file_path)
+
+        self.radiance_calibration_object.asd_radiance_file_path = rad_file_path
+        self.rad_le.setText(rad_file_path)
+
+    def select_dn(self):
+        if self.tmp_dn_file_path == None:
+            dn_file_path = QFileDialog.getOpenFileName(self, '选择dn影像', os.path.dirname(__file__))[0]
+
+            self.tmp_dn_file_path = os.path.dirname(dn_file_path)
+        elif self.tmp_dn_file_path is not None:
+            dn_file_path = QFileDialog.getOpenFileName(self, '选择dn影像', self.tmp_dn_file_path)[0]
+
+            self.tmp_dn_file_path = os.path.dirname(dn_file_path)
+
+        self.radiance_calibration_object.dn_file_path = dn_file_path
+        self.dn_le.setText(dn_file_path)
+
+    def select_out_file(self):
+        if self.tmp_out_file_path == None:
+            out_file_path = QFileDialog.getSaveFileName(self, '选择输出文件路径和文件名', os.path.dirname(__file__))[0]
+
+            self.tmp_out_file_path = os.path.dirname(out_file_path)
+        elif self.tmp_out_file_path is not None:
+            out_file_path = QFileDialog.getSaveFileName(self, '选择输出文件路径和文件名', self.tmp_out_file_path)[0]
+
+            self.tmp_out_file_path = os.path.dirname(out_file_path)
+
+        self.radiance_calibration_object.out_file_path = out_file_path
+        self.out_file_le.setText(out_file_path)
+
+    def operate(self):
+        self.radiance_calibration_object.operate()
+
+
+class RadianceCalibration():
+    def __init__(self):
+        # asd_radiance_file = os.path.dirname(__file__) + '\\corning_radance.txt'
+        # img_file_path = os.path.dirname(__file__) + '\\jfq_dn'
+        # out_file = os.path.dirname(__file__) + '\\jfq_dn_gain'
+
+        self.asd_radiance_file_path = None
+        self.dn_file_path = None
+
+        self.img_data = None
+
+        self.out_file_path = None
+
+    def operate(self):
+        try:
+            # 读取asd辐亮度数据
+            data = pd.read_csv(self.asd_radiance_file_path, sep='\t', dtype=np.float64, header=None)
+            self.asd_radiance = np.array(data)
+            # 读取影像
+            img_proj, img_geotrans, self.img_data = ImageReaderWriter.read_img(self.dn_file_path)
+
+            # 将影像所有行平均，得到一行（帧）影像
+            img_data_ave = np.mean(self.img_data, axis=1)
+
+            gain = np.empty((img_data_ave.shape[0], 1, img_data_ave.shape[1]))
+            for i in range(gain.shape[2]):
+                gain[:, 0, i] = self.asd_radiance[:, 1] / img_data_ave[:, i]
+
+            ImageReaderWriter.write_img(self.out_file_path, gain)
+        except:
+            traceback.print_exc()
+
+
+if __name__ == '__main__':
+    app = QApplication(sys.argv)
+
+    # 实例化主窗口
+    enter_window_instance = EnterWindow()
+    enter_window_instance.show()
+
+    sys.exit(app.exec_())